{"product_id":"pny-nvidia-tesla-m10-32-gb-gddr5-graphics-card","title":"PNY - NVIDIA 32 GB GDDR5 Tesla M10 graphics card","description":"\u003cdiv id=\"icepim-short-desc\"\u003e32 GB GDDR5, 256 bit x 2, 160 Gb\/s x 2, PCI Express 3.0 x16, 225 W, 992 g\u003c\/div\u003e\u003cdiv id=\"icepim-long-desc\"\u003e\u003cp\u003eGREAT USER EXPERIENCE. HIGH USER DENSITY\u003cbr\u003e\r\n\u003cbr\u003e\r\nIT needs a software-defined approach to virtualization in the data center that delivers scalability, data security, and simplified manageability. However, adoption of desktop virtualization solutions has been limited by their failure to deliver a user experience that’sas good as physical devices.\u003cbr\u003e\r\nThe NVIDIA Tesla M10 GPU accelerator works with NVIDIA GRID™ software to provide the industry’s highest user density for virtualized desktops and applications. It supports 64 desktops per board and 128 desktops per server, giving your business the power to deliver great experiences to all of your employees at an affordable cost.\u003cbr\u003e\r\n\u003cbr\u003e\r\nGRID technology helps you protect your most valuable data, keeping it secure in the data center while providing just the right level of access to users. Keep your corporate intellectual property safe while also boosting productivity across the enterprise. NVIDIA GRID has three different editions that let you assign the right level of resources to each of your users; Virtual PC, Virtual Workstation, and Virtual Workstation Extended. When you create a new desktop, you simply assign a license based on the user profile that will be accessing it. IT managers can easily assign the optimal amount of graphics memory and deliver a customized graphics profile to meet the specific needs of each user. Every virtual desktop has dedicated graphics memory, just like they would at their desk, so they always have the resources they need to launch and run their applications. GRID enables up to sixteen users to share each physical GPU, so the graphics resources of the available GPUs can be assigned to virtual machines in a balanced way.\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\u003eCUDA\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics processor\u003c\/td\u003e\n\u003ctd\u003eTesla M10\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 bus\u003c\/td\u003e\n\u003ctd\u003e256 bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics card memory type\u003c\/td\u003e\n\u003ctd\u003eGDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiscrete graphics card memory\u003c\/td\u003e\n\u003ctd\u003e32 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\u003ctr\u003e\n\u003ctd\u003eInterface type\u003c\/td\u003e\n\u003ctd\u003ePCI Express x16 3.0\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\"\u003eDesign\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertification\u003c\/td\u003e\n\u003ctd\u003eCE, REACH\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct colour\u003c\/td\u003e\n\u003ctd\u003eBlack, Green\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling type\u003c\/td\u003e\n\u003ctd\u003ePassive\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\"\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\u003e225 W\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\"\u003eTechnical details\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eCompliance certificates\u003c\/td\u003e\n\u003ctd\u003eRoHS\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\"\u003eWeight \u0026amp; dimensions\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeight\u003c\/td\u003e\n\u003ctd\u003e111.2 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLength\u003c\/td\u003e\n\u003ctd\u003e267.7 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e992 g\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\"\u003ePackaging data\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eManual\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Shopora","offers":[{"title":"Default Title","offer_id":48442254852355,"sku":"30256845","price":2496.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0776\/5593\/3187\/files\/41ff3030-2e8c-4b02-abee-f5b2caecc83e.jpg?v=1781991185","url":"https:\/\/shopora.site\/products\/pny-nvidia-tesla-m10-32-gb-gddr5-graphics-card","provider":"Shopora","version":"1.0","type":"link"}