{"title":"GPUs","description":"","products":[{"product_id":"900-21030-3445-100-nvidia-tesla-m2090-graphics-processing-unit","title":"Nvidia Tesla M2090 Graphics Processing Unit 900-21030-3445-100","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":41868827000905,"sku":"900-21030-3445-100","price":37.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/de585ef3-1e94-56d6-9c37-b04646a2fd90.png?v=1784570786"},{"product_id":"900-52055-0020-000-nvidia-p2055-grid-k2-8gb-gddr5-3072-cuda-core-pcie-225w-graphics-card","title":"Nvidia P2055 Grid K2 8GB GDDR5 CUDA Core 225W Graphics Card 900-52055-0020-000","description":"\u003cp data-end=\"177\" data-start=\"96\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"177\" data-start=\"96\"\u003eNVIDIA GRID K2 GPU Accelerator 8GB GDDR5 900-52055-0020-000\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"579\" data-start=\"179\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"222\" data-start=\"183\"\u003eNVIDIA GRID K2 (900-52055-0020-000)\u003c\/strong\u003e is a high-performance GPU accelerator engineered for virtual desktop infrastructure (VDI), remote workstation environments, and enterprise virtualization platforms. Powered by dual Kepler-based GPUs, the GRID K2 delivers outstanding graphical acceleration for users running demanding 3D, CAD, modeling, and simulation workloads in virtualized environments.\u003c\/p\u003e\n\n\u003cp data-end=\"941\" data-start=\"581\" style=\"text-align: justify;\"\u003eEquipped with \u003cstrong data-end=\"618\" data-start=\"595\"\u003e8GB of GDDR5 memory\u003c\/strong\u003e (4GB per GPU) and a total of \u003cstrong data-end=\"668\" data-start=\"648\"\u003e3,072 CUDA cores\u003c\/strong\u003e, this card offers exceptional parallel processing capability for multi-user virtualization. Its \u003cstrong data-end=\"788\" data-start=\"765\"\u003ePCI Express 3.0 x16\u003c\/strong\u003e interface ensures optimal bandwidth, while its \u003cstrong data-end=\"862\" data-start=\"836\"\u003epassive cooling design\u003c\/strong\u003e enables deployment in high-density servers that provide robust system airflow.\u003c\/p\u003e\n\n\u003cp data-end=\"1286\" data-start=\"943\" style=\"text-align: justify;\"\u003eThe GRID K2 is a server-optimized GPU, featuring \u003cstrong data-end=\"1020\" data-start=\"992\"\u003eno onboard display ports\u003c\/strong\u003e, as it is built exclusively for virtual GPU (vGPU) workloads, remote rendering, and hosted desktops. With a \u003cstrong data-end=\"1152\" data-start=\"1129\"\u003e225W max power draw\u003c\/strong\u003e and a durable \u003cstrong data-end=\"1192\" data-start=\"1167\"\u003edual-slot form factor\u003c\/strong\u003e, the GRID K2 integrates seamlessly into enterprise-class systems designed for virtualization.\u003c\/p\u003e\n\n\u003cp data-end=\"1313\" data-start=\"1288\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1311\" data-start=\"1288\"\u003eKey Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cul data-end=\"1806\" data-start=\"1314\"\u003e\n\t\u003cli data-end=\"1369\" data-start=\"1314\"\u003e\n\t\u003cp data-end=\"1369\" data-start=\"1316\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1330\" data-start=\"1316\"\u003eGPU Model:\u003c\/strong\u003e NVIDIA GRID K2 (Kepler architecture)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1409\" data-start=\"1370\"\u003e\n\t\u003cp data-end=\"1409\" data-start=\"1372\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1388\" data-start=\"1372\"\u003ePart Number:\u003c\/strong\u003e 900-52055-0020-000\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1449\" data-start=\"1410\"\u003e\n\t\u003cp data-end=\"1449\" data-start=\"1412\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1423\" data-start=\"1412\"\u003eMemory:\u003c\/strong\u003e 8GB GDDR5 (4GB per GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1497\" data-start=\"1450\"\u003e\n\t\u003cp data-end=\"1497\" data-start=\"1452\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1467\" data-start=\"1452\"\u003eCUDA Cores:\u003c\/strong\u003e 3,072 total (1,536 per GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1530\" data-start=\"1498\"\u003e\n\t\u003cp data-end=\"1530\" data-start=\"1500\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1520\" data-start=\"1500\"\u003eGPU Clock Speed:\u003c\/strong\u003e 745 MHz\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1569\" data-start=\"1531\"\u003e\n\t\u003cp data-end=\"1569\" data-start=\"1533\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1547\" data-start=\"1533\"\u003eInterface:\u003c\/strong\u003e PCI Express 3.0 x16\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1614\" data-start=\"1570\"\u003e\n\t\u003cp data-end=\"1614\" data-start=\"1572\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1588\" data-start=\"1572\"\u003eForm Factor:\u003c\/strong\u003e Dual-slot, 10.5\" length\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1650\" data-start=\"1615\"\u003e\n\t\u003cp data-end=\"1650\" data-start=\"1617\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1643\" data-start=\"1617\"\u003eMax Power Consumption:\u003c\/strong\u003e 225W\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1718\" data-start=\"1651\"\u003e\n\t\u003cp data-end=\"1718\" data-start=\"1653\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1665\" data-start=\"1653\"\u003eCooling:\u003c\/strong\u003e Passive heatsink (requires strong chassis airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1806\" data-start=\"1719\"\u003e\n\t\u003cp data-end=\"1806\" data-start=\"1721\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1739\" data-start=\"1721\"\u003eVideo Outputs:\u003c\/strong\u003e None; designed exclusively for virtualized graphics acceleration\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp data-end=\"2039\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"1808\" style=\"text-align: justify;\"\u003eIdeal for VMware, Citrix, and Microsoft VDI deployments, the \u003cstrong data-end=\"1906\" data-start=\"1869\"\u003eNVIDIA GRID K2 900-52055-0020-000\u003c\/strong\u003e provides reliable, scalable GPU virtualization performance for enterprise workloads requiring powerful remote graphics capabilities.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003eOther Relate Parts Number: 699-52055-0552-320\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":41871840870473,"sku":"900-52055-0020-000","price":94.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/d838d3d8-f3f1-5f20-a60a-f069464aaf63.png?v=1765297866"},{"product_id":"dell-nvidia-tesla-k80-24gb-2496-processor-gpu-accelerator-card","title":"NVIDIA Tesla K80 Kepler GPU Cuda 24GB GDDR5 PCI-E 3.0 Graphics Card Accelerator (K80)","description":"","brand":"Dell","offers":[{"title":"Default Title","offer_id":41871841034313,"sku":"K80","price":46.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/66b79b38-c155-5051-9327-53d9acbcde7a.jpg?v=1737570958"},{"product_id":"hp-nvidia-quadro-p620-2gb-gddr5-4x-mini-dp-high-profile-gpu-900-5g212-0340-000","title":"HP NVIDIA Quadro P620 2GB GDDR5 4x Mini-DP High Profile GPU 900-5G212-0340-000","description":"","brand":"HP","offers":[{"title":"Default Title","offer_id":54552293474377,"sku":"900-5G212-0340-000","price":46.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/68e4fa59-44e3-5de7-aa08-7b77ba870ddb.png?v=1750776350"},{"product_id":"barco-mxrt-7500-amd-firepro-w7100-8gb-medical-graphics-card-k9306037-00","title":"Barco MXRT-7500 AMD FirePro W7100 8GB Medical Graphics Card K9306037-00","description":"\u003cp\u003eThis is a \u003cb\u003eBarco MXRT-7500 3D Medical Display Controller (P\/N: K9306037-00)\u003c\/b\u003e. Based on the powerful \u003cb\u003eAMD FirePro W7100\u003c\/b\u003e GPU with \u003cb\u003e8GB of GDDR5 memory\u003c\/b\u003e, this card is engineered to drive high-resolution diagnostic displays for a wide range of medical imaging applications. It delivers the performance, image quality, and reliability required for confident diagnostic viewing in mission-critical healthcare environments.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch3\u003e\u003cb\u003eKey Features\u003c\/b\u003e\u003c\/h3\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eHigh-Performance 3D Graphics:\u003c\/b\u003e Designed for demanding 2D and 3D medical imaging applications, such as PACS, computed tomography (CT), and magnetic resonance imaging (MRI).\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003e8GB GDDR5 Memory:\u003c\/b\u003e The large 8GB frame buffer is ideal for loading and manipulating large medical image datasets with speed and fluidity.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eQuad-Display Output:\u003c\/b\u003e Features \u003cb\u003efour DisplayPort 1.2 outputs\u003c\/b\u003e, allowing it to drive multiple high-resolution medical monitors from a single PCIe slot.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eOptimized for Medical Imaging:\u003c\/b\u003e As a Barco display controller, it is designed and validated for use with Barco's diagnostic display systems and software, ensuring exceptional image quality and compliance.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Barco","offers":[{"title":"Default Title","offer_id":54602196090953,"sku":"K9306037-00","price":35.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/8f7b2f25-9c46-55e6-aab0-daec4b15843e.png?v=1752615569"},{"product_id":"nvidia-tesla-p40-p41-24gb-gddr5-3840-cuda-cores-ai-deep-learning-llm-inference-passive-data-center-gpu-accelerator-server-graphics-card-699-1g610-0300-100","title":"NVIDIA Tesla P40 P41 24GB GDDR5 3840 CUDA Cores AI Deep Learning LLM Inference Passive Data Center GPU Accelerator Server Graphics Card 699-1G610-0300-100","description":"\u003ch2 style=\"text-align: justify;\"\u003e\n\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cstrong\u003eNVIDIA Tesla P40 P41 24GB GDDR5 3840 CUDA Cores AI Deep Learning LLM Inference Passive Data Center GPU Accelerator Server Graphics Card 699-1G610-0300-100\u003c\/strong\u003e\n\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eBoost your AI, machine learning, virtualization, and deep learning workloads with the NVIDIA Tesla P40 Data Center GPU Accelerator. Featuring 24GB of GDDR5 memory and 3,840 CUDA cores, the Tesla P40 is designed for inference, neural network training, high-performance computing (HPC), virtual desktop infrastructure (VDI), and data center acceleration. Its passive cooling design makes it ideal for deployment in rack-mounted enterprise servers and GPU-accelerated computing environments.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSpecifications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eManufacturer: NVIDIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: Tesla P40 \/ P41\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Architecture: Pascal\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Capacity: 24GB GDDR5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 3,840\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Interface: 384-Bit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Bandwidth: Up to 346 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Full-Height, Full-Length\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling: Passive Heatsink\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInterface: PCI Express 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Consumption: 250W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAuxiliary Power: 8-Pin PCIe Power Connector\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDisplay Outputs: None (Data Center Accelerator)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePart Number: 699-1G610-0300-100\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Server Platforms\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL380 Gen9\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL380 Gen10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL385 Gen10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge R730\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge R740\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge R750\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLenovo ThinkSystem SR650\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLenovo ThinkSystem SR670\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS C240 Series\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupermicro GPU Servers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOther PCIe x16 servers supporting passive GPU accelerators\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eFeatures\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e24GB high-capacity GDDR5 memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e3,840 CUDA cores for parallel processing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOptimized for AI inference and deep learning workloads\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eExcellent performance for LLM inference applications\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIdeal for machine learning, HPC, virtualization, and cloud computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise-grade reliability for 24\/7 operation\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports NVIDIA CUDA, TensorRT, and GPU acceleration frameworks\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive cooling design for data center deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eApplications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLarge Language Model (LLM) Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHigh Performance Computing (HPC)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtual Desktop Infrastructure (VDI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVideo Analytics\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData Analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCondition\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eTested and fully functional. Pulled from a working data center environment. May show minor cosmetic signs of handling that do not affect performance.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePackage Includes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e1x NVIDIA Tesla P40 \/ P41 24GB GDDR5 GPU Accelerator Card\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eOther Compatible Part Numbers:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e699-1G610-0300-100, 699-2H400-0200-800, 900-2G610-0000-000, 900-2G610-0010-000, 900-2G610-0040-000, Tesla P40, Tesla P41, PG611, 699-1G611-0200-100.\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":54608624386121,"sku":"699-1G610-0300-100","price":331.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/8a083c39-5683-5e8d-b6ab-2f7ad45ec730.png?v=1791044607"},{"product_id":"ibm-power-gxt145-pcie-graphics-accelerator-for-power-systems-f7229-00-10n7756","title":"IBM POWER GXT145 PCIe Graphics Accelerator for Power Systems. 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Based on the powerful and efficient \u003cb\u003eNVIDIA Kepler™ architecture\u003c\/b\u003e, this card is designed for a high-performance 1080p gaming experience, providing the power to run graphically demanding titles from its era with high frame rates.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch3\u003e\n\u003cb\u003eKey Features\u003c\/b\u003e \u003c\/h3\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eFTW (For The Win) Edition:\u003c\/b\u003e A key feature is its factory overclock, providing higher core and boost clock speeds for superior out-of-the-box performance compared to reference models.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eKepler Architecture Power:\u003c\/b\u003e Built on the powerful Kepler GPU architecture, featuring \u003cb\u003e1344 NVIDIA CUDA® cores\u003c\/b\u003e for great performance in games and GPU-accelerated applications.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003e2GB GDDR5 Memory:\u003c\/b\u003e Equipped with 2GB of high-speed GDDR5 memory on a 256-bit interface, providing excellent bandwidth for high-resolution textures.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eMulti-Monitor Support:\u003c\/b\u003e Features a versatile set of display outputs, including \u003cb\u003eone DVI-I, one DVI-D, one HDMI, and one DisplayPort\u003c\/b\u003e, capable of driving multi-monitor surround gaming setups.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eNVIDIA GPU Boost:\u003c\/b\u003e Dynamically maximizes clock speeds to push performance to new levels, ensuring you get the most out of every game.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"EVGA","offers":[{"title":"Default Title","offer_id":54698396876873,"sku":"02G-P4-2678-KR","price":37.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/4fdc51cf-c082-5737-bb6e-1db702771f0c.png?v=1757084086"},{"product_id":"nvidia-geforce-gtx-titan-x-12gb-gddr5x-pascal-gaming-workstation-graphics-card-dvi-hdmi-3x-displayport-p-n-900-1g600-0000-000","title":"NVIDIA GeForce GTX TITAN X 12GB GDDR5X Pascal Gaming \u0026 Workstation Graphics Card. DVI, HDMI, 3x DisplayPort. P\/N: 900-1G600-0000-000.","description":"\u003cp\u003eThis is the \u003cb\u003eNVIDIA GeForce GTX TITAN X 12GB GDDR5X Graphics Card\u003c\/b\u003e (P\/N: \u003cb\u003e900-1G600-0000-000\u003c\/b\u003e), a legendary GPU engineered for extreme PC gaming and demanding workstation applications. Based on the powerful \u003cb\u003eNVIDIA Pascal™ architecture\u003c\/b\u003e, the TITAN X was the undisputed performance king of its generation, delivering the power required for 4K gaming and professional content creation.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch3\u003e\u003cb\u003eKey Features\u003c\/b\u003e\u003c\/h3\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003ePascal Architecture Power:\u003c\/b\u003e Built on the groundbreaking Pascal GPU architecture, featuring a massive \u003cb\u003e3584 NVIDIA CUDA® cores\u003c\/b\u003e for incredible performance in games and GPU-accelerated applications.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eMassive 12GB GDDR5X Memory:\u003c\/b\u003e Equipped with \u003cb\u003e12GB of high-speed GDDR5X memory\u003c\/b\u003e on a 384-bit interface, providing enormous bandwidth for ultra-high-resolution textures and massive datasets.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eMulti-Monitor Support:\u003c\/b\u003e Features a versatile set of display outputs, including \u003cb\u003eone DVI, one HDMI 2.0b, and three DisplayPort 1.4\u003c\/b\u003e connections, capable of driving multiple high-resolution displays.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003ePremium Build Quality:\u003c\/b\u003e Features a robust die-cast aluminum body and a high-performance vapor chamber cooler, reflecting its status as a flagship graphics card.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":54698526539849,"sku":"900-1G600-0000-000","price":201.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/4a843708-1d6e-5522-8cad-6742b0dfda6f.png?v=1757089745"},{"product_id":"nvidia-tesla-m60-16gb-gddr5-maxwell-dual-gpu-vdi-grid-data-center-gpu-accelerator-699-2g402-0040-300","title":"NVIDIA Tesla M60 16GB GDDR5 Maxwell  Dual-GPU VDI GRID Data Center GPU Accelerator 699-2G402-0040-300","description":"\u003cp style=\"text-align: justify;\"\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eNVIDIA Tesla M60 16GB GDDR5 Maxwell Dual-GPU VDI GRID Data Center GPU Accelerator 699-2G402-0040-300\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003ePower your virtualized environments with the \u003cstrong\u003eNVIDIA Tesla M60\u003c\/strong\u003e, a high-performance enterprise GPU accelerator designed for Virtual Desktop Infrastructure (VDI), graphics virtualization, and data center computing. Built on NVIDIA's proven \u003cstrong\u003eMaxwell architecture\u003c\/strong\u003e, the Tesla M60 combines \u003cstrong\u003etwo physical GPUs on a single card\u003c\/strong\u003e, delivering exceptional performance for demanding virtual workloads, remote visualization, and GPU-accelerated applications.