{"id":12963,"date":"2020-05-14T20:00:20","date_gmt":"2020-05-14T19:00:20","guid":{"rendered":"https:\/\/www.mcomputers.cz\/?p=12963"},"modified":"2020-05-15T16:45:02","modified_gmt":"2020-05-15T15:45:02","slug":"nvidia-ampere","status":"publish","type":"post","link":"https:\/\/mcomputers.cz\/en\/2020\/05\/14\/nvidia-ampere\/","title":{"rendered":"NVIDIA Ampere announcement"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-2fgpboy-e214401561806df9d257f9b7685924b7\">\n#top .av-special-heading.av-2fgpboy-e214401561806df9d257f9b7685924b7{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-2fgpboy-e214401561806df9d257f9b7685924b7 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-2fgpboy-e214401561806df9d257f9b7685924b7 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-2fgpboy-e214401561806df9d257f9b7685924b7 av-special-heading-h3 meta-heading blockquote modern-quote modern-centered  avia-builder-el-0  el_before_av_three_fifth  avia-builder-el-first '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >On May 14, 2020, NVIDIA Founder and CEO Jensen Huang presented a new NVIDIA Ampere accelerator architecture during the GTC conference to address the most demanding tasks in the areas of HPC (High Performance Computing) or artificial intelligence. We will present a summary of the most interesting details and news in the following text.<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n<hr \/>\n<h3>From general purpose GPUs to AI supercomputers<\/h3>\n<div  class='flex_column av-2q00l76-07dc3e1efa93d8e1d04f0c40f07d1684 av_three_fifth  avia-builder-el-1  el_after_av_heading  el_before_av_two_fifth  first flex_column_div  '     ><p>NVIDIA has always been synonymous with high-performance graphics cards (GPU). In 2007, they introduced the CUDA programming environment for general purpose graphic cards (GP GPU), making it a major player in accelerated computing for HPC (High Performance Computing) applications, data analysis, and more recently algorithms for artificial intelligence (AI). Since that NVIDIA has introduced a range of hardware and software technologies to further accelerate computing, and its accelerators have become the main computing power of the world&#8217;s most powerful supercomputers &#8211; IBM&#8217;s <a href=\"https:\/\/www.top500.org\/system\/179397\">#1 Summit<\/a> and <a href=\"https:\/\/www.top500.org\/system\/179398\">#2 Sierra<\/a> are built on NVIDIA Tesla V100 chips.<\/p><\/div>\n<div  class='flex_column av-23fg6s2-4ed42632e173116689b6de3fc437f154 av_two_fifth  avia-builder-el-2  el_after_av_three_fifth  el_before_av_one_full  flex_column_div  '     ><h3><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-12729 alignnone\" src=\"http:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/Jensen_Huang.jpg\" alt=\"Jensen Huang\" width=\"437\" height=\"291\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/Jensen_Huang.jpg 1200w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/Jensen_Huang-300x200.jpg 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/Jensen_Huang-1030x687.jpg 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/Jensen_Huang-768x512.jpg 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/Jensen_Huang-705x470.jpg 705w\" sizes=\"auto, (max-width: 437px) 100vw, 437px\" \/><\/h3><\/div>\n<div  class='flex_column av-1fy4y36-e674248f2fb9160a049084853b648f6d av_one_full  avia-builder-el-3  el_after_av_two_fifth  el_before_av_one_half  first flex_column_div  '     ><h3>GTC 2020<\/h3>\n<p>The GPU Technology Conference (GTC) is the world&#8217;s largest conference on graphics cards, accelerated computing and, in recent years, artificial intelligence. Regularly, the greatest interest is in the Jensen Huang\u2019s keynote, who in his typical black leather jacket presents news and trends in the areas in which NVIDIA offers its products. It has been three years since the announcement of the breakthrough accelerator NVIDIA Tesla V100, so this year we were eagerly awaited what they had baked in NVIDIA. Jensen&#8217;s presentation begins traditionally &#8230; I AM AI.<\/p><\/div>\n<p><div  class='flex_column av-2agazea-79f6fa80cdec8dfd535ee1298dd183af av_one_half  avia-builder-el-4  el_after_av_one_full  el_before_av_one_half  first flex_column_div  column-top-margin'     ><div  class='avia-video av-1kt23ma-ab56732a665dc3d345f6b14bf2530b79 avia-video-16-9 av-no-preview-image avia-video-load-always av-lazyload-immediate av-lazyload-video-embed'  itemprop=\"video\" itemtype=\"https:\/\/schema.org\/VideoObject\"  data-original_url='https:\/\/youtu.be\/So7TNRhIYJ8'><script type='text\/html' class='av-video-tmpl'><div class='avia-iframe-wrap'><iframe loading=\"lazy\" title=\"What\u2019s Jensen been cooking?