{"product_id":"amd-instinct-mi50-radeon-instinct-mi50-32-gb-high-bandwidth-memory-2-hbm2-100-506194","title":"AMD Instinct MI50 Radeon Instinct MI50 32 GB High Bandwidth Memory 2 (HBM2)","description":"\u003cstyle\u003etable.generic tr th {background: #eee;}\u003c\/style\u003e32 GB, HBM2, 1024 GB\/s, PCIe 4.0 x16\u003ch2\u003eDescription\u003c\/h2\u003eThe Radeon Instinct™ MI50 compute card is designed to deliver high levels of performance for deep learning, high performance computing (HPC), cloud computing, and rendering systems. This new accelerator is designed with optimized deep learning operations, exceptional double precision performance, and hyper-fast HBM2 memory delivering 1 TB\/s memory bandwidth speeds.\u003cbr\u003e\u003cbr\u003eScale your datacenter server designs with AMD’s Infinity Fabric™ Link technology that can be used to directly connect up to 2 GPU hives of 4 GPUs in a single server at up to 5.75x the speed of PCIe® 3.01.\u003cbr\u003e\u003cbr\u003eQuickly achieve reliable and accurate results in large-scale system deployments with the Radeon Instinct™ MI50 which is equipped with full-chip ECC2 and RAS capabilities3.\u003cbr\u003e\u003cbr\u003eCombine this finely balanced and ultra-scalable solution with our ROCm open ecosystem that includes Radeon Instinct optimized MIOpen libraries supporting frameworks like TensorFlow PyTorch and Caffe 2, and you have a solution ready for the next era of compute and machine intelligence.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eOptimized for Deep Learning\u003c\/b\u003e\u003cbr\u003eThe Radeon Instinct™ MI50 server accelerator designed on the world’s first 7nm FinFET technology process brings customers a full-feature set based on the industry newest technologies. The MI50 is AMD’s workhorse accelerator offering that is ideal for large scale deep learning. Delivering 26.5 TFLOPS of native half-precision (FP16) or 13.3 TFLOPS single-precision (FP32) peak floating point performance and INT8 support and combined with 16GB of high-bandwidth HBM2 ECC memory2, the Radeon Instinct™ MI50 brings customers the compute and memory performance needed for enterprise-class, mid-range compute capable of training complex neural networks for a variety of demanding machine deep learning applications in a cost-effective design.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAccuracy and Speed Now Go Hand-in-Hand\u003c\/b\u003e\u003cbr\u003eFor High Performance Compute (HPC) workloads, the Radeon Instinct™ MI50 accelerator delivers incredible double precision speeds of up to 6.6 TFLOPS, allowing scientists and researches across the globe to more efficiently process HPC parallel codes across several industries including life sciences, energy, finance, automotive and aerospace, academics, government and more.\u003cbr\u003e\u003cbr\u003eAMD’s next-generation HPC solutions are designed to deliver optimal compute density and performance per node with the efficiency required to handle today’s massively parallel data-intensive codes; as well as, to provide a powerful, flexible solution for general purpose HPC deployments. The ROCm software platform brings a scalable HPC-class solution that provides fully open-source Linux drivers, HCC compilers, tools and libraries to give scientists and researchers system control down to the metal.\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable class=\"generic\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eProcessor\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics processor family\u003c\/td\u003e\n\u003ctd\u003eAMD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStream processors\u003c\/td\u003e\n\u003ctd\u003e3840\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics processor\u003c\/td\u003e\n\u003ctd\u003eRadeon Instinct MI50\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLithography\u003c\/td\u003e\n\u003ctd\u003e7 nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eMemory\u003c\/th\u003e\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\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth (max)\u003c\/td\u003e\n\u003ctd\u003e1024 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bus\u003c\/td\u003e\n\u003ctd\u003e4096 bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics card memory type\u003c\/td\u003e\n\u003ctd\u003eHigh Bandwidth Memory 2 (HBM2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003ePorts \u0026amp; interfaces\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface type\u003c\/td\u003e\n\u003ctd\u003ePCI Express x16 4.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eVideo\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenCL version\u003c\/td\u003e\n\u003ctd\u003e2.0\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\u003cth colspan=\"2\" class=\"text-left\"\u003ePerformance\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenCL version\u003c\/td\u003e\n\u003ctd\u003e2.0\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\u003cth colspan=\"2\" class=\"text-left\"\u003eDesign\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling type\u003c\/td\u003e\n\u003ctd\u003ePassive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct colour\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eSoftware\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLinux operating systems supported\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003ePower\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupplementary power connectors\u003c\/td\u003e\n\u003ctd\u003e2x 8-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower consumption (typical)\u003c\/td\u003e\n\u003ctd\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eTechnical details\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling type\u003c\/td\u003e\n\u003ctd\u003ePassive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct colour\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHarmonized System (HS) code\u003c\/td\u003e\n\u003ctd\u003e84733020\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eSystem requirements\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLinux operating systems supported\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eWeight \u0026amp; dimensions\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLength\u003c\/td\u003e\n\u003ctd\u003e267 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eLogistics data\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHarmonized System (HS) code\u003c\/td\u003e\n\u003ctd\u003e84733020\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e","brand":"AMD","offers":[{"title":"Default Title","offer_id":58911515181404,"sku":"100-506194","price":973.89,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0962\/1484\/3740\/files\/iyjnjMWd3kOrdszGlazDiA.c-m.jpg?v=1788335947","url":"https:\/\/multiplenetworks.co.uk\/products\/amd-instinct-mi50-radeon-instinct-mi50-32-gb-high-bandwidth-memory-2-hbm2-100-506194","provider":"Multiple Networks","version":"1.0","type":"link"}