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eWith \u003cstrong\u003e16GB of GDDR5 memory\u003c\/strong\u003e split across two GPUs (8GB per GPU), the Tesla M60 is engineered to support NVIDIA GRID deployments, allowing multiple virtual machines and users to share GPU resources efficiently. Its passive cooling design makes it ideal for rack-mounted servers and enterprise environments where airflow is managed by the chassis.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eWhether you're deploying virtual desktops, supporting CAD and engineering applications, enabling remote workstations, or accelerating data center workloads, the Tesla M60 offers the reliability and scalability required by modern businesses.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Tesla M60 Data Center GPU Accelerator\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Maxwell GPU Architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDual-GPU Design (2 GPUs on a Single Board)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e16GB GDDR5 Memory Total (8GB per GPU)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e4,096 CUDA Cores Total\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePCI Express 3.0 x16 Interface\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA GRID vGPU \u0026amp; VDI Ready\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Memory Support for Enterprise Reliability\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive Cooling Heatsink Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIdeal for Virtualization, Remote Workstations, AI Inference, and Cloud Graphics\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Part Number: \u003cstrong\u003e699-2G402-0040-300E\u003c\/strong\u003e\n\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAlternate Part Number: \u003cstrong\u003e699-2G402-0040-000\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSpecifications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eManufacturer:\u003c\/strong\u003e NVIDIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e Tesla M60\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eArchitecture:\u003c\/strong\u003e Maxwell\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 4,096 Total\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 16GB GDDR5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMemory Allocation:\u003c\/strong\u003e 8GB Per GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 320 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eBus Interface:\u003c\/strong\u003e PCI Express 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Full-Height, Full-Length, Dual-Slot\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eCooling Type:\u003c\/strong\u003e Passive Heatsink\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMaximum Power Consumption:\u003c\/strong\u003e 300W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003ePower Connector:\u003c\/strong\u003e 8-Pin\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eDisplay Outputs:\u003c\/strong\u003e None (Headless Data Center GPU)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e699-2G402-0040-300E\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e699-2G402-0040-000\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtual Desktop Infrastructure (VDI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA GRID Virtual GPU Deployments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVMware ESXi and Citrix Environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRemote Graphics Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCAD, Engineering, and Design Applications\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMedical Imaging Visualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI Inference and Compute Workloads\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCloud and Enterprise Data Centers\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cblockquote\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e This is a passive-cooled server GPU intended for enterprise servers with adequate chassis airflow. The Tesla M60 does not include physical display outputs and is designed specifically for virtualization, VDI, and GPU-accelerated compute environments.\u003c\/p\u003e\n\u003c\/blockquote\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":54704980557897,"sku":"699-2G402-0040-300E","price":198.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/dd7f26ba-375d-5a4c-88b2-c6ac63587e06.png?v=1786726335"},{"product_id":"dell-nvidia-tesla-p100-16gb-pcie-hbm2-gpu-graphics-accelerator-card-0rgkp9-rgkp9","title":"Dell Nvidia Tesla P100 16GB PCIe HBM2 GPU Graphics Accelerator Card 0RGKP9 RGKP9","description":"","brand":"Dell","offers":[{"title":"Default Title","offer_id":54789808554057,"sku":"RGKP9","price":1205.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/ae1001bc-e9cd-5931-9fee-d3402e7ee654.jpg?v=1761168583"},{"product_id":"nvidia-tesla-v100-volta-32gb-hbm2-pcie-3-0-gpu-graphics-card-699-2g500-0202-400","title":"Nvidia Tesla V100 Volta 32GB HBM2 PCIe 3.0 GPU Graphics Card 699-2G500-0202-400","description":"\u003cp data-end=\"253\" data-start=\"151\"\u003e\u003cstrong data-end=\"251\" data-start=\"151\"\u003eNVIDIA Tesla V100 32GB AI \u0026amp; HPC Special PCIe Graphics Card (Part Numbers: 699-2G500-0202-400, 900-2G500-0010-000)\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"603\" data-start=\"255\"\u003eBoost your AI, machine learning, and high-performance computing workloads with the \u003cstrong data-end=\"385\" data-start=\"338\"\u003eNVIDIA Tesla V100 32GB PCIe GPU Accelerator\u003c\/strong\u003e. Powered by the advanced \u003cstrong data-end=\"440\" data-start=\"411\"\u003eNVIDIA Volta architecture\u003c\/strong\u003e, this enterprise-grade graphics card delivers exceptional computational power and memory bandwidth for the most demanding data center and research applications.\u003c\/p\u003e\n\n\u003cp data-end=\"630\" data-start=\"605\"\u003e\u003cstrong data-end=\"628\" data-start=\"605\"\u003eKey Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cul data-end=\"1209\" data-start=\"631\"\u003e\n\t\u003cli data-end=\"665\" data-start=\"631\"\u003e\n\t\u003cp data-end=\"665\" data-start=\"633\"\u003e\u003cstrong data-end=\"650\" data-start=\"633\"\u003eArchitecture:\u003c\/strong\u003e NVIDIA Volta\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"691\" data-start=\"666\"\u003e\n\t\u003cp data-end=\"691\" data-start=\"668\"\u003e\u003cstrong data-end=\"683\" data-start=\"668\"\u003eCUDA Cores:\u003c\/strong\u003e 5,120\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"717\" data-start=\"692\"\u003e\n\t\u003cp data-end=\"717\" data-start=\"694\"\u003e\u003cstrong data-end=\"711\" data-start=\"694\"\u003eTensor Cores:\u003c\/strong\u003e 640\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"762\" data-start=\"718\"\u003e\n\t\u003cp data-end=\"762\" data-start=\"720\"\u003e\u003cstrong data-end=\"743\" data-start=\"720\"\u003eTensor Performance:\u003c\/strong\u003e Up to 112 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"810\" data-start=\"763\"\u003e\n\t\u003cp data-end=\"810\" data-start=\"765\"\u003e\u003cstrong data-end=\"798\" data-start=\"765\"\u003eSingle-Precision Performance:\u003c\/strong\u003e 14 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"857\" data-start=\"811\"\u003e\n\t\u003cp data-end=\"857\" data-start=\"813\"\u003e\u003cstrong data-end=\"846\" data-start=\"813\"\u003eDouble-Precision Performance:\u003c\/strong\u003e 7 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"914\" data-start=\"858\"\u003e\n\t\u003cp data-end=\"914\" data-start=\"860\"\u003e\u003cstrong data-end=\"875\" data-start=\"860\"\u003eBase Clock:\u003c\/strong\u003e 1230 MHz | \u003cstrong data-end=\"903\" data-start=\"887\"\u003eBoost Clock:\u003c\/strong\u003e 1380 MHz\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"961\" data-start=\"915\"\u003e\n\t\u003cp data-end=\"961\" data-start=\"917\"\u003e\u003cstrong data-end=\"928\" data-start=\"917\"\u003eMemory:\u003c\/strong\u003e 32GB HBM2 (4096-bit interface)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"996\" data-start=\"962\"\u003e\n\t\u003cp data-end=\"996\" data-start=\"964\"\u003e\u003cstrong data-end=\"985\" data-start=\"964\"\u003eMemory Bandwidth:\u003c\/strong\u003e 900 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1035\" data-start=\"997\"\u003e\n\t\u003cp data-end=\"1035\" data-start=\"999\"\u003e\u003cstrong data-end=\"1014\" data-start=\"999\"\u003eECC Memory:\u003c\/strong\u003e Enabled by default\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1089\" data-start=\"1036\"\u003e\n\t\u003cp data-end=\"1089\" data-start=\"1038\"\u003e\u003cstrong data-end=\"1052\" data-start=\"1038\"\u003eInterface:\u003c\/strong\u003e PCIe Gen3 x16 (Full Height\/Length)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1148\" data-start=\"1090\"\u003e\n\t\u003cp data-end=\"1148\" data-start=\"1092\"\u003e\u003cstrong data-end=\"1114\" data-start=\"1092\"\u003ePower Consumption:\u003c\/strong\u003e 250W (Passive Cooling Solution)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1209\" data-start=\"1149\"\u003e\n\t\u003cp data-end=\"1209\" data-start=\"1151\"\u003e\u003cstrong data-end=\"1178\" data-start=\"1151\"\u003eSupported Compute APIs:\u003c\/strong\u003e CUDA, DirectCompute, OpenACC\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp data-end=\"1557\" data-start=\"1211\"\u003eThe \u003cstrong data-end=\"1236\" data-start=\"1215\"\u003eNVIDIA Tesla V100\u003c\/strong\u003e (Part Numbers: \u003cstrong data-end=\"1274\" data-start=\"1252\"\u003e699-2G500-0202-400\u003c\/strong\u003e and \u003cstrong data-end=\"1301\" data-start=\"1279\"\u003e900-2G500-0010-000\u003c\/strong\u003e) sets the standard for AI training, deep learning inference, and scientific simulation workloads. With massive parallel processing power and high-speed memory, it’s ideal for researchers, data scientists, and enterprises aiming to accelerate innovation.\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":54818243838025,"sku":"699-2G500-0202-400","price":901.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/fb8a94ec-5b34-51df-a121-1e07a375a3d3.png?v=1762458884"},{"product_id":"nvidia-tesla-v100-16gb-hbm2-gpu-accelerator-graphics-card-699-2g500-0200-300","title":"Nvidia Tesla V100 16GB HBM2 GPU Accelerator Graphics Card 699-2G500-0200-300","description":"\u003cp data-end=\"257\" data-start=\"183\"\u003e\u003cstrong data-end=\"257\" data-start=\"183\"\u003eNVIDIA Tesla V100 16GB PCIe GPU Accelerator – Part #699-2G500-0200-300 \u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"665\" data-start=\"259\"\u003eBoost your AI, deep learning, and high-performance computing (HPC) workloads with the \u003cstrong data-end=\"392\" data-start=\"345\"\u003eNVIDIA Tesla V100 16GB PCIe GPU Accelerator\u003c\/strong\u003e, powered by the advanced \u003cstrong data-end=\"440\" data-start=\"418\"\u003eVolta architecture\u003c\/strong\u003e. Engineered for data centers and researchers, this GPU delivers exceptional computational power with \u003cstrong data-end=\"562\" data-start=\"542\"\u003e5,120 CUDA cores\u003c\/strong\u003e, \u003cstrong data-end=\"584\" data-start=\"564\"\u003e640 Tensor cores\u003c\/strong\u003e, and \u003cstrong data-end=\"624\" data-start=\"590\"\u003e16GB of ultra-fast HBM2 memory\u003c\/strong\u003e offering up to \u003cstrong data-end=\"662\" data-start=\"640\"\u003e900 GB\/s bandwidth\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003cp data-end=\"976\" data-start=\"667\"\u003eDesigned for scalable performance, the Tesla V100 supports PCI Express 3.0 x16 and operates efficiently within professional server environments requiring \u003cstrong data-end=\"840\" data-start=\"821\"\u003epassive cooling\u003c\/strong\u003e. With up to \u003cstrong data-end=\"879\" data-start=\"853\"\u003e250W power consumption\u003c\/strong\u003e, it’s ideal for intensive AI training, scientific simulations, and large-scale data analytics.\u003c\/p\u003e\n\n\u003cp data-end=\"997\" data-start=\"978\"\u003e\u003cstrong data-end=\"995\" data-start=\"978\"\u003eKey Features:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cul data-end=\"1286\" data-start=\"998\"\u003e\n\t\u003cli data-end=\"1026\" data-start=\"998\"\u003e\n\t\u003cp data-end=\"1026\" data-start=\"1000\"\u003eModel: NVIDIA Tesla V100\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1062\" data-start=\"1027\"\u003e\n\t\u003cp data-end=\"1062\" data-start=\"1029\"\u003ePart Number: 699-2G500-0200-300 \/ 900-2G500-0000-000\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1090\" data-start=\"1063\"\u003e\n\t\u003cp data-end=\"1090\" data-start=\"1065\"\u003eGPU Architecture: Volta\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1112\" data-start=\"1091\"\u003e\n\t\u003cp data-end=\"1112\" data-start=\"1093\"\u003eMemory: 16GB HBM2\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1154\" data-start=\"1113\"\u003e\n\t\u003cp data-end=\"1154\" data-start=\"1115\"\u003eCUDA Cores: 5,120 | Tensor Cores: 640\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1191\" data-start=\"1155\"\u003e\n\t\u003cp data-end=\"1191\" data-start=\"1157\"\u003eMemory Bandwidth: Up to 900 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1219\" data-start=\"1192\"\u003e\n\t\u003cp data-end=\"1219\" data-start=\"1194\"\u003eInterface: PCIe 3.0 x16\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1266\" data-start=\"1220\"\u003e\n\t\u003cp data-end=\"1266\" data-start=\"1222\"\u003eCooling: Passive (server airflow required)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1286\" data-start=\"1267\"\u003e\n\t\u003cp data-end=\"1286\" data-start=\"1269\"\u003ePower: 250W TDP\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp data-end=\"1406\" data-start=\"1288\"\u003e\u003cstrong data-end=\"1302\" data-start=\"1288\"\u003eIdeal For:\u003c\/strong\u003e\u003cbr data-end=\"1305\" data-start=\"1302\"\u003e\nAI research • Deep learning training • HPC clusters • Data science workloads • Scientific computing\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":54818314682441,"sku":"699-2G500-0200-300","price":379.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/541a83b5-5586-5cb8-812a-0df7b4440fc8.png?v=1762463164"},{"product_id":"dell-nvidia-quadro-m2000-4gb-gddr5-4-port-video-graphics-card-0w2tp6-w2tp6","title":"Dell Nvidia Quadro M2000 4GB GDDR5 4 Port Video Graphics Card 0W2TP6 W2TP6","description":"\u003cp\u003eGPU: Quadro M2000\u003cbr\u003e\nCUDA Cores: 768\u003cbr\u003e\nMemory Size: 4GB\u003cbr\u003e\nMemory Type: GDDR5\u003cbr\u003e\nDisplay Port: 4 X DisplayPort 1.2\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":54855426637897,"sku":"W2TP6","price":50.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/3b09bb64-241d-581f-8733-cf553126f951.png?v=1764113801"},{"product_id":"nvidia-tesla-k80-gpu-24gb-gddr5-pcie-3-0-gpu-accelerator-card-699-22080-0200-520","title":"Nvidia Tesla K80 GPU 24GB GDDR5 PCIe 3.0 GPU Accelerator Card 699-22080-0200-520","description":"\u003cp data-end=\"348\" data-start=\"160\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"348\" data-start=\"160\"\u003eNvidia Tesla K80 GPU 24GB GDDR5 PCI Express 3.0 x16 GPU Accelerator Graphic Card | Model P2080 | 699-22080-0200-520 | 900-22080-0000-000 — Dual-GPU High-Performance Compute Accelerator\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"776\" data-start=\"350\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"374\" data-start=\"354\"\u003eNvidia Tesla K80\u003c\/strong\u003e is a powerful dual-GPU accelerator engineered for scientific computing, deep learning, HPC clusters, and large-scale data processing workloads. This enterprise-grade GPU—model \u003cstrong data-end=\"560\" data-start=\"551\"\u003eP2080\u003c\/strong\u003e, part numbers \u003cstrong data-end=\"597\" data-start=\"575\"\u003e699-22080-0200-520\u003c\/strong\u003e and \u003cstrong data-end=\"624\" data-start=\"602\"\u003e900-22080-0000-000\u003c\/strong\u003e—combines two Kepler GK210 GPUs on a single board, delivering massive parallel performance, advanced ECC protection, and exceptional compute throughput.\u003c\/p\u003e\n\n\u003cp data-end=\"974\" data-start=\"778\" style=\"text-align: justify;\"\u003eWith \u003cstrong data-end=\"807\" data-start=\"783\"\u003e24GB of GDDR5 memory\u003c\/strong\u003e, \u003cstrong data-end=\"828\" data-start=\"809\"\u003e4992 CUDA cores\u003c\/strong\u003e, and support for leading HPC frameworks, the Tesla K80 is ideal for data centers, AI research labs, and high-performance simulation environments.\u003c\/p\u003e\n\n\u003chr data-end=\"979\" data-start=\"976\"\u003e\n\u003ch3 data-end=\"1017\" data-start=\"981\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1017\" data-start=\"985\"\u003eKey Technical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003ctable data-end=\"2051\" data-start=\"1019\"\u003e\n\t\u003cthead data-end=\"1046\" data-start=\"1019\"\u003e\n\t\t\u003ctr data-end=\"1046\" data-start=\"1019\"\u003e\n\t\t\t\u003cth data-col-size=\"sm\" data-end=\"1029\" data-start=\"1019\" style=\"text-align: justify;\"\u003eFeature\u003c\/th\u003e\n\t\t\t\u003cth data-col-size=\"md\" data-end=\"1046\" data-start=\"1029\" style=\"text-align: justify;\"\u003eSpecification\u003c\/th\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/thead\u003e\n\t\u003ctbody data-end=\"2051\" data-start=\"1073\"\u003e\n\t\t\u003ctr data-end=\"1118\" data-start=\"1073\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1090\" data-start=\"1073\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1089\" data-start=\"1075\"\u003eModel Name\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1118\" data-start=\"1090\" style=\"text-align: justify;\"\u003eNvidia Tesla K80 (P2080)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1167\" data-start=\"1119\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1145\" data-start=\"1119\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1144\" data-start=\"1121\"\u003ePrimary Part Number\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1167\" data-start=\"1145\" style=\"text-align: justify;\"\u003e699-22080-0200-520\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1219\" data-start=\"1168\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1197\" data-start=\"1168\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1196\" data-start=\"1170\"\u003eAdditional Part Number\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1219\" data-start=\"1197\" style=\"text-align: justify;\"\u003e900-22080-0000-000\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1257\" data-start=\"1220\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1243\" data-start=\"1220\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1242\" data-start=\"1222\"\u003eGPU Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1257\" data-start=\"1243\" style=\"text-align: justify;\"\u003eKepler 2.0\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1293\" data-start=\"1258\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1274\" data-start=\"1258\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1273\" data-start=\"1260\"\u003eGPU Chips\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1293\" data-start=\"1274\" style=\"text-align: justify;\"\u003eDual GK210 GPUs\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1340\" data-start=\"1294\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1311\" data-start=\"1294\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1310\" data-start=\"1296\"\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1340\" data-start=\"1311\" style=\"text-align: justify;\"\u003e4992 total (2496 per GPU)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1390\" data-start=\"1341\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1359\" data-start=\"1341\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1358\" data-start=\"1343\"\u003eMemory Size\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1390\" data-start=\"1359\" style=\"text-align: justify;\"\u003e24 GB GDDR5 (12 GB per