\" width=\"1500\" height=\"844\" src=\"https:\/\/www.youtube.com\/embed\/So7TNRhIYJ8?feature=oembed&autoplay=0&loop=0&controls=1&mute=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/script><div class='av-click-to-play-overlay'><div class=\"avia_playpause_icon\"><\/div><\/div><\/div><\/div><div  class='flex_column av-1dm0eb6-e99e38c612675ecb6b13f7dc7e732b0a av_one_half  avia-builder-el-6  el_after_av_one_half  el_before_av_one_full  flex_column_div  column-top-margin'     ><div  class='avia-video av-rkqfw2-e53a81237369104248f431f50484419e avia-video-16-9 av-no-preview-image avia-video-load-always av-lazyload-immediate av-lazyload-video-embed'  itemprop=\"video\" itemtype=\"https:\/\/schema.org\/VideoObject\"  data-original_url='https:\/\/youtu.be\/bOf2S7OzFEg'><script type='text\/html' class='av-video-tmpl'><div class='avia-iframe-wrap'><iframe loading=\"lazy\" title=\"NVIDIA GTC 2020 Keynote Part 1: CEO Jensen Huang Introduces Data-Center-Scale Accelerated Computing\" width=\"1500\" height=\"844\" src=\"https:\/\/www.youtube.com\/embed\/bOf2S7OzFEg?feature=oembed&autoplay=0&loop=0&controls=1&mute=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/script><div class='av-click-to-play-overlay'><div class=\"avia_playpause_icon\"><\/div><\/div><\/div><\/div><\/p>\n<div  class='flex_column av-4dpzyq-58fc570f8f3cd199677b035699482ad1 av_one_full  avia-builder-el-8  el_after_av_one_half  el_before_av_three_fifth  first flex_column_div  column-top-margin'     ><h2>NVIDIA Ampere<\/h2>\n<p>After watching the video from Jensen&#8217;s kitchen, it is clear that the biggest news of this year&#8217;s presentation will be the GPU architecture of NVIDIA Ampere, the NVIDIA A100 accelerator, which is built on this architecture, and the DGX A100 system. DGX A100 is a reference architecture of a tuned system for AI and HPC calculations, equipped with eight NVIDIA A100 accelerators. In his video, Jensen takes the system board with these eight GPU accelerators out of the oven and introduces it as the most powerful accelerator in the world.<\/p><\/div>\n<div  class='flex_column av-1hevyaa-6d92a49f52bd74dd2a785c5c37afce5d av_three_fifth  avia-builder-el-9  el_after_av_one_full  el_before_av_two_fifth  first flex_column_div  column-top-margin'     ><h3>NVIDIA A100<\/h3>\n<p>The NVIDIA A100 accelerator is manufactured using 7 nm technology in the TSMC factory. It contains over 54 billion transistors on an area of 826 mm2. The main technological innovations of the new chip include:<\/p>\n<ul>\n<li>Tensor cores (3rd generation) optimized for HPC calculations and AI<\/li>\n<li>40 GB fast HBM2 with 1.6 TB\/s throughput, 40 MB L2 cache<\/li>\n<li>Multi-Instance GPU (MIG) for multi-user work with a single card<\/li>\n<li>faster NVLINK for interconnection of multiple cards (600 GB\/s per card)<\/li>\n<li>PCIe gen4 bus for connection to CPU and network cards (31.5 GB\/s)<\/li>\n<\/ul>\n<p>Improvements of Tensor cores in FP64 (double precission) computations greatly helps computational performance in traditional HPC computations and simulations, while support for TF32 and BF16 accelerates training and subsequent application (inference) of neural networks. The maximum theoretical performance for the individual accuracies of the calculation is showed in the table on the right. The stated values take into account the Boost frequency of the computational cores. NVIDIA also introduced Fine grained structured sparsity for working with deep neural networks. Thanks to it, it is possible to double the stated performance values!<\/p><\/div>\n<div  class='flex_column av-1bvm642-d44264b3587ac1a1bcb9a7dcad67dea4 av_two_fifth  avia-builder-el-10  el_after_av_three_fifth  el_before_av_one_full  flex_column_div  column-top-margin'     ><div  class='av_promobox av-qse7hu-09315785b2f6b351eb8d72003d198c25 avia-button-no  avia-builder-el-11  avia-builder-el-no-sibling '><div class='avia-promocontent'><\/p>\n<table class=\"avia-table avia-data-table avia-table-2 avia-builder-el-31 el_after_av_textblock el_before_av_textblock avia_pricing_default\" style=\"height: 428px;\" width=\"240\">\n<tbody>\n<tr>\n<th width=\"120\">ACCURANCY<\/th>\n<th style=\"text-align: center;\" width=\"120\">PERFORMANCE<\/th>\n<\/tr>\n<tr>\n<td width=\"120\">FP64<\/td>\n<td style=\"text-align: right;\" width=\"120\">9,7 