{"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 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