GPU)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1450\" data-start=\"1391\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1414\" data-start=\"1391\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1413\" data-start=\"1393\"\u003eMemory Interface\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1450\" data-start=\"1414\" style=\"text-align: justify;\"\u003eDual 384-bit (768-bit aggregate)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1486\" data-start=\"1451\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1474\" data-start=\"1451\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1473\" data-start=\"1453\"\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1486\" data-start=\"1474\" style=\"text-align: justify;\"\u003e480 GB\/s\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1515\" data-start=\"1487\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1504\" data-start=\"1487\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1503\" data-start=\"1489\"\u003eBase Clock\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1515\" data-start=\"1504\" style=\"text-align: justify;\"\u003e560 MHz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1551\" data-start=\"1516\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1534\" data-start=\"1516\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1533\" data-start=\"1518\"\u003eBoost Clock\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1551\" data-start=\"1534\" style=\"text-align: justify;\"\u003eUp to 875 MHz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1616\" data-start=\"1552\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1587\" data-start=\"1552\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1586\" data-start=\"1554\"\u003eSingle-Precision Performance\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1616\" data-start=\"1587\" style=\"text-align: justify;\"\u003eUp to 8.74 TFLOPS (board)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1681\" data-start=\"1617\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1652\" data-start=\"1617\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1651\" data-start=\"1619\"\u003eDouble-Precision Performance\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1681\" data-start=\"1652\" style=\"text-align: justify;\"\u003eUp to 2.91 TFLOPS (board)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1728\" data-start=\"1682\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1705\" data-start=\"1682\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1704\" data-start=\"1684\"\u003eSystem Interface\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1728\" data-start=\"1705\" style=\"text-align: justify;\"\u003ePCI Express 3.0 x16\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1766\" data-start=\"1729\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1757\" data-start=\"1729\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1756\" data-start=\"1731\"\u003eMax Power Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1766\" data-start=\"1757\" style=\"text-align: justify;\"\u003e300 W\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1808\" data-start=\"1767\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1789\" data-start=\"1767\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1788\" data-start=\"1769\"\u003ePower Connector\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1808\" data-start=\"1789\" style=\"text-align: justify;\"\u003e1 × 8-pin PCI-E\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1878\" data-start=\"1809\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1832\" data-start=\"1809\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1831\" data-start=\"1811\"\u003eCooling Solution\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1878\" data-start=\"1832\" style=\"text-align: justify;\"\u003ePassive heatsink (requires server airflow)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1955\" data-start=\"1879\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1897\" data-start=\"1879\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1896\" data-start=\"1881\"\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1955\" data-start=\"1897\" style=\"text-align: justify;\"\u003eDual-slot, full-height, full-length (4.4\" H × 10.5\" L)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"2020\" data-start=\"1956\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1974\" data-start=\"1956\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1973\" data-start=\"1958\"\u003eAPI Support\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"2020\" data-start=\"1974\" style=\"text-align: justify;\"\u003eCUDA, DirectX 12, Direct3D, Vulkan, Mantle\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"2051\" data-start=\"2021\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"2038\" data-start=\"2021\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2037\" data-start=\"2023\"\u003eECC Memory\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"2051\" data-start=\"2038\" style=\"text-align: justify;\"\u003eSupported\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003chr data-end=\"2056\" data-start=\"2053\"\u003e\n\u003ch3 data-end=\"2091\" data-start=\"2058\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2091\" data-start=\"2062\"\u003eEnterprise-Grade Features\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2777\" data-start=\"2093\"\u003e\n\t\u003cli data-end=\"2231\" data-start=\"2093\"\u003e\n\t\u003cp data-end=\"2231\" data-start=\"2095\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2121\" data-start=\"2095\"\u003eDual-GPU Architecture:\u003c\/strong\u003e Two GK210 processors deliver superior parallel throughput for HPC, deep learning, and simulation workloads.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2339\" data-start=\"2232\"\u003e\n\t\u003cp data-end=\"2339\" data-start=\"2234\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2262\" data-start=\"2234\"\u003eLarge 24GB GDDR5 Memory:\u003c\/strong\u003e Supports massive datasets, scientific models, and large batch AI training.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2340\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2342\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2361\" data-start=\"2342\"\u003eECC Protection:\u003c\/strong\u003e Ensures data integrity and reliability for mission-critical workloads.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2557\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2557\" data-start=\"2437\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2466\" data-start=\"2437\"\u003eHigh Compute Performance:\u003c\/strong\u003e Up to \u003cstrong data-end=\"2488\" data-start=\"2473\"\u003e8.74 TFLOPS\u003c\/strong\u003e single-precision and \u003cstrong data-end=\"2525\" data-start=\"2510\"\u003e2.91 TFLOPS\u003c\/strong\u003e double-precision performance.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2692\" data-start=\"2558\"\u003e\n\t\u003cp data-end=\"2692\" data-start=\"2560\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2586\" data-start=\"2560\"\u003eOptimized for Servers:\u003c\/strong\u003e Passive cooling requires chassis-level airflow, ideal for rackmount servers and GPU-compute appliances.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2777\" data-start=\"2693\"\u003e\n\t\u003cp data-end=\"2777\" data-start=\"2695\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2722\" data-start=\"2695\"\u003eScalable PCIe Solution:\u003c\/strong\u003e PCIe 3.0 x16 ensures high-bandwidth data throughput.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2782\" data-start=\"2779\"\u003e\n\u003ch3 data-end=\"2810\" data-start=\"2784\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2810\" data-start=\"2788\"\u003eIdeal Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"3109\" data-start=\"2812\"\u003e\n\t\u003cli data-end=\"2861\" data-start=\"2812\"\u003e\n\t\u003cp data-end=\"2861\" data-start=\"2814\" style=\"text-align: justify;\"\u003eScientific computing and numerical simulation\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2923\" data-start=\"2862\"\u003e\n\t\u003cp data-end=\"2923\" data-start=\"2864\" style=\"text-align: justify;\"\u003eDeep learning training (legacy and HPC-focused workflows)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2969\" data-start=\"2924\"\u003e\n\t\u003cp data-end=\"2969\" data-start=\"2926\" style=\"text-align: justify;\"\u003eHigh-performance computing (HPC) clusters\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"3015\" data-start=\"2970\"\u003e\n\t\u003cp data-end=\"3015\" data-start=\"2972\" style=\"text-align: justify;\"\u003eEngineering, modeling, and data analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"3057\" data-start=\"3016\"\u003e\n\t\u003cp data-end=\"3057\" data-start=\"3018\" style=\"text-align: justify;\"\u003eGPU-accelerated research environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"3109\" data-start=\"3058\"\u003e\n\t\u003cp data-end=\"3109\" data-start=\"3060\" style=\"text-align: justify;\"\u003eVirtualization and parallel computing workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"3114\" data-start=\"3111\"\u003e\n\u003cp data-end=\"3393\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"3116\" style=\"text-align: justify;\"\u003eBoost your compute infrastructure with the \u003cstrong data-end=\"3200\" data-start=\"3159\"\u003eNvidia Tesla K80 24GB GPU Accelerator\u003c\/strong\u003e—a proven, high-performance solution built for demanding enterprise, research, and data center applications. Perfect for organizations needing reliable, scalable GPU power at exceptional value.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":55073780826185,"sku":"699-22080-0200-520","price":94.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/0ddc0647-4668-5fc1-8699-0c6fc94ed235.png?v=1764889891"},{"product_id":"lenovo-nvidia-a2-ampere-16gb-gddr6-graphic-card-pg179-900-2g179-2720-001-03gx831","title":"Lenovo Nvidia A2 Ampere 16GB GDDR6 Graphic Card PG179 900-2G179-2720-001 03GX831","description":"\u003ch2 data-end=\"328\" data-start=\"232\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"328\" data-start=\"235\"\u003eLenovo NVIDIA A2 Ampere 16GB GDDR6 AI GPU Accelerator Graphic Card | PG179 | 03GX831 | 900-2G179-2720-001\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp data-end=\"703\" data-start=\"330\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"377\" data-start=\"334\"\u003eLenovo NVIDIA A2 Ampere GPU Accelerator\u003c\/strong\u003e is a compact, power-efficient \u003cstrong data-end=\"427\" data-start=\"408\"\u003eTensor Core GPU\u003c\/strong\u003e engineered for \u003cstrong data-end=\"517\" data-start=\"443\"\u003eAI inference, edge computing, and virtual desktop infrastructure (VDI)\u003c\/strong\u003e deployments. Built on \u003cstrong data-end=\"572\" data-start=\"540\"\u003eNVIDIA’s Ampere architecture\u003c\/strong\u003e, the A2 delivers exceptional performance-per-watt, making it ideal for dense server environments and low-power enterprise systems.\u003c\/p\u003e\n\n\u003cp data-end=\"968\" data-start=\"705\" style=\"text-align: justify;\"\u003eIdentified by Lenovo and NVIDIA part numbers \u003cstrong data-end=\"759\" data-start=\"750\"\u003ePG179\u003c\/strong\u003e, \u003cstrong data-end=\"772\" data-start=\"761\"\u003e03GX831\u003c\/strong\u003e, and \u003cstrong data-end=\"800\" data-start=\"778\"\u003e900-2G179-2720-001\u003c\/strong\u003e, this professional-grade accelerator provides \u003cstrong data-end=\"885\" data-start=\"847\"\u003e16GB of ECC-protected GDDR6 memory\u003c\/strong\u003e and advanced Tensor Core acceleration without requiring external power connectors.\u003c\/p\u003e\n\n\u003chr data-end=\"973\" data-start=\"970\"\u003e\n\u003ch3 data-end=\"1001\" data-start=\"975\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1001\" data-start=\"979\"\u003eKey Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1257\" data-start=\"1003\"\u003e\n\t\u003cli data-end=\"1042\" data-start=\"1003\"\u003e\n\t\u003cp data-end=\"1042\" data-start=\"1005\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1026\" data-start=\"1005\"\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1068\" data-start=\"1043\"\u003e\n\t\u003cp data-end=\"1068\" data-start=\"1045\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1060\" data-start=\"1045\"\u003eCUDA Cores:\u003c\/strong\u003e 1,280\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1110\" data-start=\"1069\"\u003e\n\t\u003cp data-end=\"1110\" data-start=\"1071\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1088\" data-start=\"1071\"\u003eTensor Cores:\u003c\/strong\u003e 40 (3rd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1148\" data-start=\"1111\"\u003e\n\t\u003cp data-end=\"1148\" data-start=\"1113\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1126\" data-start=\"1113\"\u003eRT Cores:\u003c\/strong\u003e 10 (2nd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1188\" data-start=\"1149\"\u003e\n\t\u003cp data-end=\"1188\" data-start=\"1151\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1166\" data-start=\"1151\"\u003eGPU Memory:\u003c\/strong\u003e 16GB GDDR6 with ECC\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1222\" data-start=\"1189\"\u003e\n\t\u003cp data-end=\"1222\" data-start=\"1191\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1212\" data-start=\"1191\"\u003eMemory Interface:\u003c\/strong\u003e 128-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1257\" data-start=\"1223\"\u003e\n\t\u003cp data-end=\"1257\" data-start=\"1225\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1246\" data-start=\"1225\"\u003eMemory Bandwidth:\u003c\/strong\u003e 200 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1262\" data-start=\"1259\"\u003e\n\u003ch3 data-end=\"1294\" data-start=\"1264\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1294\" data-start=\"1268\"\u003ePerformance Highlights\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1621\" data-start=\"1296\"\u003e\n\t\u003cli data-end=\"1343\" data-start=\"1296\"\u003e\n\t\u003cp data-end=\"1343\" data-start=\"1298\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1324\" data-start=\"1298\"\u003ePeak FP32 Performance:\u003c\/strong\u003e Up to 4.5 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1417\" data-start=\"1344\"\u003e\n\t\u003cp data-end=\"1417\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1374\" data-start=\"1346\"\u003eTF32 Tensor Performance:\u003c\/strong\u003e Up to 9 TFLOPS (18 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1492\" data-start=\"1418\"\u003e\n\t\u003cp data-end=\"1492\" data-start=\"1420\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1448\" data-start=\"1420\"\u003eFP16 Tensor Performance:\u003c\/strong\u003e Up to 18 TFLOPS (36 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1556\" data-start=\"1493\"\u003e\n\t\u003cp data-end=\"1556\" data-start=\"1495\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1516\" data-start=\"1495\"\u003eINT8 Performance:\u003c\/strong\u003e Up to 36 TOPS (72 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1621\" data-start=\"1557\"\u003e\n\t\u003cp data-end=\"1621\" data-start=\"1559\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1580\" data-start=\"1559\"\u003eINT4 Performance:\u003c\/strong\u003e Up to 72 TOPS (144 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1626\" data-start=\"1623\"\u003e\n\u003ch3 data-end=\"1660\" data-start=\"1628\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1660\" data-start=\"1632\"\u003ePhysical \u0026amp; Power Details\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2030\" data-start=\"1662\"\u003e\n\t\u003cli data-end=\"1744\" data-start=\"1662\"\u003e\n\t\u003cp data-end=\"1744\" data-start=\"1664\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1680\" data-start=\"1664\"\u003eForm Factor:\u003c\/strong\u003e Single-slot, low-profile PCIe (full-height bracket supported)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1775\" data-start=\"1745\"\u003e\n\t\u003cp data-end=\"1775\" data-start=\"1747\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1761\" data-start=\"1747\"\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x8\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1815\" data-start=\"1776\"\u003e\n\t\u003cp data-end=\"1815\" data-start=\"1778\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1805\" data-start=\"1778\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e 32 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1875\" data-start=\"1816\"\u003e\n\t\u003cp data-end=\"1875\" data-start=\"1818\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1830\" data-start=\"1818\"\u003eCooling:\u003c\/strong\u003e Passive heatsink (requires server airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1927\" data-start=\"1876\"\u003e\n\t\u003cp data-end=\"1927\" data-start=\"1878\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1900\" data-start=\"1878\"\u003ePower Consumption:\u003c\/strong\u003e Configurable 40W–60W TDP\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1981\" data-start=\"1928\"\u003e\n\t\u003cp data-end=\"1981\" data-start=\"1930\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1950\" data-start=\"1930\"\u003ePower Connector:\u003c\/strong\u003e None required (slot-powered)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2030\" data-start=\"1982\"\u003e\n\t\u003cp data-end=\"2030\" data-start=\"1984\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2004\" data-start=\"1984\"\u003eDisplay Outputs:\u003c\/strong\u003e None (compute-only GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2035\" data-start=\"2032\"\u003e\n\u003ch3 data-end=\"2075\" data-start=\"2037\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2075\" data-start=\"2041\"\u003eEnterprise Features \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2365\" data-start=\"2077\"\u003e\n\t\u003cli data-end=\"2130\" data-start=\"2077\"\u003e\n\t\u003cp data-end=\"2130\" data-start=\"2079\" style=\"text-align: justify;\"\u003eOptimized for \u003cstrong data-end=\"2128\" data-start=\"2093\"\u003eAI inference and edge workloads\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2191\" data-start=\"2131\"\u003e\n\t\u003cp data-end=\"2191\" data-start=\"2133\" style=\"text-align: justify;\"\u003eExcellent \u003cstrong data-end=\"2167\" data-start=\"2143\"\u003eperformance per watt\u003c\/strong\u003e for dense deployments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2237\" data-start=\"2192\"\u003e\n\t\u003cp data-end=\"2237\" data-start=\"2194\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2216\" data-start=\"2194\"\u003eECC memory support\u003c\/strong\u003e for data integrity\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2308\" data-start=\"2238\"\u003e\n\t\u003cp data-end=\"2308\" data-start=\"2240\" style=\"text-align: justify;\"\u003eIdeal for \u003cstrong data-end=\"2306\" data-start=\"2250\"\u003eVDI, machine learning, analytics, and cloud services\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2365\" data-start=\"2309\"\u003e\n\t\u003cp data-end=\"2365\" data-start=\"2311\" style=\"text-align: justify;\"\u003eCertified for \u003cstrong data-end=\"2363\" data-start=\"2325\"\u003eLenovo enterprise server platforms\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2370\" data-start=\"2367\"\u003e\n\u003ch3 data-end=\"2395\" data-start=\"2372\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2395\" data-start=\"2376\"\u003eIdeal Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2612\" data-start=\"2397\"\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2397\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2399\" style=\"text-align: justify;\"\u003eAI and machine learning inference\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2475\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2475\" data-start=\"2437\" style=\"text-align: justify;\"\u003eVirtual desktop infrastructure (VDI)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2512\" data-start=\"2476\"\u003e\n\t\u003cp data-end=\"2512\" data-start=\"2478\" style=\"text-align: justify;\"\u003eEdge computing and IoT analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2570\" data-start=\"2513\"\u003e\n\t\u003cp data-end=\"2570\" data-start=\"2515\" style=\"text-align: justify;\"\u003eEnterprise virtualization and containerized workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2612\" data-start=\"2571\"\u003e\n\t\u003cp data-end=\"2612\" data-start=\"2573\" style=\"text-align: justify;\"\u003ePower-constrained server environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2617\" data-start=\"2614\"\u003e\n\u003cp data-end=\"2897\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2619\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"2698\" data-start=\"2623\"\u003eLenovo NVIDIA A2 Ampere 16GB GPU (PG179 \/ 03GX831 \/ 900-2G179-2720-001)\u003c\/strong\u003e delivers \u003cstrong data-end=\"2782\" data-start=\"2708\"\u003eenterprise-class AI acceleration in a compact, energy-efficient design\u003c\/strong\u003e, making it a smart choice for organizations seeking scalable AI performance without high power or cooling demands.