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">FP64 Tensor Core<\/td>\n<td style=\"text-align: right;\" width=\"120\">19,5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">FP32<\/td>\n<td style=\"text-align: right;\" width=\"120\">19,5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">FP16<\/td>\n<td style=\"text-align: right;\" width=\"120\">78 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">BF16<\/td>\n<td style=\"text-align: right;\" width=\"120\">39 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">TF32 Tensor Core<\/td>\n<td style=\"text-align: right;\" width=\"120\">156 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">FP16 Tensor Core<\/td>\n<td style=\"text-align: right;\" width=\"120\">312 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">BF16 Tensor Core<\/td>\n<td style=\"text-align: right;\" width=\"120\">312 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">INT8 Tensor Core<\/td>\n<td style=\"text-align: right;\" width=\"120\">624 TOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"120\">INT4 Tensor Core<\/td>\n<td style=\"text-align: right;\" width=\"120\">1 248 TOPS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\n<\/div><\/div><\/div>\n<div  class='flex_column av-mpmuvm-bb85168eed0e739dc9aa3b46376abcc7 av_one_full  avia-builder-el-12  el_after_av_two_fifth  el_before_av_one_half  first flex_column_div  '     ><h4>Comparison of NVIDIA A100 with existing accelerators<\/h4>\n<p>In general, the NVIDIA A100 accelerator is the most powerful hardware on which demanding computing tasks can be processed.<\/p>\n<table class=\"avia-table avia-data-table avia-table-2 avia-builder-el-31 el_after_av_textblock el_before_av_textblock avia_pricing_default \">\n<tbody>\n<tr>\n<th width=\"174\">ParametEr<\/th>\n<th style=\"text-align: center;\">Tesla T4<\/th>\n<th style=\"text-align: center;\">Tesla V100 SXM2<\/th>\n<th style=\"text-align: center;\">A100 SXM4<\/th>\n<th style=\"text-align: center;\">DGX-1<\/th>\n<th style=\"text-align: center;\">DGX-2<\/th>\n<th style=\"text-align: center;\">DGX A100<\/th>\n<\/tr>\n<tr>\n<td width=\"174\">Architecture<\/td>\n<td class=\"avia-center-col\">Turing<\/td>\n<td class=\"avia-center-col\">Volta<\/td>\n<td class=\"avia-center-col\">Ampere<\/td>\n<td class=\"avia-center-col\">Volta<\/td>\n<td class=\"avia-center-col\">Volta<\/td>\n<td class=\"avia-center-col\">Ampere<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Nr. of CUDA Cores<\/td>\n<td class=\"avia-center-col\">2 560<\/td>\n<td class=\"avia-center-col\">5 120<\/td>\n<td class=\"avia-center-col\">6 912<\/td>\n<td class=\"avia-center-col\">40 960<\/td>\n<td class=\"avia-center-col\">81 920<\/td>\n<td class=\"avia-center-col\">55 296<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Nr. of Tensor Cores<\/td>\n<td class=\"avia-center-col\">320<\/td>\n<td class=\"avia-center-col\">640<\/td>\n<td class=\"avia-center-col\">432<\/td>\n<td class=\"avia-center-col\">5 120<\/td>\n<td class=\"avia-center-col\">10 240<\/td>\n<td class=\"avia-center-col\">3 456<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">FP64 Performance<\/td>\n<td class=\"avia-center-col\">0,25 TFLOPS<\/td>\n<td class=\"avia-center-col\">7,8 TFLOPS<\/td>\n<td class=\"avia-center-col\">9,7 TFLOPS<\/td>\n<td class=\"avia-center-col\">62 TFLOPS<\/td>\n<td class=\"avia-center-col\">125 TFLOPS<\/td>\n<td class=\"avia-center-col\">77,6 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Tensor (FP64) Performance<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">19,5 TFLOPS<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">156 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">FP32 Performance<\/td>\n<td class=\"avia-center-col\">8,1 TFLOPS<\/td>\n<td class=\"avia-center-col\">15,7 TFLOPS<\/td>\n<td class=\"avia-center-col\">19,5 TFLOPS<\/td>\n<td class=\"avia-center-col\">125 TFLOPS<\/td>\n<td class=\"avia-center-col\">250 TFLOPS<\/td>\n<td class=\"avia-center-col\">156 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Tensor (TF32) Performance<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">156 TFLOPS<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">&#8212;<\/td>\n<td class=\"avia-center-col\">1,2 PFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Tensor (FP16) Performance<\/td>\n<td class=\"avia-center-col\">65 TFLOPS<\/td>\n<td class=\"avia-center-col\">125 TFLOPS<\/td>\n<td class=\"avia-center-col\">312 TFLOPS<\/td>\n<td class=\"avia-center-col\">1 PFLOPS<\/td>\n<td class=\"avia-center-col\">2 