{"product_id":"hpe-nvidia-quadro-p2200-5-gb-gddr5x-1","title":"HPE NVIDIA Quadro P2200 5 GB GDDR5X","description":"\u003cdiv id=\"icepim-bulletpoints\"\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Quadro P2200 5 GB GDDR5X\u003c\/li\u003e\n\u003cli\u003e5120 x 2880 pixels 160 bit PCI Express x16 3.0\u003c\/li\u003e\n\u003cli\u003eDisplayPorts quantity: 4\u003c\/li\u003e\n\u003cli\u003eDirectX version: 12.0 OpenGL version: 4.6\u003c\/li\u003e\n\u003cli\u003e120 W\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003cdiv id=\"icepim-long-desc\"\u003e\u003cp id=\"ice_long_description\"\u003eDo you require higher performance computation for deep learning, high-performance computing (HPC) workloads, or graphics?\u003cbr\u003e\u003cbr\u003eCompanies are facing greater computational and graphics requirements as large and complex computational models become more commonplace. Traditional CPU technology is no longer able to keep up with these increasing demands. NVIDIA® accelerators for HPE ProLiant servers seamlessly integrate GPU computing with select HPE server families. Designed for power-efficient, high-performance supercomputing, NVIDIA accelerators deliver dramatically higher application acceleration than a CPU-only approach for a range of deep learning, scientific, and commercial applications. The thousands of NVIDIA CUDA® cores of each accelerator allow it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for extremely demanding 3D models.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's new\u003c\/b\u003e\u003cbr\u003e- NVIDIA Quadro P1000 Graphics Accelerator.\u003cbr\u003e- NVIDIA Quadro P2200 Graphics Accelerator.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eIncreased Performance to Solve Problems Faster\u003c\/b\u003e\u003cbr\u003e- The NVIDIA accelerators for HPE ProLiant servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.\u003cbr\u003e- Co-locating the NVIDIA Quadro® or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates.\u003cbr\u003e- These GPUs are specifically designed to enable rich graphics in virtualized environments. Hewlett Packard Enterprise can satisfy NVIDIA GRID software via HPE Complete.\u003cbr\u003e- NVIDIA accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health and temperature, as well as installs and provisions the GPU drivers and CUDA software.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv id=\"icepim-attributes\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eProcessor\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeak floating point performance (single precision)\u003c\/td\u003e\n\u003ctd\u003e3800 Gflops\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA cores\u003c\/td\u003e\n\u003ctd\u003e1280\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum resolution\u003c\/td\u003e\n\u003ctd\u003e5120 x 2880 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics processor\u003c\/td\u003e\n\u003ctd\u003eQuadro P2200\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics processor family\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eMemory\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth (max)\u003c\/td\u003e\n\u003ctd\u003e200 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bus\u003c\/td\u003e\n\u003ctd\u003e160 bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics card memory type\u003c\/td\u003e\n\u003ctd\u003eGDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiscrete graphics card memory\u003c\/td\u003e\n\u003ctd\u003e5 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003ePorts \u0026amp; interfaces\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplayPorts quantity\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface type\u003c\/td\u003e\n\u003ctd\u003ePCI Express x16 3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003ePerformance\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDual Link DVI\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDCP\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL version\u003c\/td\u003e\n\u003ctd\u003e4.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShader model version\u003c\/td\u003e\n\u003ctd\u003e5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDirectX version\u003c\/td\u003e\n\u003ctd\u003e12.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTV tuner integrated\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003eDesign\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eCooling type\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\u003cth colspan=\"2\"\u003ePower\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003ePower consumption (typical)\u003c\/td\u003e\n\u003ctd\u003e120 W\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\u003cdiv id=\"icepim-pdf-urls\"\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/cdn.iceshop.nl\/objects\/mmo_76913249_1576664684_0877_2818.pdf\" target=\"_blank\"\u003eleaflet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/cdn.iceshop.nl\/objects\/mmo_76913249_1576664301_8456_17160.pdf\" target=\"_blank\"\u003eQuickSpecs\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e","brand":"Hewlett Packard Enterprise","offers":[{"title":"Default Title","offer_id":55467706450302,"sku":"R2U55A#0D1","price":743.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0607\/0190\/0965\/files\/2ce7144dfe6a6f17d1877610bc90b057_9f2d016e-f176-4763-906c-2708f946ff17.jpg?v=1756132266","url":"https:\/\/www.backtotheoffice.co.uk\/products\/hpe-nvidia-quadro-p2200-5-gb-gddr5x-1","provider":"Back to the Office","version":"1.0","type":"link"}