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":55354341228617,"sku":"03GX831","price":426.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/391dd2af-2bdd-5a48-ac85-61ebb1b60da6.png?v=1789924950"},{"product_id":"nvidia-geforce-gtx-1070-8gb-gddr5-pascal-graphics-card-gpu-699-1g411-0000-100","title":"Nvidia GeForce GTX 1070 8GB GDDR5 \"Pascal\" Graphics Card GPU 699-1G411-0000-100","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55446674178121,"sku":"699-1G411-0000-100","price":94.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/4bd5805c-7835-561c-9159-556674ea3c4b.png?v=1769029739"},{"product_id":"nvidia-titan-x-pascal-12gb-gddr5x-graphics-card-gpu-900-1g611-2500-000","title":"NVIDIA Titan X (Pascal) 12GB GDDR5X Graphics Card GPU 900-1G611-2500-000","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55449951895625,"sku":"900-1G611-2500-000","price":170.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/14211859-5a60-562a-8dc3-ffa45aa80c2a.png?v=1769185931"},{"product_id":"nvidia-geforce-gtx-680-2gb-gddr5-pci-express-3-0-gpu-699-12002-0000-301","title":"NVIDIA GeForce GTX 680 2GB GDDR5 PCI Express 3.0 GPU 699-12002-0000-301","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55450068451401,"sku":"699-12002-0000-301","price":70.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/9c4a4406-86a0-5745-8784-97ec9eaca038.png?v=1769189978"},{"product_id":"pny-nvidia-geforce-gtx-1080-8gb-gddr5x-graphics-card-gpu-gmx1080n3i8gs-ktmaafa","title":"PNY NVIDIA GeForce GTX 1080 8GB GDDR5X Graphics Card GPU GMX1080N3I8GS-KTMAAFA","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55450270007369,"sku":"GMX1080N3I8GS-KTMAAFA","price":136.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/a4880df8-8324-5a78-a826-51afe982c64b.png?v=1769206288"},{"product_id":"nvidia-a2-ampere-16gb-gddr6-ai-accelerator-data-center-server-gpu-card-pg179-900-2g179-2720-001","title":"NVIDIA A2 Ampere 16GB GDDR6 AI Accelerator Data Center Server GPU Card PG179 900-2G179-2720-001","description":"\u003ch2 data-end=\"328\" data-start=\"232\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"328\" data-start=\"235\"\u003eNVIDIA A2 Ampere 16GB GDDR6 AI GPU Accelerator Graphic Card | PG179 | 900-2G179-2720-001\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp data-end=\"703\" data-start=\"330\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"377\" data-start=\"334\"\u003eNVIDIA A2 Ampere GPU Accelerator\u003c\/strong\u003e is a compact, power-efficient \u003cstrong data-end=\"427\" data-start=\"408\"\u003eTensor Core GPU\u003c\/strong\u003e engineered for \u003cstrong data-end=\"517\" data-start=\"443\"\u003eAI inference, edge computing, and virtual desktop infrastructure (VDI)\u003c\/strong\u003e deployments. Built on \u003cstrong data-end=\"572\" data-start=\"540\"\u003eNVIDIA’s Ampere architecture\u003c\/strong\u003e, the A2 delivers exceptional performance-per-watt, making it ideal for dense server environments and low-power enterprise systems.\u003c\/p\u003e\n\n\u003cp data-end=\"968\" data-start=\"705\" style=\"text-align: justify;\"\u003eIdentified by NVIDIA part numbers \u003cstrong data-end=\"759\" data-start=\"750\"\u003ePG179\u003c\/strong\u003e, and \u003cstrong data-end=\"800\" data-start=\"778\"\u003e900-2G179-2720-001\u003c\/strong\u003e, this professional-grade accelerator provides \u003cstrong data-end=\"885\" data-start=\"847\"\u003e16GB of ECC-protected GDDR6 memory\u003c\/strong\u003e and advanced Tensor Core acceleration without requiring external power connectors.\u003c\/p\u003e\n\n\u003chr data-end=\"973\" data-start=\"970\"\u003e\n\u003ch3 data-end=\"1001\" data-start=\"975\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1001\" data-start=\"979\"\u003eKey Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1257\" data-start=\"1003\"\u003e\n\t\u003cli data-end=\"1042\" data-start=\"1003\"\u003e\n\t\u003cp data-end=\"1042\" data-start=\"1005\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1026\" data-start=\"1005\"\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1068\" data-start=\"1043\"\u003e\n\t\u003cp data-end=\"1068\" data-start=\"1045\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1060\" data-start=\"1045\"\u003eCUDA Cores:\u003c\/strong\u003e 1,280\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1110\" data-start=\"1069\"\u003e\n\t\u003cp data-end=\"1110\" data-start=\"1071\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1088\" data-start=\"1071\"\u003eTensor Cores:\u003c\/strong\u003e 40 (3rd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1148\" data-start=\"1111\"\u003e\n\t\u003cp data-end=\"1148\" data-start=\"1113\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1126\" data-start=\"1113\"\u003eRT Cores:\u003c\/strong\u003e 10 (2nd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1188\" data-start=\"1149\"\u003e\n\t\u003cp data-end=\"1188\" data-start=\"1151\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1166\" data-start=\"1151\"\u003eGPU Memory:\u003c\/strong\u003e 16GB GDDR6 with ECC\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1222\" data-start=\"1189\"\u003e\n\t\u003cp data-end=\"1222\" data-start=\"1191\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1212\" data-start=\"1191\"\u003eMemory Interface:\u003c\/strong\u003e 128-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1257\" data-start=\"1223\"\u003e\n\t\u003cp data-end=\"1257\" data-start=\"1225\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1246\" data-start=\"1225\"\u003eMemory Bandwidth:\u003c\/strong\u003e 200 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1262\" data-start=\"1259\"\u003e\n\u003ch3 data-end=\"1294\" data-start=\"1264\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1294\" data-start=\"1268\"\u003ePerformance Highlights\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1621\" data-start=\"1296\"\u003e\n\t\u003cli data-end=\"1343\" data-start=\"1296\"\u003e\n\t\u003cp data-end=\"1343\" data-start=\"1298\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1324\" data-start=\"1298\"\u003ePeak FP32 Performance:\u003c\/strong\u003e Up to 4.5 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1417\" data-start=\"1344\"\u003e\n\t\u003cp data-end=\"1417\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1374\" data-start=\"1346\"\u003eTF32 Tensor Performance:\u003c\/strong\u003e Up to 9 TFLOPS (18 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1492\" data-start=\"1418\"\u003e\n\t\u003cp data-end=\"1492\" data-start=\"1420\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1448\" data-start=\"1420\"\u003eFP16 Tensor Performance:\u003c\/strong\u003e Up to 18 TFLOPS (36 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1556\" data-start=\"1493\"\u003e\n\t\u003cp data-end=\"1556\" data-start=\"1495\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1516\" data-start=\"1495\"\u003eINT8 Performance:\u003c\/strong\u003e Up to 36 TOPS (72 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1621\" data-start=\"1557\"\u003e\n\t\u003cp data-end=\"1621\" data-start=\"1559\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1580\" data-start=\"1559\"\u003eINT4 Performance:\u003c\/strong\u003e Up to 72 TOPS (144 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1626\" data-start=\"1623\"\u003e\n\u003ch3 data-end=\"1660\" data-start=\"1628\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1660\" data-start=\"1632\"\u003ePhysical \u0026amp; Power Details\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2030\" data-start=\"1662\"\u003e\n\t\u003cli data-end=\"1744\" data-start=\"1662\"\u003e\n\t\u003cp data-end=\"1744\" data-start=\"1664\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1680\" data-start=\"1664\"\u003eForm Factor:\u003c\/strong\u003e Single-slot, low-profile PCIe (full-height bracket supported)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1775\" data-start=\"1745\"\u003e\n\t\u003cp data-end=\"1775\" data-start=\"1747\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1761\" data-start=\"1747\"\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x8\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1815\" data-start=\"1776\"\u003e\n\t\u003cp data-end=\"1815\" data-start=\"1778\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1805\" data-start=\"1778\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e 32 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1875\" data-start=\"1816\"\u003e\n\t\u003cp data-end=\"1875\" data-start=\"1818\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1830\" data-start=\"1818\"\u003eCooling:\u003c\/strong\u003e Passive heatsink (requires server airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1927\" data-start=\"1876\"\u003e\n\t\u003cp data-end=\"1927\" data-start=\"1878\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1900\" data-start=\"1878\"\u003ePower Consumption:\u003c\/strong\u003e Configurable 40W–60W TDP\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1981\" data-start=\"1928\"\u003e\n\t\u003cp data-end=\"1981\" data-start=\"1930\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1950\" data-start=\"1930\"\u003ePower Connector:\u003c\/strong\u003e None required (slot-powered)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2030\" data-start=\"1982\"\u003e\n\t\u003cp data-end=\"2030\" data-start=\"1984\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2004\" data-start=\"1984\"\u003eDisplay Outputs:\u003c\/strong\u003e None (compute-only GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2035\" data-start=\"2032\"\u003e\n\u003ch3 data-end=\"2075\" data-start=\"2037\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2075\" data-start=\"2041\"\u003eEnterprise Features \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2365\" data-start=\"2077\"\u003e\n\t\u003cli data-end=\"2130\" data-start=\"2077\"\u003e\n\t\u003cp data-end=\"2130\" data-start=\"2079\" style=\"text-align: justify;\"\u003eOptimized for \u003cstrong data-end=\"2128\" data-start=\"2093\"\u003eAI inference and edge workloads\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2191\" data-start=\"2131\"\u003e\n\t\u003cp data-end=\"2191\" data-start=\"2133\" style=\"text-align: justify;\"\u003eExcellent \u003cstrong data-end=\"2167\" data-start=\"2143\"\u003eperformance per watt\u003c\/strong\u003e for dense deployments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2237\" data-start=\"2192\"\u003e\n\t\u003cp data-end=\"2237\" data-start=\"2194\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2216\" data-start=\"2194\"\u003eECC memory support\u003c\/strong\u003e for data integrity\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2308\" data-start=\"2238\"\u003e\n\t\u003cp data-end=\"2308\" data-start=\"2240\" style=\"text-align: justify;\"\u003eIdeal for \u003cstrong data-end=\"2306\" data-start=\"2250\"\u003eVDI, machine learning, analytics, and cloud services\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2365\" data-start=\"2309\"\u003e\n\t\u003cp data-end=\"2365\" data-start=\"2311\" style=\"text-align: justify;\"\u003eCertified for \u003cstrong data-end=\"2363\" data-start=\"2325\"\u003eLenovo enterprise server platforms\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2370\" data-start=\"2367\"\u003e\n\u003ch3 data-end=\"2395\" data-start=\"2372\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2395\" data-start=\"2376\"\u003eIdeal Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2612\" data-start=\"2397\"\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2397\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2399\" style=\"text-align: justify;\"\u003eAI and machine learning inference\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2475\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2475\" data-start=\"2437\" style=\"text-align: justify;\"\u003eVirtual desktop infrastructure (VDI)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2512\" data-start=\"2476\"\u003e\n\t\u003cp data-end=\"2512\" data-start=\"2478\" style=\"text-align: justify;\"\u003eEdge computing and IoT analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2570\" data-start=\"2513\"\u003e\n\t\u003cp data-end=\"2570\" data-start=\"2515\" style=\"text-align: justify;\"\u003eEnterprise virtualization and containerized workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2612\" data-start=\"2571\"\u003e\n\t\u003cp data-end=\"2612\" data-start=\"2573\" style=\"text-align: justify;\"\u003ePower-constrained server environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2617\" data-start=\"2614\"\u003e\n\u003cp data-end=\"2897\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2619\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"2698\" data-start=\"2623\"\u003eNVIDIA A2 Ampere 16GB GPU (PG179 \/ 03GX831 \/ 900-2G179-2720-001)\u003c\/strong\u003e delivers \u003cstrong data-end=\"2782\" data-start=\"2708\"\u003eenterprise-class AI acceleration in a compact, energy-efficient design\u003c\/strong\u003e, making it a smart choice for organizations seeking scalable AI performance without high power or cooling demands.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":55469074546761,"sku":"03GX831-NVIDIA","price":426.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/391dd2af-2bdd-5a48-ac85-61ebb1b60da6_86dcb049-4f55-4e1f-9151-ecc71cbc9bec.png?v=1770051010"},{"product_id":"evga-geforce-gtx-1080-sc-gaming-acx-8gb-gddr5x-pci-e-3-0-gpu-8g-p4-6183-kr","title":"EVGA GeForce GTX 1080 SC GAMING ACX 8GB GDDR5X PCI-E 3.0 GPU 8G-P4-6183-KR","description":"","brand":"EVGA","offers":[{"title":"Default Title","offer_id":55469829849161,"sku":"8G-P4-6183-KR","price":189.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/b64bcbe6-2693-5b2c-94ed-45e2da83c4e1.png?v=1770057803"},{"product_id":"nvidia-evga-geforce-gtx-650-1gb-graphics-card-01g-p4-2650-kr","title":"NVIDIA EVGA GeForce GTX 650 1GB Graphics Card 01G-P4-2650-KR","description":"","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":55477182431305,"sku":"01G-P4-2650-KR","price":46.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/f1410d15-31b8-5fa1-8646-b590144897e5.png?v=1770229826"},{"product_id":"nvidia-tesla-v100-volta-32gb-hbm2-pcie-3-0-x16-passive-gpu-699-2g500-0202-460","title":"Nvidia Tesla V100 Volta 32GB HBM2 PCIe 3.0 x16 Passive GPU 699-2G500-0202-460","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55573050490953,"sku":"699-2G500-0202-460","price":949.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/f3879caa-3217-5540-8927-af6c56b72aa5.png?v=1774042773"},{"product_id":"nvidia-l40s-48gb-gddr6-pcie-x16-fhfl-accelerator-gpu-hpe-p68953-b21-p67869-001","title":"NVIDIA L40S 48GB GDDR6 PCIe x16 FHFL Accelerator GPU HPE P68953-B21 P67869-001","description":"\u003cp data-end=\"82\" data-start=\"0\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"82\" data-start=\"0\"\u003eNVIDIA L40S 48GB GDDR6 PCIe x16 FHFL Accelerator GPU HPE P68953-B21 P67869-001\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"423\" data-start=\"84\" style=\"text-align: justify;\"\u003eThe NVIDIA L40S 48GB PCIe Accelerator (HPE Spare Part: P67869-001) is a high-performance data center GPU built on the NVIDIA Ada Lovelace architecture. It is designed for demanding workloads such as generative AI, Large Language Model (LLM) inference, high-performance computing, and advanced graphics rendering in enterprise environments.\u003c\/p\u003e\n\n\u003chr data-end=\"428\" data-start=\"425\"\u003e\n\u003ch3 data-end=\"465\" data-section-id=\"yk79hc\" data-start=\"430\" style=\"text-align: justify;\"\u003eCore Technical Specifications\u003c\/h3\u003e\n\n\u003cp data-end=\"774\" data-start=\"466\" style=\"text-align: justify;\"\u003eGPU Model: NVIDIA L40S\u003cbr data-end=\"491\" data-start=\"488\"\u003e\nArchitecture: Ada Lovelace\u003cbr data-end=\"520\" data-start=\"517\"\u003e\nMemory: 48GB GDDR6\u003cbr data-end=\"541\" data-start=\"538\"\u003e\nMemory Bandwidth: 864 GB\/s\u003cbr data-end=\"570\" data-start=\"567\"\u003e\nInterface: PCIe Gen4 x16 (forward compatible with newer platforms)\u003cbr data-end=\"639\" data-start=\"636\"\u003e\nForm Factor: Full-Height, Full-Length (FHFL), dual-slot\u003cbr data-end=\"697\" data-start=\"694\"\u003e\nCooling: Passive (requires server-grade airflow)\u003cbr data-end=\"748\" data-start=\"745\"\u003e\nPower Consumption: ~350W\u003c\/p\u003e\n\n\u003chr data-end=\"779\" data-start=\"776\"\u003e\n\u003ch3 data-end=\"815\" data-section-id=\"yizl7r\" data-start=\"781\" style=\"text-align: justify;\"\u003eSpecialized Compute Features\u003c\/h3\u003e\n\n\u003cp data-end=\"921\" data-start=\"817\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"851\" data-start=\"817\"\u003eTensor Cores (4th Generation):\u003c\/strong\u003e\u003cbr data-end=\"854\" data-start=\"851\"\u003e\nOptimized for AI training, inference, and deep learning workloads\u003c\/p\u003e\n\n\u003cp data-end=\"1014\" data-start=\"923\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"953\" data-start=\"923\"\u003eRT Cores (3rd Generation):\u003c\/strong\u003e\u003cbr data-end=\"956\" data-start=\"953\"\u003e\nAccelerates real-time ray tracing and advanced rendering\u003c\/p\u003e\n\n\u003cp data-end=\"1113\" data-start=\"1016\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1042\" data-start=\"1016\"\u003eAI \u0026amp; LLM Optimization:\u003c\/strong\u003e\u003cbr data-end=\"1045\" data-start=\"1042\"\u003e\nBuilt for generative AI, large-scale inference, and data analytics\u003c\/p\u003e\n\n\u003chr data-end=\"1118\" data-start=\"1115\"\u003e\n\u003ch3 data-end=\"1138\" data-section-id=\"1sboupi\" data-start=\"1120\" style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cp data-end=\"1247\" data-start=\"1140\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1177\" data-start=\"1140\"\u003eHigh-Performance AI Acceleration:\u003c\/strong\u003e\u003cbr data-end=\"1180\" data-start=\"1177\"\u003e\nIdeal for AI model inference, machine learning, and HPC workloads\u003c\/p\u003e\n\n\u003cp data-end=\"1344\" data-start=\"1249\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1284\" data-start=\"1249\"\u003eEnterprise Graphics Capability:\u003c\/strong\u003e\u003cbr data-end=\"1287\" data-start=\"1284\"\u003e\nSupports rendering, simulation, and visualization tasks\u003c\/p\u003e\n\n\u003cp data-end=\"1446\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1382\" data-start=\"1346\"\u003eScalable Data Center Deployment:\u003c\/strong\u003e\u003cbr data-end=\"1385\" data-start=\"1382\"\u003e\nDesigned for multi-GPU configurations in enterprise servers\u003c\/p\u003e\n\n\u003chr data-end=\"1451\" data-start=\"1448\"\u003e\n\u003ch3 data-end=\"1472\" data-section-id=\"rkevhk\" data-start=\"1453\" style=\"text-align: justify;\"\u003eCompatibility\u003c\/h3\u003e\n\n\u003cp data-end=\"1566\" data-start=\"1474\" style=\"text-align: justify;\"\u003eThis GPU is validated for high-performance server platforms with adequate power and cooling:\u003c\/p\u003e\n\n\u003chr data-end=\"1571\" data-start=\"1568\"\u003e\n\u003ch4 data-end=\"1606\" data-start=\"1573\" style=\"text-align: justify;\"\u003eSupported Server