PFLOPS<\/td>\n<td class=\"avia-center-col\">2,5 PFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">GPU Memory<\/td>\n<td class=\"avia-center-col\">16 GB<\/td>\n<td class=\"avia-center-col\">32 GB<\/td>\n<td class=\"avia-center-col\">40 GB<\/td>\n<td class=\"avia-center-col\">256 GB<\/td>\n<td class=\"avia-center-col\">512 GB<\/td>\n<td class=\"avia-center-col\">320 GB<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Memory Technology<\/td>\n<td class=\"avia-center-col\">GDDR6<\/td>\n<td class=\"avia-center-col\">HMB2<\/td>\n<td class=\"avia-center-col\">HMB2<\/td>\n<td class=\"avia-center-col\">HMB2<\/td>\n<td class=\"avia-center-col\">HMB2<\/td>\n<td class=\"avia-center-col\">HBM2<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Memory Throughput<\/td>\n<td class=\"avia-center-col\">300 GB\/s<\/td>\n<td class=\"avia-center-col\">900 GB\/s<\/td>\n<td class=\"avia-center-col\">1 ,5 TB\/s<\/td>\n<td class=\"avia-center-col\">900 GB\/s<\/td>\n<td class=\"avia-center-col\">900 GB\/s<\/td>\n<td class=\"avia-center-col\">1,5 TB\/s<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">GPU card interconnection<\/td>\n<td class=\"avia-center-col\">none<\/td>\n<td class=\"avia-center-col\">NVLink<\/td>\n<td class=\"avia-center-col\">NVLink3<\/td>\n<td class=\"avia-center-col\">NVLink, hypercube topologie<\/td>\n<td class=\"avia-center-col\">NVSwitch, non-blocking<\/td>\n<td class=\"avia-center-col\">NVSwitch3, non-blocking<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Maximum power consumption<\/td>\n<td class=\"avia-center-col\">70 W<\/td>\n<td class=\"avia-center-col\">300 W<\/td>\n<td class=\"avia-center-col\">400 W<\/td>\n<td class=\"avia-center-col\">3 500 W<\/td>\n<td class=\"avia-center-col\">10 kW<\/td>\n<td class=\"avia-center-col\">6,6 kW<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">Form Factor<\/td>\n<td class=\"avia-center-col\">PCIe card<\/td>\n<td class=\"avia-center-col\">SXM2 card<\/td>\n<td class=\"avia-center-col\">SXM4 card<\/td>\n<td class=\"avia-center-col\">rack, 3U<\/td>\n<td class=\"avia-center-col\">rack, 10U<\/td>\n<td class=\"avia-center-col\">rack<\/td>\n<\/tr>\n<tr>\n<td width=\"174\">On the Market since<\/td>\n<td class=\"avia-center-col\">2018<\/td>\n<td class=\"avia-center-col\">2017<\/td>\n<td class=\"avia-center-col\">2020<\/td>\n<td class=\"avia-center-col\">2017<\/td>\n<td class=\"avia-center-col\">2018<\/td>\n<td class=\"avia-center-col\">2020<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>We reviewed the current CPU platforms (Intel, AMD, POWER and ARM) in the March <a href=\"http:\/\/mcomputers.cz\/2020\/03\/01\/porovnani-serverovych-procesoru-intel-amd-ibm-a-arm\/\">Comparsion of Server Processors<\/a>. We are also preparing a comparison of accelerators for HPC and AI.<\/p><\/div>\n<div  class='flex_column av-30xutv6-e069c40343cdd96f789bf5779c55cec2 av_one_half  avia-builder-el-13  el_after_av_one_full  el_before_av_one_half  first flex_column_div  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-2j8t0ky-2fc6fc2354df171705c53358458b16ce\">\n.avia-image-container.av-2j8t0ky-2fc6fc2354df171705c53358458b16ce img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-2j8t0ky-2fc6fc2354df171705c53358458b16ce .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-2j8t0ky-2fc6fc2354df171705c53358458b16ce av-styling- av-img-linked avia-align-center  avia-builder-el-14  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><a href=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-1030x587.png\" data-srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-1030x587.png 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-300x171.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-768x438.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-705x402.png 705w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration.png 1280w\" data-sizes=\"(max-width: 1030px) 100vw, 1030px\" class='avia_image '  aria-label='A100_AI_acceleration'><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-12925 avia-img-lazy-loading-not-12925 avia_image ' src=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration.png\" alt='A100 AI acceleration' title='A100_AI_acceleration'  height=\"730\" width=\"1280\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration.png 1280w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-300x171.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-1030x587.png 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-768x438.