{"product_id":"cisco-nvidia-tesla-m10-32gb-gddr5-quad-gpu-vdi-grid-virtualization-passive-data-center-gpu-server-accelerator-30-1580-01-ucsc-gpu-m10-v01","title":"Cisco NVIDIA Tesla M10 32GB GDDR5 Quad-GPU VDI GRID Virtualization Passive Data Center GPU Server Accelerator 30-1580-01 UCSC-GPU-M10-V01","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;\"\u003e\u003cstrong\u003eCisco NVIDIA Tesla M10 32GB GDDR5 Quad-GPU VDI GRID Virtualization Passive Data Center GPU Server Accelerator UCSC-GPU-M10-V01\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eMaximize virtual desktop density and graphics acceleration with the Cisco NVIDIA Tesla M10 Data Center GPU Accelerator. Designed specifically for VDI, GRID virtualization, cloud computing, and remote workstation deployments, the Tesla M10 combines four physical NVIDIA Maxwell GPUs on a single PCIe card, delivering exceptional multi-user virtualization performance for enterprise data centers.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eUnlike traditional graphics cards, the Tesla M10 is a passive-cooled server accelerator engineered for rack-mounted systems and high-density virtual desktop environments. With 32GB of GDDR5 memory distributed across four GPUs and 2,560 CUDA cores, it is an ideal solution for NVIDIA GRID, Citrix, VMware, Microsoft RDS, and virtualized workstation deployments.\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: Cisco\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eModel: UCSC-GPU-M10-V01\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU: NVIDIA Tesla M10\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArchitecture: Maxwell\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInternal GPUs: 4 Physical GPUs\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTotal CUDA Cores: 2,560 (640 per GPU)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Capacity: 32GB GDDR5 Total\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Per GPU: 8GB GDDR5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Interface: 128-Bit per GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBus Interface: PCI Express 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling Solution: Passive Heatsink\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMaximum Power Consumption: 225W\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;\"\u003eDisplay Outputs: None (Data Center Accelerator)\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;\"\u003eQuad-GPU design for maximum VDI user density\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOptimized for NVIDIA GRID Virtualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSupports Citrix XenDesktop and VMware Horizon environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise-class GPU acceleration for remote workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDesigned for high-density virtual desktop deployments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive cooling for server chassis airflow environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIdeal for cloud computing and graphics virtualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eReliable 24\/7 data center operation\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 Environments\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eVMware Horizon\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCitrix Virtual Apps and Desktops\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRemote Workstations\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Virtualization\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCloud Computing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eEnterprise Graphics Acceleration\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCAD and 3D Virtual Desktops\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMulti-User Virtualized Environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: justify;\"\u003eCompatible Cisco UCS Systems\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS C240 M4\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS C240 M5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS C220 M4\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS C480 M5\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCisco UCS Rack 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;\"\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 Cisco NVIDIA Tesla M10 32GB Quad-GPU Accelerator Card (UCSC-GPU-M10-V01)\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;\"\u003eUCSC-GPU-M10-V01, UCSC-GPU-M10, NVIDIA Tesla M10, P2405, PG405, 900-2G401-0000-000, 900-2G401-2200-000, 699-2G401-0200-500, 30-1580-01, 74-11948-01.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e This accelerator is primarily designed for VDI, GRID virtualization, and virtual workstation environments rather than modern AI training or large language model workloads. Its 32GB memory is divided across four separate 8GB GPUs.\u003c\/p\u003e\n","brand":"Cisco","offers":[{"title":"Default Title","offer_id":54501088297033,"sku":"UCSC-GPU-M10-V01","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/9f34e764-364f-5e76-92e9-a8882e357356.png?v=1791047860","url":"https:\/\/parts.theserverstore.com\/products\/cisco-nvidia-tesla-m10-32gb-gddr5-quad-gpu-vdi-grid-virtualization-passive-data-center-gpu-server-accelerator-30-1580-01-ucsc-gpu-m10-v01","provider":"The Server Store Parts","version":"1.0","type":"link"}