Platforms\u003c\/h4\u003e\n\n\u003cp data-end=\"1658\" data-start=\"1608\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1626\" data-start=\"1608\"\u003eGen12 Systems:\u003c\/strong\u003e\u003cbr data-end=\"1629\" data-start=\"1626\"\u003e\nDL320, DL340, DL380, DL380a\u003c\/p\u003e\n\n\u003cp data-end=\"1724\" data-start=\"1660\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1678\" data-start=\"1660\"\u003eGen11 Systems:\u003c\/strong\u003e\u003cbr data-end=\"1681\" data-start=\"1678\"\u003e\nDL320, DL380, DL380a, DL385, DL145, ML350\u003c\/p\u003e\n\n\u003chr data-end=\"1729\" data-start=\"1726\"\u003e\n\u003ch4 data-end=\"1765\" data-start=\"1731\" style=\"text-align: justify;\"\u003eSpecialized \u0026amp; HPC Platforms\u003c\/h4\u003e\n\n\u003cp data-end=\"1910\" data-start=\"1767\" style=\"text-align: justify;\"\u003eEdge Servers: e920d Gen10 Plus, e930t Gen11\u003cbr data-end=\"1813\" data-start=\"1810\"\u003e\nScale-Up Systems: Scale-up Server 3200\u003cbr data-end=\"1854\" data-start=\"1851\"\u003e\nHPC Platforms: Cray XD295v, ProLiant XL675d Gen10 Plus\u003c\/p\u003e\n\n\u003chr data-end=\"1915\" data-start=\"1912\"\u003e\n\u003ch3 data-end=\"1953\" data-section-id=\"19pu4f3\" data-start=\"1917\" style=\"text-align: justify;\"\u003eCritical Hardware Requirements\u003c\/h3\u003e\n\n\u003cp data-end=\"2050\" data-start=\"1955\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1967\" data-start=\"1955\"\u003eCooling:\u003c\/strong\u003e\u003cbr data-end=\"1970\" data-start=\"1967\"\u003e\nRequires high-performance fan configurations; standard cooling is insufficient\u003c\/p\u003e\n\n\u003cp data-end=\"2140\" data-start=\"2052\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2062\" data-start=\"2052\"\u003ePower:\u003c\/strong\u003e\u003cbr data-end=\"2065\" data-start=\"2062\"\u003e\nRecommended 800W–1000W overhead per GPU; 2000W+ PSUs for multi-GPU setups\u003c\/p\u003e\n\n\u003cp data-end=\"2254\" data-start=\"2142\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2169\" data-start=\"2142\"\u003eExpansion Requirements:\u003c\/strong\u003e\u003cbr data-end=\"2172\" data-start=\"2169\"\u003e\nRequires PCIe x16 riser kits and auxiliary GPU power cables for proper operation\u003c\/p\u003e\n\n\u003chr data-end=\"2259\" data-start=\"2256\"\u003e\n\u003ch3 data-end=\"2291\" data-section-id=\"1ay9nip\" data-start=\"2261\" style=\"text-align: justify;\"\u003eOperating System Support\u003c\/h3\u003e\n\n\u003cp data-end=\"2446\" data-start=\"2293\" style=\"text-align: justify;\"\u003eWindows: Windows Server 2019, 2022, 2025\u003cbr data-end=\"2336\" data-start=\"2333\"\u003e\nLinux: RHEL, SUSE, Ubuntu, Oracle Linux\u003cbr data-end=\"2378\" data-start=\"2375\"\u003e\nVirtualization: VMware ESXi 7.x \/ 8.x (GPU pass-through supported)\u003c\/p\u003e\n\n\u003chr data-end=\"2451\" data-start=\"2448\"\u003e\n\u003ch3 data-end=\"2479\" data-section-id=\"7wg9vy\" data-start=\"2453\" style=\"text-align: justify;\"\u003eRelated Part Numbers\u003c\/h3\u003e\n\n\u003cp data-end=\"2524\" data-start=\"2481\" style=\"text-align: justify;\"\u003eP68953-B21\u003cbr data-end=\"2494\" data-start=\"2491\"\u003e\nP67869-001\u003cbr data-end=\"2507\" data-start=\"2504\"\u003e\nS2L70A\u003cbr data-end=\"2516\" data-start=\"2513\"\u003e\nS2L70C\u003c\/p\u003e\n\n\u003chr data-end=\"2529\" data-start=\"2526\"\u003e\n\u003cp data-end=\"2769\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2531\" style=\"text-align: justify;\"\u003eThe NVIDIA L40S 48GB GPU delivers cutting-edge AI acceleration, exceptional memory capacity, and enterprise-grade reliability, making it an ideal solution for modern data centers, AI workloads, and high-performance computing environments.\u003c\/p\u003e\n","brand":"HPE","offers":[{"title":"Default Title","offer_id":55630221869129,"sku":"P67869-001","price":7504.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/52fe5fb1-7ddd-56e0-9de8-31d302588643.png?v=1776194306"},{"product_id":"nvidia-tesla-k80-gpu-24gb-gddr5-pcie-3-0-x16-gpu-accelerator-card-699-22080-0200-530","title":"NVIDIA Tesla K80 24GB GDDR5 Kepler Dual-GPU Data Center GPU Accelerator Card 699-22080-0200-530","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003e\n\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/h2\u003e\n\n\u003ch2\u003eNVIDIA Tesla K80 24GB GDDR5 Kepler Dual-GPU Data Center GPU Accelerator Card 699-22080-0200-530\u003c\/h2\u003e\n\n\u003cp\u003eAccelerate high-performance computing workloads with the \u003cstrong\u003eNVIDIA Tesla K80\u003c\/strong\u003e, a powerful enterprise-class GPU accelerator designed specifically for data center, scientific computing, deep learning, and parallel processing environments. Featuring a \u003cstrong\u003edual-GPU architecture\u003c\/strong\u003e based on NVIDIA's proven \u003cstrong\u003eKepler\u003c\/strong\u003e platform, the Tesla K80 delivers exceptional compute performance for organizations requiring reliable GPU acceleration in server deployments.\u003c\/p\u003e\n\n\u003cp\u003eThe Tesla K80 integrates \u003cstrong\u003etwo NVIDIA GK210 GPUs\u003c\/strong\u003e on a single PCIe card, providing a total of \u003cstrong\u003e4,992 CUDA cores\u003c\/strong\u003e and \u003cstrong\u003e24GB of GDDR5 memory\u003c\/strong\u003e. Designed for rack-mounted servers and HPC clusters, this accelerator supports demanding workloads including data analytics, computational modeling, machine learning, rendering, simulation, and GPU-accelerated applications.\u003c\/p\u003e\n\n\u003cp\u003eBuilt with enterprise reliability in mind, the K80 features ECC memory support, passive cooling for data center installations, and powerful double-precision performance that makes it a popular choice for research institutions, engineering firms, and enterprise computing environments.\u003c\/p\u003e\n\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003eNVIDIA Tesla K80 Data Center GPU Accelerator\u003c\/li\u003e\n\t\u003cli\u003eNVIDIA Kepler Architecture\u003c\/li\u003e\n\t\u003cli\u003eDual-GPU Design (2 × GK210 GPUs)\u003c\/li\u003e\n\t\u003cli\u003e24GB GDDR5 Memory Total (12GB per GPU)\u003c\/li\u003e\n\t\u003cli\u003e4,992 CUDA Cores Total\u003c\/li\u003e\n\t\u003cli\u003ePCI Express 3.0 x16 Interface\u003c\/li\u003e\n\t\u003cli\u003eECC Memory Support\u003c\/li\u003e\n\t\u003cli\u003ePassive Data Center Cooling Design\u003c\/li\u003e\n\t\u003cli\u003eUp to 8.74 TFLOPS FP32 Performance\u003c\/li\u003e\n\t\u003cli\u003eUp to 2.91 TFLOPS FP64 Performance\u003c\/li\u003e\n\t\u003cli\u003eDesigned for HPC, AI, Scientific Computing, and Data Analytics\u003c\/li\u003e\n\t\u003cli\u003eNVIDIA Part Number: \u003cstrong\u003e699-22080-0200-530\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eManufacturer:\u003c\/strong\u003e NVIDIA\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e Tesla K80\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003ePart Number:\u003c\/strong\u003e 699-22080-0200-530\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e Kepler 2.0\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eGPUs:\u003c\/strong\u003e 2 × GK210\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 4,992 Total (2,496 per GPU)\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eMemory Capacity:\u003c\/strong\u003e 24GB GDDR5\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eMemory Configuration:\u003c\/strong\u003e 12GB per GPU\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eMemory Bus Width:\u003c\/strong\u003e 768-bit Aggregate\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 480 GB\/s\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eBase Clock:\u003c\/strong\u003e 560 MHz\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eBoost Clock:\u003c\/strong\u003e Up to 875 MHz\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eInterface:\u003c\/strong\u003e PCI Express 3.0 x16\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Full-Height, Full-Length, Dual-Slot\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eCooling Type:\u003c\/strong\u003e Passive Heatsink\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eMaximum Power Consumption:\u003c\/strong\u003e 300W\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003ePower Connector:\u003c\/strong\u003e 8-Pin EPS Server Power Connector\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cstrong\u003eDisplay Outputs:\u003c\/strong\u003e None (Headless Accelerator)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003eHigh-Performance Computing (HPC)\u003c\/li\u003e\n\t\u003cli\u003eScientific Research \u0026amp; Simulations\u003c\/li\u003e\n\t\u003cli\u003eMachine Learning \u0026amp; AI Inference\u003c\/li\u003e\n\t\u003cli\u003eDeep Learning Development\u003c\/li\u003e\n\t\u003cli\u003eBig Data Analytics\u003c\/li\u003e\n\t\u003cli\u003eFinancial Modeling\u003c\/li\u003e\n\t\u003cli\u003eEngineering \u0026amp; Computational Design\u003c\/li\u003e\n\t\u003cli\u003eGPU-Accelerated Databases\u003c\/li\u003e\n\t\u003cli\u003eCUDA Development Environments\u003c\/li\u003e\n\t\u003cli\u003eResearch Clusters \u0026amp; Data Centers\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eImportant Compatibility Information\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003eDesigned exclusively for \u003cstrong\u003eenterprise server and data center environments\u003c\/strong\u003e\n\u003c\/li\u003e\n\t\u003cli\u003eRequires \u003cstrong\u003ehigh-airflow server chassis\u003c\/strong\u003e for proper cooling\u003c\/li\u003e\n\t\u003cli\u003eUses a \u003cstrong\u003epassive cooling heatsink\u003c\/strong\u003e and does not contain onboard fans\u003c\/li\u003e\n\t\u003cli\u003eRequires an \u003cstrong\u003e8-pin EPS (CPU-style) power connection\u003c\/strong\u003e\n\u003c\/li\u003e\n\t\u003cli\u003eDoes \u003cstrong\u003enot\u003c\/strong\u003e support NVIDIA GRID vGPU\/VDI profiles\u003c\/li\u003e\n\t\u003cli\u003eNo video output ports; intended for compute acceleration workloads\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eCompatible Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e699-22080-0200-530\u003c\/li\u003e\n\t\u003cli\u003e699-22080-0200-502\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\t\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\t\u003c\/style\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e900-22080-000-000\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cblockquote\u003e\n\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e The NVIDIA Tesla K80 is a dedicated data center GPU accelerator and is not intended for standard desktop PC installations. Proper server airflow, power delivery, and PCIe x16 infrastructure are required for reliable operation. Its dual-GPU design delivers enterprise-grade compute performance for HPC, AI, research, analytics, and other GPU-accelerated workloads.\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55725186547785,"sku":"699-22080-0200-530","price":75.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/38c8eba9-fe8e-5cb3-9d8a-e571b342f707.png?v=1780932283"},{"product_id":"dell-nvidia-tesla-v100-32gb-hmb2-pcie-x16-gpu-accelerator-server-0hr5wd-hr5wd","title":"Dell NVidia Tesla V100 32GB HMB2 PCIe x16 GPU Accelerator Server 0HR5WD HR5WD","description":"\u003cp style=\"text-align: justify;\"\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eDell NVIDIA Tesla V100 32GB HBM2 PCIe GPU Accelerator (0HR5WD \/ HR5WD)\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003ePower your data center with the Dell NVIDIA Tesla V100 32GB GPU Accelerator, designed for extreme performance in AI, deep learning, and high-performance computing (HPC) environments. Built on NVIDIA’s advanced Volta architecture, this enterprise-grade GPU delivers exceptional compute power and memory bandwidth for demanding workloads.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003eKey Specifications\u003c\/h3\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eArchitecture \u0026amp; Processing\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Architecture: NVIDIA Volta\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Model: GV100 (12nm FinFET)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 5,120\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor Cores: 640\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBase Clock: 1230 MHz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBoost Clock: 1380 MHz\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003eMemory\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCapacity: 32GB HBM2\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Interface: 4096-bit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Bandwidth: Up to 900 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Support: Yes (enabled by default)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003ePerformance\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor Performance: Up to 112 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP32 Performance: 14 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP64 Performance: 7 TFLOPS\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003eSystem Interface\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBus Type: PCIe 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBandwidth: 32 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Full-Height, Full-Length (FHFL), Dual Slot\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling: Passive (requires server airflow)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDisplay Outputs: None (compute-only GPU)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003ePower \u0026amp; Thermal\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMax Power Consumption: 250W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Connectors: 2x 8-pin\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRecommended PSU: 600W or higher\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003eCompatibility \u0026amp; Applications\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eDesigned for Dell PowerEdge servers, this GPU is ideal for:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI) and deep learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine learning training and inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific computing and HPC\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData analytics and simulations\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003ePart Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell P\/N: 0HR5WD \/ HR5WD\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOther P\/Ns: 699-2G500-0216-400, 900-2G500-0150-000\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003eImportant Notes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive cooling requires proper server airflow (not suitable for desktop use)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNo video outputs; this is a compute-only GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePlease confirm system compatibility before purchase\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":55743744245833,"sku":"HR5WD","price":616.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/9d84b89a-70d8-5bd9-b759-301c57402ddd.png?v=1781550930"},{"product_id":"nvidia-ampere-a100-80gb-hbm2e-tensor-core-pcie-4-0-passive-data-center-server-accelerator-gpu-p1001b-900-21001-0020-100","title":"NVIDIA Ampere A100 80GB HBM2e Tensor Core PCIe 4.0 Passive Data Center Server Accelerator GPU P1001B 900-21001-0020-100","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch1 style=\"text-align: justify;\"\u003e\u003cstrong\u003eNVIDIA Ampere A100 80GB HBM2e Tensor Core PCIe 4.0 Passive Data Center Server GPU (Non-CEC) – 900-21001-0020-100\u003c\/strong\u003e\u003c\/h1\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eEnterprise AI \u0026amp; HPC Performance – Powered by NVIDIA Ampere\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe NVIDIA A100 80GB PCIe GPU delivers industry-leading acceleration for artificial intelligence, machine learning, and high-performance computing workloads. Built on the advanced Ampere architecture, this data center GPU is engineered for maximum throughput, scalability, and efficiency in demanding server environments.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eDesigned with passive cooling, the A100 integrates seamlessly into high-density rackmount servers where optimized airflow ensures reliable, sustained performance.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eKey Features\u003c\/h2\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e80GB HBM2e high-bandwidth memory with up to 1.94 TB\/s bandwidth\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Ampere architecture for next-generation performance\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e432 third-generation Tensor Cores for AI acceleration\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePCIe 4.0 x16 interface for high-speed data transfer\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMulti-Instance GPU (MIG) support with up to 7 isolated GPU instances\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive cooling design optimized for data center airflow\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNon-CEC version without secondary hardware root of trust\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eTechnical Specifications\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eGPU Architecture\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArchitecture: NVIDIA Ampere\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 6,912\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor Cores: 432 (3rd Generation)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eStreaming Multiprocessors (SM): 108\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePerformance\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP32: 19.5 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP64: 9.7 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor TF32: 156 TFLOPS (up to 312 TFLOPS with sparsity)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP16 \/ BFLOAT16: 312 TFLOPS (up to 624 TFLOPS with sparsity)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eINT8: 624 TOPS\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eMemory\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCapacity: 80GB\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eType: HBM2e\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInterface: 5120-bit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBandwidth: 1.94 TB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC: Enabled\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSystem Interface\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBus Interface: PCIe 4.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Consumption: 300W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Connector: 1× 8-pin\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Dual-slot, full-height, full-length\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling: Passive heatsink\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eScalability \u0026amp; Connectivity\u003c\/h2\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVLink bridge support with up to 600 GB\/s bidirectional bandwidth\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDesigned for multi-GPU configurations in enterprise environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIdeal for scalable AI and HPC cluster deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eIdeal Use Cases\u003c\/h2\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial intelligence training and inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine learning and deep learning applications\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHigh-performance computing workloads\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData analytics and simulation\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise and cloud data center deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eProduct Details\u003c\/h2\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: NVIDIA A100 80GB PCIe\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eManufacturer Part Number: 900-21001-0020-100\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAlternate Part Numbers: 699-21001-0230-611, P1001B\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling Type: Passive\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCondition: New \/ Refurbished \/ Used (specify as applicable)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eImportant Compatibility Notes\u003c\/h2\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRequires server-grade chassis with high airflow cooling\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNot suitable for standard desktop systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnsure adequate power capacity for 300W TDP\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVerify motherboard compatibility with PCIe 4.0 x16\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2 style=\"text-align: justify;\"\u003eSummary\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe NVIDIA A100 80GB PCIe GPU is a top-tier data center accelerator built for demanding AI and compute workloads. With advanced Tensor Core technology, high-bandwidth memory, and scalable multi-instance capabilities, it delivers exceptional performance for enterprise environments.