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_AI_acceleration-705x402.png 705w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><\/a><\/div><\/div><\/div><\/div>\n<div  class='flex_column av-28b0x2q-4ed8db480459557eae74341916e18b96 av_one_half  avia-builder-el-15  el_after_av_one_half  el_before_av_one_full  flex_column_div  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1fz5dte-7d73d641d3deb746261b48ea55713818\">\n.avia-image-container.av-1fz5dte-7d73d641d3deb746261b48ea55713818 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-1fz5dte-7d73d641d3deb746261b48ea55713818 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-1fz5dte-7d73d641d3deb746261b48ea55713818 av-styling- av-img-linked avia-align-center  avia-builder-el-16  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><a href=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-1030x591.png\" data-srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-1030x591.png 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-300x172.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-768x440.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-705x404.png 705w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration.png 1280w\" data-sizes=\"(max-width: 1030px) 100vw, 1030px\" class='avia_image '  aria-label='A100_HPC_acceleration'><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-12927 avia-img-lazy-loading-not-12927 avia_image ' src=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration.png\" alt='A100 HPC acceleration' title='A100_HPC_acceleration'  height=\"734\" width=\"1280\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration.png 1280w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-300x172.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-1030x591.png 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-768x440.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/A100_HPC_acceleration-705x404.png 705w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><\/a><\/div><\/div><\/div><\/div>\n<div  class='flex_column av-14vh3f6-370dcc6f413b18fdf421abd5d4ca7eaa av_one_full  avia-builder-el-17  el_after_av_one_half  el_before_av_section  avia-builder-el-last  flex_column_div  column-top-margin'     ><h3>NVIDIA DGX A100<\/h3>\n<p>When announcing the previous generation of Tesla accelerators, NVIDIA also introduced reference systems optimized for HPC and AI calculations &#8211; <a href=\"https:\/\/mcomputers.cz\/en\/nvidia\/dgx-systems\/\">NVIDIA DGX<\/a>. With the introduction of the NVIDIA A100 accelerator, a new DGX system &#8211; the NVIDIA DGX A100 &#8211; was also introduced.<\/p>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-vj11gy-e729101d1f40a20a9af7b332fcab2985\">\n.avia-image-container.av-vj11gy-e729101d1f40a20a9af7b332fcab2985 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-vj11gy-e729101d1f40a20a9af7b332fcab2985 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-vj11gy-e729101d1f40a20a9af7b332fcab2985 av-styling- av-img-linked avia-align-center  avia-builder-el-18  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><a href=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1030x608.png\" data-srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1030x608.png 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-300x177.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-768x454.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1536x907.png 1536w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1500x886.png 1500w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-705x416.png 705w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view.png 1600w\" data-sizes=\"(max-width: 1030px) 100vw, 1030px\" class='avia_image '  aria-label='dgx-a100-exploded-view'><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-12931 avia-img-lazy-loading-not-12931 avia_image ' src=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view.png\" alt='NVIDIA DGX A100' title='dgx-a100-exploded-view'  height=\"945\" width=\"1600\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view.png 1600w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-300x177.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1030x608.png 1030w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-768x454.