\u003c\/p\u003e\n","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":55757561102409,"sku":"900-21001-0020-100","price":15199.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/06c2c4e2-053b-5435-bbf8-5416598eb2d1.png?v=1782167550"},{"product_id":"dell-nvidia-tesla-v100-32gb-hbm2-sxm2-volta-gv100-gpu-accelerator-0nwwwx-nwwwx","title":"Dell Nvidia Tesla V100 32GB HBM2 SXM2 Volta GV100 GPU Accelerator 0NWWWX NWWWX","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eDell NVIDIA Tesla V100 32GB HBM2 SXM2 Volta GV100 GPU Accelerator | 0NWWWX | NWWWX\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003ePower your AI, deep learning, and high-performance computing workloads with the \u003cstrong\u003eDell NVIDIA Tesla V100 32GB SXM2 GPU Accelerator\u003c\/strong\u003e. Built on NVIDIA's advanced Volta architecture, the Tesla V100 delivers exceptional compute performance, massive memory bandwidth, and industry-leading acceleration for data centers, machine learning, scientific research, and enterprise applications.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eDesigned for compatible Dell PowerEdge accelerator platforms, this GPU features \u003cstrong\u003e32GB of HBM2 memory\u003c\/strong\u003e, \u003cstrong\u003e5,120 CUDA cores\u003c\/strong\u003e, and \u003cstrong\u003e640 Tensor Cores\u003c\/strong\u003e, making it an ideal solution for demanding AI training and HPC environments.\u003c\/p\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eKey Features\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Volta GV100 Architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e32GB HBM2 High-Bandwidth Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSXM2 Form Factor\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e5,120 CUDA Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e640 Tensor Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVLink 2.0 Support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eUp to 125 Tensor TFLOPS Performance\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Memory Support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOptimized for AI, Machine Learning, and HPC Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eSpecifications\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eManufacturer:\u003c\/strong\u003e Dell \/ NVIDIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eDell Part Number:\u003c\/strong\u003e 0NWWWX\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e Tesla V100 SXM2\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Volta (GV100)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 5,120\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eTensor Cores:\u003c\/strong\u003e 640\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMemory Capacity:\u003c\/strong\u003e 32GB HBM2\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMemory Bus Width:\u003c\/strong\u003e 4096-bit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 900 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eBase Clock:\u003c\/strong\u003e 1246 MHz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eBoost Clock:\u003c\/strong\u003e Up to 1530 MHz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eFP32 Performance:\u003c\/strong\u003e Up to 15.7 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eFP64 Performance:\u003c\/strong\u003e Up to 7.8 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eTensor Performance:\u003c\/strong\u003e Up to 125 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eInterconnect:\u003c\/strong\u003e NVIDIA NVLink 2.0\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eTDP:\u003c\/strong\u003e 300W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e Passive Heatsink\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eIdeal Applications\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning Training \u0026amp; Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHigh-Performance Computing (HPC)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Simulations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData Analytics\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFinancial Modeling\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning Workloads\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eCompatibility\u003c\/h4\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eCompatible with select Dell accelerator servers, including:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge C4140\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOther systems supporting NVIDIA Tesla V100 SXM2 GPUs\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eCondition\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTested and verified for functionality\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePulled from a working environment\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMay show minor cosmetic wear from normal use\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003ePackage Includes\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e1x Dell NVIDIA Tesla V100 32GB HBM2 SXM2 GPU Accelerator\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eRelated Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\u003cstrong\u003e0NWWWX\u003c\/strong\u003e\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e\u003cstrong\u003eNWWWX\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cblockquote\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eImportant:\u003c\/strong\u003e This is an SXM2 accelerator module and is not a standard PCIe graphics card. Please verify compatibility with your server platform before purchasing. It requires a supported SXM2-enabled system and chassis cooling infrastructure.\u003c\/p\u003e\n\u003c\/blockquote\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":55840064372809,"sku":"NWWWX","price":949.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/7b35c497-8535-5fa2-b32d-8dd0c9d6555a.png?v=1784740130"},{"product_id":"hp-nvidia-quadro-m5000-8gb-gddr5-maxwell-workstation-graphics-video-card-900-5g400-0350-001-818242-002-861189-001","title":"HP NVIDIA Quadro M5000 8GB GDDR5 Maxwell Workstation Graphics Video Card 900-5G400-0350-001 818242-002 861189-001","description":"\u003ch1 style=\"text-align: justify;\"\u003eHP NVIDIA Quadro M5000 8GB GDDR5 Maxwell Workstation Graphics Video Card\u003c\/h1\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eP\/N: 900-5G400-0350-001 | 818242-002 | 861189-001 | 699-5G400-0500-111\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eUnlock professional-grade graphics performance with the \u003cstrong\u003eHP NVIDIA Quadro M5000\u003c\/strong\u003e, a powerful workstation GPU engineered for CAD, 3D modeling, digital content creation, visualization, and professional rendering workflows. Built on NVIDIA's proven Maxwell architecture, the Quadro M5000 delivers exceptional reliability, certified application support, and the precision required by engineers, architects, designers, and creative professionals.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eFeaturing \u003cstrong\u003e8GB of high-speed GDDR5 memory\u003c\/strong\u003e and \u003cstrong\u003e2,048 CUDA cores\u003c\/strong\u003e, this workstation graphics card is optimized for demanding applications including AutoCAD, SOLIDWORKS, Revit, Autodesk Maya, 3ds Max, Adobe Creative Cloud, and other professional visualization software. Unlike data center accelerator cards, the Quadro M5000 is a true workstation graphics solution with dedicated display outputs and active cooling for desktop workstation environments.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe blower-style cooling design efficiently exhausts heat outside the chassis, making it ideal for professional workstations where sustained performance and system stability are critical. Support for multiple high-resolution displays enables enhanced productivity across complex design, engineering, and content creation projects.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Quadro M5000 Professional Workstation GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e8GB GDDR5 Dedicated Video Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMaxwell GM204 Architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e2,048 CUDA Processing Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePCI Express 3.0 x16 Interface\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eActive Blower Cooling Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eProfessional ISV-Certified Drivers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports Multi-Monitor Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIdeal for CAD, 3D Modeling, Rendering, and Visualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP Enterprise OEM Graphics Card\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eTechnical Specifications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eManufacturer: HP \/ NVIDIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: Quadro M5000\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Architecture: Maxwell\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGraphics Memory: 8GB GDDR5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 2,048\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBus Interface: PCIe 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Full-Height, Dual-Slot\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling: Active Blower Fan\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Requirement: 1 x 6-Pin PCIe Power Connector\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDisplay Outputs: DisplayPort and DVI (varies by configuration)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutoCAD\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSOLIDWORKS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRevit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCATIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSiemens NX\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutodesk Maya\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e3ds Max\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAdobe Premiere Pro\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAdobe After Effects\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDaVinci Resolve\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eAssociated Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e900-5G400-0350-001\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e699-5G400-0500-111\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e818242-002\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e861189-001\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Quadro M5000\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eProfessionally designed for enterprise workstations, the NVIDIA Quadro M5000 combines certified software compatibility, dependable performance, and advanced graphics capabilities to power demanding professional workflows.\u003c\/strong\u003e\u003c\/p\u003e\n","brand":"HPE","offers":[{"title":"Default Title","offer_id":55892453556297,"sku":"861189-001","price":94.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/f29b47d9-01ac-52c5-8594-8cff8d5577d9.png?v=1786729715"},{"product_id":"nvidia-rtx-pro-a2000-4x-mdp-6gb-gddr6-ecc-pcie-4-0-dual-slot-lp-professional-workstation-graphics-card-gpu-699-5g150-0500-302","title":"NVIDIA RTX PRO A2000 4x mDP 6GB GDDR6 ECC PCIe 4.0 Dual-Slot LP Professional Workstation Graphics Card GPU 699-5G150-0500-302","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eNVIDIA RTX PRO A2000 6GB GDDR6 ECC Low Profile Workstation Graphics Card\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePart Number: 699-5G192-0500-100\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eBoost your professional workstation performance with the NVIDIA RTX PRO A2000, a compact yet powerful graphics card built on NVIDIA Ampere architecture. Designed for engineers, architects, designers, content creators, and AI professionals, the RTX A2000 delivers certified workstation-class performance in a low-profile, dual-slot form factor.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eFeaturing 3,328 CUDA cores, 26 second-generation RT Cores, and 104 third-generation Tensor Cores, the RTX A2000 accelerates demanding workflows including 3D modeling, CAD design, rendering, visualization, AI development, simulation, and content creation. The integrated 6GB GDDR6 ECC memory provides enhanced reliability and data integrity for mission-critical professional applications.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eIts low-profile design and efficient 70W power consumption make it an excellent upgrade for compact workstations and space-constrained systems. With support for up to four displays through Mini DisplayPort 1.4a outputs, users can drive multiple high-resolution monitors, including 8K displays, for enhanced productivity.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Ampere GPU Architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e3,328 CUDA Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e6GB GDDR6 ECC Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e104 Third-Generation Tensor Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e26 Second-Generation RT Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePCI Express 4.0 x16 Interface\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLow Profile Dual-Slot Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eActive Blower Cooling Solution\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eUp to 288 GB\/s Memory Bandwidth\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFour Mini DisplayPort 1.4a Outputs\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports Resolutions up to 7680 x 4320 (8K)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e70W Maximum Power Consumption\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNo External Power Connector Required\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eProfessional Workstation Graphics Solution\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eTechnical Specifications\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eManufacturer:\u003c\/strong\u003e NVIDIA\u003cbr\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e RTX PRO A2000 \/ RTX A2000\u003cbr\u003e\n\u003cstrong\u003ePart Number:\u003c\/strong\u003e 699-5G192-0500-100\u003cbr\u003e\n\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere\u003cbr\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 3,328\u003cbr\u003e\n\u003cstrong\u003eRT Cores:\u003c\/strong\u003e 26 (2nd Generation)\u003cbr\u003e\n\u003cstrong\u003eTensor Cores:\u003c\/strong\u003e 104 (3rd Generation)\u003cbr\u003e\n\u003cstrong\u003eMemory Capacity:\u003c\/strong\u003e 6GB\u003cbr\u003e\n\u003cstrong\u003eMemory Type:\u003c\/strong\u003e GDDR6 ECC\u003cbr\u003e\n\u003cstrong\u003eMemory Bus Width:\u003c\/strong\u003e 192-bit\u003cbr\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e Up to 288 GB\/s\u003cbr\u003e\n\u003cstrong\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x16\u003cbr\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Low Profile, Dual Slot\u003cbr\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e Active Blower Fan\u003cbr\u003e\n\u003cstrong\u003eDisplay Outputs:\u003c\/strong\u003e 4x Mini DisplayPort 1.4a\u003cbr\u003e\n\u003cstrong\u003eMaximum Resolution:\u003c\/strong\u003e 7680 x 4320 (8K) @ 60Hz\u003cbr\u003e\n\u003cstrong\u003ePower Consumption:\u003c\/strong\u003e 70W\u003cbr\u003e\n\u003cstrong\u003eExternal Power Connector:\u003c\/strong\u003e Not Required\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutoCAD\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSolidWorks\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRevit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInventor\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCreo\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCATIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBlender\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMaya\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e3ds Max\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAdobe Creative Cloud\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDaVinci Resolve\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVisualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEngineering Simulations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eProfessional Multi-Monitor Workstations\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePackage Includes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA RTX PRO A2000 6GB GDDR6 ECC Graphics Card\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePart Number: 699-5G192-0500-100\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eImportant Note\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThis is the \u003cstrong\u003e6GB GDDR6 ECC version\u003c\/strong\u003e of the NVIDIA RTX A2000 workstation graphics card. It is a professional workstation GPU that succeeds the NVIDIA Quadro product line and offers enterprise-grade drivers and reliability for professional applications. The card features a low-profile dual-slot design and supports up to four Mini DisplayPort displays.\u003c\/p\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":56129525121097,"sku":"699-5G192-0500-100","price":1329.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/a1a17f5c-fef3-5cc8-adeb-bc8400baa81a.png?v=1789918530"},{"product_id":"hpe-nvidia-tesla-v100-pg500-216-32gb-hbm2-pcie-3-0-x16-passive-data-center-ai-hpc-gpu-server-accelerator-r8f32a-p44862-b21-p44899-001-p44861-001","title":"HPE NVIDIA Tesla V100 PG500-216 32GB HBM2 PCIe 3.0 x16 Passive Data Center AI HPC GPU Server Accelerator R8F32A P44862-B21 P44899-001 P44861-001","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eHPE NVIDIA Tesla V100 PG500-216 32GB HBM2 PCIe 3.0 x16 Passive Data Center AI HPC GPU Server Accelerator\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePart Numbers: P44861-001 | P44899-001 | R8F32A | 699-2G500-0216-400\u003c\/h3\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eModel \/ Board Number: PG500-216\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe HPE NVIDIA Tesla V100 is a high-performance enterprise GPU accelerator designed for Artificial Intelligence (AI), Deep Learning, Machine Learning, Data Analytics, Scientific Computing, and High-Performance Computing (HPC) environments. Based on NVIDIA's Volta architecture, the Tesla V100 delivers exceptional computational performance with dedicated Tensor Cores engineered specifically for accelerating AI training and inference workloads.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eFeaturing 32GB of ultra-fast HBM2 memory with ECC support and an impressive 900 GB\/s memory bandwidth, the Tesla V100 is optimized for demanding data center applications that require massive parallel processing capabilities. This server-grade accelerator utilizes a passive cooling design and requires managed chassis airflow from a compatible server environment.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eUnlike workstation or gaming graphics cards, the Tesla V100 is a headless compute accelerator with no display outputs, making it ideal for AI clusters, research institutions, cloud computing environments, virtualized infrastructures, and enterprise HPC deployments.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Volta GV100 Architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e32GB HBM2 High-Bandwidth Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e900 GB\/s Memory Bandwidth\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e5,120 CUDA Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e640 Tensor Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePCI Express 3.0 x16 Interface\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Memory Support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive Data Center Cooling Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI Training \u0026amp; Inference Accelerator\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning Optimized\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Computing \u0026amp; HPC Ready\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVLink Support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDual-Slot Full Height \/ Full Length Form Factor\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise Data Center GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNo Video Outputs (Headless Compute Accelerator)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eTechnical Specifications\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eManufacturer:\u003c\/strong\u003e HPE \/ NVIDIA\u003cbr\u003e\n\u003cstrong\u003eProduct Family:\u003c\/strong\u003e Tesla V100\u003cbr\u003e\n\u003cstrong\u003eModel Number:\u003c\/strong\u003e PG500-216\u003cbr\u003e\n\u003cstrong\u003eHPE Option Part Number:\u003c\/strong\u003e P44861-001\u003cbr\u003e\n\u003cstrong\u003eHPE Spare Part Number:\u003c\/strong\u003e P44899-001\u003cbr\u003e\n\u003cstrong\u003eHPE Sales Part Number:\u003c\/strong\u003e R8F32A\u003cbr\u003e\n\u003cstrong\u003eNVIDIA Part Number:\u003c\/strong\u003e 699-2G500-0216-400\u003cbr\u003e\n\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Volta GV100\u003cbr\u003e\n\u003cstrong\u003eMemory Capacity:\u003c\/strong\u003e 32GB\u003cbr\u003e\n\u003cstrong\u003eMemory Type:\u003c\/strong\u003e HBM2 ECC\u003cbr\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 900 GB\/s\u003cbr\u003e\n\u003cstrong\u003eMemory Bus Width:\u003c\/strong\u003e 4096-bit\u003cbr\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 5,120\u003cbr\u003e\n\u003cstrong\u003eTensor Cores:\u003c\/strong\u003e 640\u003cbr\u003e\n\u003cstrong\u003eFP64 Performance:\u003c\/strong\u003e Up to 7 TFLOPS\u003cbr\u003e\n\u003cstrong\u003eFP32 Performance:\u003c\/strong\u003e Up to 14 TFLOPS\u003cbr\u003e\n\u003cstrong\u003eTensor Performance:\u003c\/strong\u003e Up to 112 TFLOPS\u003cbr\u003e\n\u003cstrong\u003eInterface:\u003c\/strong\u003e PCIe 3.0 x16\u003cbr\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Full Height, Full Length, Dual Slot\u003cbr\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e Passive Heatsink\u003cbr\u003e\n\u003cstrong\u003ePower Consumption:\u003c\/strong\u003e 250W TDP\u003cbr\u003e\n\u003cstrong\u003ePower Connector:\u003c\/strong\u003e 8-Pin Server Power Connection\u003cbr\u003e\n\u003cstrong\u003eECC Support:\u003c\/strong\u003e Yes\u003cbr\u003e\n\u003cstrong\u003eDisplay Outputs:\u003c\/strong\u003e None\u003cbr\u003e\n\u003cstrong\u003eNVLink Support:\u003c\/strong\u003e Yes\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSupported Compute Frameworks\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA CUDA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOpenCL\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOpenACC\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDirectCompute\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensorFlow\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePyTorch\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA AI Enterprise\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning Frameworks\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPC Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLarge Language Model Development\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPC Clusters\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Research\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEngineering Simulations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFinancial Modeling\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMedical Research\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData Analytics\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtualized GPU Environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCloud Computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise Data Centers\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Server Platforms\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL380 Gen10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL360 Gen10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOther enterprise servers supporting passive PCIe GPU accelerators and adequate airflow requirements\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePackage Includes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e1x HPE NVIDIA Tesla V100 32GB HBM2 GPU Accelerator\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: PG500-216\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE P\/N: P44861-001\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSpare P\/N: P44899-001\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA P\/N: 699-2G500-0216-400\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eImportant Notes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThis is a \u003cstrong\u003eData Center AI \/ HPC Accelerator\u003c\/strong\u003e, not a gaming or workstation graphics card.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive cooling design requires server chassis airflow for proper operation.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNo display ports are present on this accelerator.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDesigned for AI, Deep Learning, Machine Learning, Scientific Computing, Virtualization, and High-Performance Computing workloads.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBoard Model Number: \u003cstrong\u003ePG500-216\u003c\/strong\u003e\n\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCross-reference Part Numbers: \u003cstrong\u003e699-2G500-0216-400, PG500-216, R8F32A, P44861-001, P44899-001\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"HPE \/ NVIDIA","offers":[{"title":"Default Title","offer_id":56129536163913,"sku":"P44861-001","price":759.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/a1a17f5c-fef3-5cc8-adeb-bc8400baa81a_d8ba26ce-69ea-42b3-bad3-9176bec94351.png?v=1789919619"},{"product_id":"lenovo-ibm-nvidia-quadro-nvs-315-1gb-ddr3-atx-gpu-video-card-00fc853-03t6753-4x60f17422","title":"Lenovo IBM NVIDIA Quadro NVS 315 1GB DDR3 ATX GPU Video Card 00FC853 03T6753 4X60F17422","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003e\u003cstrong\u003eLenovo IBM NVIDIA Quadro NVS 315 1GB DDR3 ATX GPU Video Card 00FC853 03T6753 4X60F17422\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe Lenovo IBM NVIDIA Quadro NVS 315 is a professional business-class graphics card designed for multi-monitor environments, enterprise workstations, office applications, digital signage, and server management systems. Featuring 1GB DDR3 memory and NVIDIA's reliable Quadro architecture, this low-profile PCI Express graphics adapter delivers exceptional stability, low power consumption, and dual-display support for professional environments.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eOriginally supplied as a genuine Lenovo and IBM OEM component, the NVS 315 is an ideal replacement or upgrade graphics solution for Lenovo ThinkStation workstations, IBM systems, and other desktop or server platforms equipped with a PCI Express x16 slot.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eBuilt on the NVIDIA GF119 architecture, the Quadro NVS 315 supports advanced display management technologies including NVIDIA Mosaic and nView Desktop Management, making it well-suited for financial trading stations, business desktops, call centers, surveillance systems, and multi-monitor office deployments.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGenuine Lenovo IBM OEM NVIDIA Quadro NVS 315\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e1GB DDR3 Dedicated Graphics Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA GF119 GPU Architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e48 CUDA Processing Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePCI Express 2.0 x16 Interface\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLow Profile Single Slot Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDMS-59 Video Output\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports Dual Monitor Configurations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Mosaic Technology\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA nView Desktop Management\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDirectX 11 Compatible\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOpenGL 4.3 Support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLow Power 19.3W Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNo External Power Connector Required\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eTechnical Specifications\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eManufacturer:\u003c\/strong\u003e NVIDIA\u003cbr\u003e\n\u003cstrong\u003eOEM Vendor:\u003c\/strong\u003e Lenovo \/ IBM\u003cbr\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e Quadro NVS 315\u003cbr\u003e\n\u003cstrong\u003eGraphics Memory:\u003c\/strong\u003e 1GB DDR3\u003cbr\u003e\n\u003cstrong\u003eMemory Interface:\u003c\/strong\u003e 64-Bit\u003cbr\u003e\n\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e GF119 (Fermi)\u003cbr\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 48\u003cbr\u003e\n\u003cstrong\u003eBus Interface:\u003c\/strong\u003e PCI Express 2.0 x16\u003cbr\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Low Profile \/ Single Slot\u003cbr\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e Active Fan Heatsink\u003cbr\u003e\n\u003cstrong\u003ePower Consumption:\u003c\/strong\u003e 19.3W Maximum\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eDisplay Capabilities\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDMS-59 Video Connector\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports Up To 2 Displays Simultaneously\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMaximum Resolution: 2560 x 1600 @ 60Hz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCompatible With DMS-59 To Dual DVI Adapters\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCompatible With DMS-59 To Dual DisplayPort Adapters\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSoftware \u0026amp; API Support\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMicrosoft DirectX 11\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOpenGL 4.3\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOpenCL\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDirectCompute\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Mosaic Technology\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA nView Desktop Management\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatibility\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eCompatible with systems featuring a standard PCI Express x16 slot, including:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLenovo ThinkStation Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIBM Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell OptiPlex Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP ProLiant Servers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLenovo ThinkCentre Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCustom ATX Desktop Computers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eWindows-Based Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLinux-Based Systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCommon Lenovo ThinkStation Compatibility\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation P300\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation P310\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation P320\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation C30\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation D30\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation S30\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eRelated Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e00FC853\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e00FC854\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e03T6753\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e4X60F17422\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVCNVS315DVI-PB\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVCNVS315DP-PB\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eP2123\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e900-52123\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGF119-825-A1\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eRelated Adapter \u0026amp; Cable Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e03T8402\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e0B50758\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDMS-59 to Dual DVI Adapter\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e03T8403\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e0B50759\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDMS-59 to Dual DisplayPort Adapter\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMulti-Monitor Office Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFinancial Trading Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDigital Signage\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePoint of Sale Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBusiness Productivity Applications\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThin Client Environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eServer Management Consoles\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSurveillance Monitoring\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise Desktop Deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePackage Includes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLenovo IBM NVIDIA Quadro NVS 315 Graphics Card\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e1GB DDR3 Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePart Number: 00FC853\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eImportant Notes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThis is a dedicated GPU graphics card and video adapter.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eUses a standard PCI Express x16 interface and is not limited to Lenovo ThinkStation systems.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDMS-59 breakout cable may be required for monitor connectivity and may not be included.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports dual-monitor operation when used with the appropriate DMS-59 adapter cable.\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePlease verify physical clearance, bracket type, and operating system compatibility before purchase.\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Lenovo \/ NVIDIA","offers":[{"title":"Default Title","offer_id":56129692958793,"sku":"00FC853","price":41.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/79557b54-a1e8-571b-9ca5-da9b5a1e0335.png?v=1789927386"},{"product_id":"nvidia-quadro-rtx-8000-passive-virtual-data-center-vdws-gpu-48gb-gddr6-384-bit-pci-e-3-0-server-graphics-card-699-2g150-0231-302","title":"NVIDIA Quadro RTX 8000 Passive Virtual Data Center (vDWS) GPU 48GB GDDR6 384-Bit PCI-E 3.0 Server Graphics Card 699-2G150-0231-302","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2\u003eNVIDIA Quadro RTX 8000 Passive Virtual Data Center (vDWS) GPU 48GB GDDR6 384-Bit PCI-E 3.0 Server Graphics Card\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003ePart Number:\u003c\/strong\u003e 699-2G150-0231-302\u003cbr\u003e\n\u003cstrong\u003eOther Related Number:\u003c\/strong\u003e 900-2G150-0050-000\u003c\/p\u003e\n\n\u003cp\u003ePower your virtual workstations, AI workloads, rendering applications, and high-performance data center environments with the NVIDIA Quadro RTX 8000 Passive. Built on NVIDIA's Turing architecture, this enterprise-class GPU delivers exceptional performance for virtualization, CAD\/CAM, simulation, deep learning, visualization, and professional rendering applications. Featuring an impressive 48GB of ECC GDDR6 memory and hardware-accelerated ray tracing capabilities, the RTX 8000 Passive is designed for demanding server and data center deployments.\u003c\/p\u003e\n\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e48GB ECC GDDR6 Graphics Memory\u003c\/li\u003e\n\t\u003cli\u003eNVIDIA Turing Architecture\u003c\/li\u003e\n\t\u003cli\u003e4,608 CUDA Cores\u003c\/li\u003e\n\t\u003cli\u003e576 Tensor Cores\u003c\/li\u003e\n\t\u003cli\u003e72 RT Cores\u003c\/li\u003e\n\t\u003cli\u003ePCI Express 3.0 x16 Interface\u003c\/li\u003e\n\t\u003cli\u003e384-Bit Memory Interface\u003c\/li\u003e\n\t\u003cli\u003eUp to 624 GB\/s Memory Bandwidth\u003c\/li\u003e\n\t\u003cli\u003ePassive Cooling Design for Server Environments\u003c\/li\u003e\n\t\u003cli\u003eNVIDIA Virtual Data Center Workstation (vDWS) Ready\u003c\/li\u003e\n\t\u003cli\u003eSupports AI, Deep Learning, CAD, Rendering, HPC, and Virtualization Workloads\u003c\/li\u003e\n\t\u003cli\u003eDual-Slot Form Factor\u003c\/li\u003e\n\t\u003cli\u003eNVLink Multi-GPU Support\u003c\/li\u003e\n\t\u003cli\u003eEnterprise-Class Reliability\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003eManufacturer:\u003c\/strong\u003e NVIDIA\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eModel:\u003c\/strong\u003e Quadro RTX 8000 Passive\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eProduct Type:\u003c\/strong\u003e Data Center \/ Server GPU Accelerator\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Turing\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGPU Processor:\u003c\/strong\u003e TU102\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 4,608\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eTensor Cores:\u003c\/strong\u003e 576\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eRT Cores:\u003c\/strong\u003e 72\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eMemory Capacity:\u003c\/strong\u003e 48GB ECC GDDR6\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eMemory Interface:\u003c\/strong\u003e 384-Bit\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 624 GB\/s\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eBus Interface:\u003c\/strong\u003e PCI Express 3.0 x16\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCooling Type:\u003c\/strong\u003e Passive Heatsink\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Dual Slot\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eMaximum Power Consumption:\u003c\/strong\u003e 260W\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePower Connectors:\u003c\/strong\u003e 1x 6-Pin + 1x 8-Pin PCIe\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eFP32 Performance:\u003c\/strong\u003e Up to 16.3 TFLOPS\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eVirtualization Support:\u003c\/strong\u003e NVIDIA vGPU \/ vDWS\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eDisplay Outputs:\u003c\/strong\u003e None (Server\/Data Center Model)\u003c\/p\u003e\n\n\u003chr\u003e\n\u003ch2\u003eCompatible Systems\u003c\/h2\u003e\n\n\u003cp\u003eThe NVIDIA Quadro RTX 8000 Passive can be installed in servers and workstations that support:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003ePCIe 3.0 x16 expansion slots\u003c\/li\u003e\n\t\u003cli\u003eSufficient server-grade airflow for passive GPUs\u003c\/li\u003e\n\t\u003cli\u003eNVIDIA vGPU deployments\u003c\/li\u003e\n\t\u003cli\u003eVMware vSphere environments\u003c\/li\u003e\n\t\u003cli\u003eCitrix Virtual Apps and Desktops\u003c\/li\u003e\n\t\u003cli\u003eMicrosoft Hyper-V\u003c\/li\u003e\n\t\u003cli\u003eWindows Server operating systems\u003c\/li\u003e\n\t\u003cli\u003eLinux-based server environments\u003c\/li\u003e\n\t\u003cli\u003eGPU rendering servers\u003c\/li\u003e\n\t\u003cli\u003eHigh Performance Computing (HPC) platforms\u003c\/li\u003e\n\t\u003cli\u003eAI and Machine Learning infrastructure\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003eVirtual Desktop Infrastructure (VDI)\u003c\/li\u003e\n\t\u003cli\u003eNVIDIA Virtual Data Center Workstations (vDWS)\u003c\/li\u003e\n\t\u003cli\u003eArtificial Intelligence (AI)\u003c\/li\u003e\n\t\u003cli\u003eDeep Learning\u003c\/li\u003e\n\t\u003cli\u003eMachine Learning\u003c\/li\u003e\n\t\u003cli\u003eCAD\/CAM Design\u003c\/li\u003e\n\t\u003cli\u003e3D Modeling\u003c\/li\u003e\n\t\u003cli\u003eScientific Computing\u003c\/li\u003e\n\t\u003cli\u003eEngineering Simulation\u003c\/li\u003e\n\t\u003cli\u003eMedical Imaging\u003c\/li\u003e\n\t\u003cli\u003eData Visualization\u003c\/li\u003e\n\t\u003cli\u003eReal-Time Ray Tracing\u003c\/li\u003e\n\t\u003cli\u003eProfessional Rendering\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch2\u003eAlternate Part Numbers\u003c\/h2\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e699-2G150-0231-302\u003c\/li\u003e\n\t\u003cli\u003eother number: 900-2G150-0050-000\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3\u003eImportant Notes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli\u003ePassive-cooled GPU intended for server and data center environments only.