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1536x907.png 1536w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-1500x886.png 1500w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2020\/05\/dgx-a100-exploded-view-705x416.png 705w\" sizes=\"(max-width: 1600px) 100vw, 1600px\" \/><\/a><\/div><\/div><\/div>\n<p>Along with the DGX A100 system, NVIDIA also introduced the HGX A100 system, a system board equipped with four or eight NVIDIA A100 accelerators that OEM and ODM server manufacturers integrate into their systems. HPE, Gigabyte and Supermicro should be among the first manufacturers of these systems.<\/p><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-17n60gn-39bed72245adcbda3f3cb4694cf7e727\">\n.avia-section.av-17n60gn-39bed72245adcbda3f3cb4694cf7e727 .av-parallax .av-parallax-inner{\nbackground-color:#d71923;\nbackground-image:url(https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/08\/house-wire-model-fade-white-1500x1085.png);\nbackground-repeat:no-repeat;\nbackground-position:100% 50%;\nbackground-attachment:scroll;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-17n60gn-39bed72245adcbda3f3cb4694cf7e727 main_color avia-section-default avia-no-border-styling  avia-builder-el-19  el_after_av_one_full  el_before_av_one_half  avia-full-stretch av-parallax-section avia-bg-style-parallax container_wrap fullsize'  data-section-bg-repeat='stretch'><div class='av-parallax' data-avia-parallax-ratio='0.3' ><div class='av-parallax-inner main_color avia-full-stretch'><\/div><\/div><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-12963'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-15taedj-4f76fe637e6534013c7b8ea6f690dfc7 sc-av_three_fourth av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-15taedj-4f76fe637e6534013c7b8ea6f690dfc7\">\n.flex_column.av-15taedj-4f76fe637e6534013c7b8ea6f690dfc7{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-15taedj-4f76fe637e6534013c7b8ea6f690dfc7 av_three_fourth  avia-builder-el-20  el_before_av_one_fourth  avia-builder-el-first  first flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-js85uejr-72e9a572bb40c4b246e71a3273099703\">\n#top .av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703{\npadding-bottom:0;\ncolor:#ffffff;\nfont-size:25px;\n}\nbody .av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n#top #wrap_all .av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703 .av-special-heading-tag{\nfont-size:25px;\n}\n.av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703 .special-heading-inner-border{\nborder-color:#ffffff;\n}\n.av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703 .av-subheading{\nfont-size:15px;\n}\n\n@media only screen and (min-width: 480px) and (max-width: 767px){ \n#top #wrap_all .av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703 .av-special-heading-tag{\nfont-size:0.8em;\n}\n}\n\n@media only screen and (max-width: 479px){ \n#top #wrap_all .av-special-heading.av-js85uejr-72e9a572bb40c4b246e71a3273099703 .av-special-heading-tag{\nfont-size:0.8em;\n}\n}\n<\/style>\n<div  class='av-special-heading av-js85uejr-72e9a572bb40c4b246e71a3273099703 av-special-heading-h3 custom-color-heading blockquote modern-quote  avia-builder-el-21  avia-builder-el-no-sibling  av-inherit-size'><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >NVIDIA offers for both Tesla cards and DGX systems special pricing promotions and programs for specific projects, and also supports educational institutions (EDU) or start-ups.<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div><div class='av-flex-placeholder'><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-3w8lfr-81444c61d66241ae6cf95db8cc90609e\">\n.flex_column.av-3w8lfr-81444c61d66241ae6cf95db8cc90609e{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-3w8lfr-81444c61d66241ae6cf95db8cc90609e av_one_fourth  avia-builder-el-22  el_after_av_three_fourth  avia-builder-el-last  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  '     ><div  class='avia-button-wrap av-10wh353-759130b87238aa91ef009d7afa87708c-wrap avia-button-right  avia-builder-el-23  avia-builder-el-no-sibling '><a href='&#109;&#x61;i&#108;&#x74;o&#58;&#x6f;b&#99;&#x68;o&#100;&#x40;m&#99;&#x6f;m&#112;&#x75;t&#101;&#x72;s&#46;&#x63;z' class='avia-button av-10wh353-759130b87238aa91ef009d7afa87708c av-link-btn avia-icon_select-no avia-size-large avia-position-right avia-color-light' target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Get an offer\"><span class='avia_iconbox_title' >Get an offer<\/span><\/a><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-12963'><div class='entry-content-wrapper clearfix'>\n<h3>More news from NVIDIA<\/h3>\n<p><div  class='flex_column av-1rukh02-82d5ebee7616003c1fe175f5bed7264f av_one_half  avia-builder-el-24  