\u003c\/li\u003e\n\t\u003cli\u003eRequires chassis airflow for proper cooling.\u003c\/li\u003e\n\t\u003cli\u003eNo external display ports are included.\u003c\/li\u003e\n\t\u003cli\u003eVerify server power, cooling capacity, and PCIe compatibility before purchasing.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003ePackage Includes:\u003c\/strong\u003e 1x NVIDIA Quadro RTX 8000 Passive 48GB PCIe Server Graphics Card\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e Used - Tested Working\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eTray, accessories, cables, software, and documentation are not included unless specifically stated.\u003c\/strong\u003e\u003c\/p\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":56144157802569,"sku":"699-2G150-0231-302","price":2136.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/15e8d337-a212-5ca2-88eb-d8587ec9d3de.png?v=1790288014"},{"product_id":"nvidia-quadro-rtx-8000-48gb-gddr6-active-workstation-gpu-for-ai-deep-learning-rendering-699-5g150-0500-302","title":"NVIDIA Quadro RTX 8000 48GB GDDR6 Active Workstation GPU for AI Deep Learning Rendering 699-5G150-0500-302","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eNVIDIA Quadro RTX 8000 48GB GDDR6 Active Workstation GPU 699-5G150-0500-302\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eProduct Description\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe NVIDIA Quadro RTX 8000 is a flagship professional workstation graphics card designed for demanding AI, deep learning, machine learning, scientific visualization, virtual production, CAD, CGI, and 3D rendering workloads.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003ePowered by NVIDIA's Turing architecture, the RTX 8000 features 48GB of high-speed ECC GDDR6 memory, dedicated RT Cores for real-time ray tracing, and Tensor Cores for AI acceleration. It delivers exceptional performance for data-intensive applications, complex simulations, GPU rendering, and enterprise-class visualization environments.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eSupport for NVIDIA NVLink technology allows two RTX 8000 GPUs to be connected for up to 96GB of combined GPU memory, making it an excellent solution for large-scale AI training, visual effects production, and high-performance computing applications.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSpecifications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eManufacturer: NVIDIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: Quadro RTX 8000\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePart Number: 699-5G150-0500-302\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Architecture: NVIDIA Turing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Capacity: 48GB GDDR6 ECC\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 4,608\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor Cores: 576\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRT Cores: 72\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Bandwidth: 672 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRTX-OPS: 84T\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRay Tracing Performance: Up to 11 Giga Rays\/sec\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP32 Performance: Up to 16.3 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning Performance: Up to 130.5 Tensor TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInterface: PCI Express 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDisplay Outputs:\n\t\u003cul\u003e\n\t\t\u003cli\u003e4 x DisplayPort 1.4\u003c\/li\u003e\n\t\t\u003cli\u003e1 x VirtualLink USB-C\u003c\/li\u003e\n\t\u003c\/ul\u003e\n\t\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Dual-Slot\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling Type: Active Cooling\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMaximum Power Consumption: 295W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVLink Support: Yes\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMulti-GPU Memory Scaling: Up to 96GB\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVR Ready: Yes\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Memory Support: Yes\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eProfessional Driver Support: Yes\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e48GB ECC GDDR6 memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eReal-time ray tracing technology\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI acceleration with Tensor Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Turing architecture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVLink multi-GPU support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eProfessional application certifications\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtual Reality ready\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise-class reliability\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOptimized for AI and ML workloads\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIdeal for complex rendering and simulation tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Equipment\u003c\/h3\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eDell Precision Workstations\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePrecision 5820 Tower\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePrecision 7820 Tower\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePrecision 7920 Tower\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePrecision 7865 Tower\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eHP Z-Series Workstations\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP Z4 G4\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP Z6 G4\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP Z8 G4\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHP Z8 Fury\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eLenovo ThinkStation Workstations\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation P520\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation P720\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation P920\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eThinkStation PX\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eSupermicro Systems\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSuperWorkstation Series\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI Training Platforms\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Accelerated Servers\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eAdditional Compatible Platforms\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBOXX Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eASUS Pro WS Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRackmount GPU Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI Servers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning Servers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPC Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCustom Workstations with PCIe x16 support\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eApplication Compatibility\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutodesk AutoCAD\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutodesk Revit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutodesk Maya\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutodesk 3ds Max\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBlender\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCinema 4D\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSolidWorks\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCATIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSiemens NX\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePTC Creo\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAdobe Premiere Pro\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAdobe After Effects\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDaVinci Resolve\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eUnreal Engine\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eUnity\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNVIDIA Omniverse\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensorFlow\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePyTorch\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMATLAB\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eANSYS\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eIdeal For\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning (DL)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning (ML)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e3D Rendering\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCAD\/CAM Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtual Production\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVisual Effects (VFX)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEngineering Simulation\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData Science\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eContent Creation\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Rendering Farms\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eNote\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eBefore purchasing, please verify that your workstation has a compatible PCIe x16 slot, adequate power supply capacity, and sufficient chassis clearance for installation.\u003c\/strong\u003e\u003c\/p\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":56153810042953,"sku":"699-5G150-0500-302","price":2469.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/88b978bd-f8a1-5b83-9376-245e7dbb2fc9.png?v=1790652655"},{"product_id":"nvidia-tesla-p40-24gb-gddr5-3840-cuda-cores-ai-deep-learning-llm-inference-passive-data-center-gpu-accelerator-server-graphics-card-699-2g610-0200-100","title":"NVIDIA Tesla P40 24GB GDDR5 3840 CUDA Cores AI Deep Learning LLM Inference Passive Data Center GPU Accelerator Server Graphics Card 699-2G610-0200-100","description":"\u003cp\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003e\u003cstrong\u003eNVIDIA Tesla P40 24GB GDDR5 3840 CUDA Cores AI Deep Learning LLM Inference Passive Data Center GPU Accelerator Server Graphics Card 699-2G610-0200-100\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eUnlock powerful AI inference, deep learning, machine learning, virtualization, and high-performance computing capabilities with the NVIDIA Tesla P40 Data Center GPU Accelerator. Built on NVIDIA's Pascal architecture, the Tesla P40 delivers exceptional compute performance with 3,840 CUDA cores and 24GB of GDDR5 memory, making it a popular choice for AI research, LLM inference, computer vision, data analytics, HPC, and GPU-accelerated enterprise workloads.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe 699-2G610-0200-100 is the standard NVIDIA enterprise version of the Tesla P40 and is widely deployed in data centers, AI clusters, Supermicro servers, and HPE GPU-accelerated platforms. Its passive cooling design is optimized for rack-mounted servers with high-airflow environments.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eSpecifications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eManufacturer: NVIDIA\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: Tesla P40\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePart Number: 699-2G610-0200-100\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Architecture: Pascal (GP102)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 3,840\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Capacity: 24GB GDDR5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Interface: 384-Bit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Bandwidth: Up to 346 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBase Clock: 1,303 MHz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBoost Clock: Up to 1,531 MHz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInterface: PCI Express 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Full-Height, Dual-Slot\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling: Passive Heatsink\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMax Power Consumption: 250W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Memory Support: Yes\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Connector: 8-Pin EPS (CPU-Style Connector)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDisplay Outputs: None (Compute Accelerator)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePerformance Features\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e12 TFLOPS Single Precision Performance\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eUp to 47 TOPS INT8 Performance\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOptimized for AI Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning Ready\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLarge Language Model (LLM) Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eComputer Vision Processing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning Acceleration\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Virtualization Support\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensorRT Compatible\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Compute Platform Support\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eIdeal Applications\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeep Learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine Learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLLM Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eStable Diffusion\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eComputer Vision\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData Analytics\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHigh Performance Computing (HPC)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific Computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtual Desktop Infrastructure (VDI)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVirtualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVideo Transcoding\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Server Platforms\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL380 Gen9\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL380 Gen10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE ProLiant DL385 Gen10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eHPE Apollo Systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupermicro GPU Servers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge R730\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge R740\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell PowerEdge R750\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLenovo ThinkSystem SR650\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS Servers\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOther PCIe x16 servers supporting passive GPU accelerators\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Part Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e699-2G610-0200-100\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e699-1G610-0300-100\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTesla P40\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTesla P41\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eQ0V80A\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e870919-001\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e870919-B21\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e913985-001\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePG610\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNV-P40-24GB\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eFeatures\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise-grade NVIDIA Data Center GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e24GB High-Capacity GDDR5 Memory\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e3,840 CUDA Cores\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive Cooling Design\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Memory Capability\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAI and Deep Learning Optimized\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLarge Memory Pool for Model Inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDesigned for 24\/7 Data Center Operation\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports NVIDIA CUDA, TensorRT, and vGPU Technologies\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCondition\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eTested and fully functional. Pulled from a working enterprise environment. May show minor cosmetic signs of handling that do not affect performance.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003ePackage Includes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003e1x NVIDIA Tesla P40 24GB GDDR5 Passive GPU Accelerator (699-2G610-0200-100)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eOther Related Part Numbers:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e699-2G610-0200-100, 699-1G610-0300-100, Tesla P40, Tesla P41, Q0V80A, 870919-001, 870919-B21, 913985-001, PG610, NV-P40-24GB, 699-2G610-0000-000, 699-2G610-0100-000.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e The Tesla P40 uses a passive cooling solution and requires installation in a server chassis with adequate airflow. The 699-1G610-0300-100 and 699-2G610-0200-100 variants share the same Tesla P40 architecture, 24GB GDDR5 memory, and 3,840 CUDA cores, making them compatible for the same AI, inference, and data center workloads.\u003c\/p\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":67608556011593,"sku":"699-2G610-0200-100","price":331.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/af27265e-08f3-5aa6-af23-acf79707257c.png?v=1793302179"}],"url":"https:\/\/parts.theserverstore.com\/collections\/gpus.oembed?page=3","provider":"The Server Store Parts","version":"1.0","type":"link"}