el_after_av_section  el_before_av_one_half  avia-builder-el-first  first flex_column_div  '     ><p>And this is just a brief list of the main innovations that Jensen has introduced in his kitchen. Individual parts of the presentation can be viewed on the <a href=\"https:\/\/www.youtube.com\/nvidia\">NVIDIA youtube<\/a> channel:<\/p><\/div><div  class='flex_column av-174brde-035fec43a469fc784e127e65e88297cd av_one_half  avia-builder-el-25  el_after_av_one_half  el_before_av_one_third  flex_column_div  '     ><div  class='avia-video av-qmuvki-0544c41d2f050d0b2e6b209710cf1213 avia-video-16-9 av-no-preview-image avia-video-load-always av-lazyload-immediate av-lazyload-video-embed'  itemprop=\"video\" itemtype=\"https:\/\/schema.org\/VideoObject\"  data-original_url='https:\/\/youtu.be\/bOf2S7OzFEg'><script type='text\/html' class='av-video-tmpl'><div class='avia-iframe-wrap'><iframe loading=\"lazy\" title=\"NVIDIA GTC 2020 Keynote Part 1: CEO Jensen Huang Introduces Data-Center-Scale Accelerated Computing\" width=\"1500\" height=\"844\" src=\"https:\/\/www.youtube.com\/embed\/bOf2S7OzFEg?feature=oembed&autoplay=0&loop=0&controls=1&mute=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/script><div class='av-click-to-play-overlay'><div class=\"avia_playpause_icon\"><\/div><\/div><\/div><\/div><\/p>\n<h2>Webinars<\/h2>\n<p>We have prepared for you a series of webinars on the topic of accelerated calculations and especially news from the GTC conference and presentation of Jensen Huang.<\/p>\n<ul>\n<li>May 20, 2020, 3:00 PM: <a href=\"https:\/\/us02web.zoom.us\/webinar\/register\/1415893076723\/WN_rKdhahe2T5emkeqfBrFeaw\">Introduction to Accelerated Computing<\/a><\/li>\n<li>May 21, 2020, 9:00: <a href=\"https:\/\/us02web.zoom.us\/webinar\/register\/2315893031146\/WN_B4CPXtfmQ72pEjp7kf8sKA\">NVIDIA News, Tesla Ampere Architecture<\/a><\/li>\n<li>May 27, 2020, 3:00 PM: <a href=\"https:\/\/us02web.zoom.us\/webinar\/register\/2315893031146\/WN_B4CPXtfmQ72pEjp7kf8sKA\">NVIDIA News, Tesla Ampere Architecture<\/a> (same content as May 21)<\/li>\n<li>June 3, 2020, 3:00 PM: <a href=\"https:\/\/us02web.zoom.us\/webinar\/register\/9415893086219\/WN_YkLy2RATReSIRSnTnR6DUA\">NVIDIA GPU Cloud (NGC) in practice<\/a><\/li>\n<\/ul>\n<p>The content and detailed description of individual webinars can be found in the <a href=\"http:\/\/mcomputers.cz\/skoleni-webinare\/\">Training and webinars<\/a>.<\/p>\n<h2>Courses<\/h2>\n<p><div class='flex_column_table av-qqkagn-e48070ad489828a77da9a2564a0515e4 sc-av_one_third av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-qqkagn-e48070ad489828a77da9a2564a0515e4\">\n.flex_column.av-qqkagn-e48070ad489828a77da9a2564a0515e4{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-qqkagn-e48070ad489828a77da9a2564a0515e4 av_one_third  avia-builder-el-27  el_after_av_one_half  el_before_av_two_third  first flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-q92kpj-b8c53444607409615ff4361387d13745\">\n.avia-image-container.av-q92kpj-b8c53444607409615ff4361387d13745 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-q92kpj-b8c53444607409615ff4361387d13745 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-q92kpj-b8c53444607409615ff4361387d13745 av-styling- avia-align-center  avia-builder-el-28  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-8510 avia-img-lazy-loading-not-8510 avia_image ' src=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/11\/deep-learning-education-logo-300x106.png\" alt='NVIDIA deep learning institute logo' title='deep-learning-education-logo'  height=\"106\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/11\/deep-learning-education-logo-300x106.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/11\/deep-learning-education-logo.png 407w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div><\/div><div class='av-flex-placeholder'><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-omtybb-f16392a2a13e918258dc87345563a3b0\">\n.flex_column.av-omtybb-f16392a2a13e918258dc87345563a3b0{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-omtybb-f16392a2a13e918258dc87345563a3b0 av_two_third  avia-builder-el-29  el_after_av_one_third  el_before_av_three_fourth  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-mwjspz-a6ae62190b68b4e702030a96def508ec '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><div class=\"template-page content av-content-full alpha units\">\n<div class=\"post-entry post-entry-type-page post-entry-6693\">\n<div class=\"entry-content-wrapper clearfix\">\n<section class=\"av_textblock_section \">\n<div class=\"avia_textblock \">\n<h2><a href=\"http:\/\/mcomputers.cz\/nvidia-dgx-systemy\/nvidia-dli\/\">NVIDIA Deep Learning Institute<\/a><\/h2>\n<p>NVIDIA Deep Learning Institute (DLI) offers online and hands-on training for developers, data analysts, or researchers who are challenging artificial intelligence or accelerated computing.<\/p>\n<p><a href=\"http:\/\/mcomputers.cz\/nvidia-dgx-systemy\/nvidia-dli\/\">Read more.<\/a><\/p>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-l5n4xz-0ae6dc67a7d1aa213f960cc468545d94 sc-av_three_fourth av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-l5n4xz-0ae6dc67a7d1aa213f960cc468545d94\">\n.flex_column.av-l5n4xz-0ae6dc67a7d1aa213f960cc468545d94{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-l5n4xz-0ae6dc67a7d1aa213f960cc468545d94 av_three_fourth  avia-builder-el-31  el_after_av_two_third  el_before_av_one_fourth  first flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-idzlpj-8f33b62e522e7cccd9b505fc1cc87a7f '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>Testing<\/h2>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-i4mgd3-2f289728ae50ea5b4678189836667302 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>To test the performance and especially the speed of deployment of ML and AI applications, we have the NVIDIA DGX Station system and within the <a href=\"https:\/\/www.nvidia.com\/en-gb\/data-center\/tesla\/gpu-test-drive\/\">NVIDIA Tesla Test Drive<\/a> program also 2 \u00d7 NVIDIA Tesla V100 and NVIDIA Tesla T4. If you are interested in testing, please fill out this form.<\/p>\n<\/div><\/section><br \/>\n<form action=\"https:\/\/mcomputers.cz\/en\/2020\/05\/14\/nvidia-ampere\/\" method=\"post\" data-fields-with-error=\"Found errors in the following field(s):\" class=\"avia_ajax_form av-form-labels-visible   avia-builder-el-34  el_after_av_textblock  avia-builder-el-last   \" data-avia-form-id=\"1\" data-avia-redirect='' ><fieldset><p class='  first_form  form_element form_element_fourth' id='element_avia_1_1'><label for=\"avia_1_1\">NVIDIA product <abbr class=\"required\" title=\"required\">*<\/abbr><\/label><select  name=\"avia_1_1\" class=\"select is_empty\" id=\"avia_1_1\"><option   value='NVIDIA DGX Station'>NVIDIA DGX Station<\/option><option   value='NVIDIA Testa V100'>NVIDIA Testa V100<\/option><option   value='NVIDIA Tesla T4'>NVIDIA Tesla T4<\/option><option   value='NVIDIA Jetson Nano'>NVIDIA Jetson Nano<\/option><\/select><\/p><p class='  form_element form_element_fourth' 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Autoclose: 1 --><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11149 alignleft\" src=\"http:\/\/mcomputers.cz\/wp-content\/uploads\/2019\/10\/NVIDIA_ElitePartner_main_page.png\" alt=\"NVIDIA Elite\" width=\"220\" height=\"81\" \/><\/p>\n<p>M Computers s.r.o. is NVIDIA&#8217;s NPN partner with the highest degree of ELITE partnership for the areas of the most powerful TESLA accelerators and complete AI systems &#8211; NVIDIA DGX Systems. We supply NVIDIA products in the Czech Republic, Slovakia and other countries in Central and Eastern Europe.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>From general purpose GPUs to AI supercomputers More news from NVIDIA Webinars We have prepared for you a series of webinars on the topic of accelerated calculations and especially news from the GTC conference and presentation of Jensen Huang. May 20, 2020, 3:00 PM: Introduction to Accelerated Computing May 21, 2020, 9:00: NVIDIA News, Tesla [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":12852,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[216,75,217],"tags":[261,145,262,84,116],"class_list":["post-12963","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dgx-en-2","category-news","category-tesla-en-2","tag-a100","tag-ai-en","tag-ampere-en","tag-hpc-en","tag-nvidia-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>NVIDIA Ampere announcement &#8211; M Computers s.r.o.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mcomputers.cz\/en\/2020\/05\/14\/nvidia-ampere\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA Ampere announcement\" \/>\n<meta property=\"og:description\" content=\"From general purpose GPUs to AI supercomputers More news from NVIDIA Webinars We have prepared for you a series of webinars on the topic of accelerated calculations and especially news from the GTC conference and presentation of Jensen Huang. 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