{"id":7206,"date":"2018-04-10T15:02:01","date_gmt":"2018-04-10T14:02:01","guid":{"rendered":"http:\/\/www.mcomputers.cz\/?p=7206"},"modified":"2019-05-14T15:34:05","modified_gmt":"2019-05-14T14:34:05","slug":"news-from-gtc-2018","status":"publish","type":"post","link":"https:\/\/mcomputers.cz\/en\/2018\/04\/10\/news-from-gtc-2018\/","title":{"rendered":"News from GTC 2018"},"content":{"rendered":"<blockquote><p>At the end of March, NVIDIA held the <strong>GTC 2018 conference (GPU Technology Conference)<\/strong> in American San Jos\u00e9. Among others, novelties in the field of computing using GPU accelerators, machine learning, and AI were presented at the conference.<\/p><\/blockquote>\n<hr \/>\n<p>Indeed, this year\u2019s conference offered a lot of novelties. To those interested, we recommend watching the entire GTC 2018 keynote video prepared by the co-founder and general director of NVIDIA, Mr. Jensen Huang \u2013 traditionally dressed in a leather biker jacket:<\/p>\n<p><iframe loading=\"lazy\" style=\"border: 0 none transparent;\" src=\"https:\/\/www.ustream.tv\/embed\/20165212?html5ui\" width=\"480\" height=\"270\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><\/iframe><\/p>\n<h3>What were we intrigued by?<\/h3>\n<p>At the GTC 2018 conference, NVIDIA presented the successor of their flag graphic accelerator for the field of machine learning \u2013 NVIDIA V100 with a 32GB memory (which is twice the capacity of the original card). Another novelty is a complex system for machine learning \u2014 the NVIDIA DGX-2 server. It is the successor of the first concept by NVIDIA within this field (DGX-1). DGX-2 concentrates the performance of sixteen newest Tesla V100 32GB accelerators into a single server, which was also presented at the GTC conference.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_6940\" style=\"width: 280px\" class=\"wp-caption alignright\"><a href=\"http:&#47;&#x2f;&#109;&#x63;o&#x6d;p&#117;&#x74;&#101;&#x72;&#115;&#x2e;c&#x7a;\/&#119;&#x70;&#45;&#x63;o&#x6e;t&#x65;&#x6e;&#116;&#x2f;&#117;&#x70;l&#x6f;a&#100;&#x73;&#47;&#x32;&#48;&#x31;8&#x2f;0&#52;&#x2f;&#100;&#x61;t&#x61;-&#x63;&#x65;&#110;&#x74;&#101;&#x72;-&#x74;e&#115;&#x6c;&#97;&#x2d;&#118;&#x31;0&#x30;-&#110;&#x76;&#108;&#x69;n&#x6b;-&#x36;&#x32;&#53;&#x2d;&#117;&#x64;&#64;&#x32;x&#45;&#x31;&#46;&#x6a;&#112;&#x67;\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-6940\" class=\"wp-image-6940\" src=\"http:&#47;&#x2f;&#109;&#x63;&#111;&#x6d;&#112;&#x75;&#116;&#x65;&#114;&#x73;&#46;&#x63;&#122;&#x2f;&#119;&#x70;&#45;&#x63;&#111;&#x6e;&#116;&#x65;&#110;&#x74;&#47;&#x75;&#112;&#x6c;&#111;&#x61;&#100;&#x73;&#47;&#x32;&#48;&#x31;&#56;&#x2f;&#48;&#x34;&#47;&#x64;&#97;&#x74;&#97;&#x2d;&#99;&#x65;&#110;&#x74;&#101;&#x72;&#45;&#x74;&#101;&#x73;&#108;&#x61;&#45;&#x76;&#49;&#x30;&#48;&#x2d;&#110;&#x76;&#108;&#x69;&#110;&#x6b;&#45;&#x36;&#50;&#x35;&#45;&#x75;&#100;&#x40;&#50;&#x78;&#45;&#x31;&#45;&#x34;&#57;&#x35;&#120;&#x34;&#48;&#x30;&#46;&#x6a;&#112;&#x67;\" alt=\"V100\" width=\"270\" height=\"218\" \/><\/a><p id=\"caption-attachment-6940\" class=\"wp-caption-text\">Tesla V100<\/p><\/div>\n<p><strong>Tesla V100 32GB GP GPU accelerator parameters:<\/strong><\/p>\n<ul>\n<li>5 120 CUDA cores, 640 Tensor cores<\/li>\n<li>performance 7,8 FP64 TFLOPS, 15,7 FP32 TFLOPS, 125 Tensor TFLOPS (NVLink version)<\/li>\n<li><strong>32GB<\/strong> HBM2 @ 900GB\/s<\/li>\n<li>300GB\/s NVLink or PCIe gen3<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Parameters of NVIDIA DGX-2<\/strong>, which boasts the most powerful machine learning system in the world!<\/p>\n<ul>\n<li>\n<div id=\"attachment_6964\" style=\"width: 280px\" class=\"wp-caption alignright\"><a href=\"http:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/NVIDIA-DGX-2.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-6964\" class=\"wp-image-6964\" src=\"http:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/NVIDIA-DGX-2.jpg\" alt=\"NVIDIA DGX-2\" width=\"270\" height=\"184\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/NVIDIA-DGX-2.jpg 600w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/NVIDIA-DGX-2-300x205.jpg 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/NVIDIA-DGX-2-450x307.jpg 450w\" sizes=\"auto, (max-width: 270px) 100vw, 270px\" \/><\/a><p id=\"caption-attachment-6964\" class=\"wp-caption-text\">NVIDIA DGX-2<\/p><\/div>\n<p><strong>power 2 PFLOPS!<\/strong><\/li>\n<li>16\u00d7 Tesla V100 32GB GPU<\/li>\n<li>NVSwitch: 2.4 TB\/s bisection bandwidth<\/li>\n<li>24\u00d7 GPU-GPU Bandwidth<\/li>\n<li>0.5 TB of Unified GPU Memory<\/li>\n<li>10\u00d7 higher performance for deep learning tasks<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Other interesting news and observations from the GTC 2018 conference<\/h3>\n<p>Furthermore, NVIDIA presented a support to the Kubernetes technology for the NVIDIA GPU accelerators (for the NVIDIA containers, NVIDIA GPU Cloud \u2014 AWS-WC2, GCP, Azure, DGX). The support to this technology significantly simplifies the application of the AI models in the environment of a hybrid cloud.<\/p>\n<p>Another interesting thing was the extension of the support to applications running in the containers above the NVIDIA GPU cloud or an HPC cloud for HPC visualisation. The combination of NVIDIA DGX-1, Pure Storage, and Arista switch \u2013 known as AIRI (i.e. AI ready infrastructure) was also very interesting.<\/p>\n<div id=\"attachment_6595\" style=\"width: 190px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-6595\" class=\"wp-image-6595 size-square\" src=\"http:\/\/mcomputers.cz\/wp-content\/uploads\/2017\/12\/NVIDIA_station-180x180.jpg\" alt=\"NVIDIA DGX Station\" width=\"180\" height=\"180\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2017\/12\/NVIDIA_station-180x180.jpg 180w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2017\/12\/NVIDIA_station-80x80.jpg 80w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2017\/12\/NVIDIA_station-36x36.jpg 36w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2017\/12\/NVIDIA_station-120x120.jpg 120w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2017\/12\/NVIDIA_station-450x450.jpg 450w\" sizes=\"auto, (max-width: 180px) 100vw, 180px\" \/><p id=\"caption-attachment-6595\" class=\"wp-caption-text\">NVIDIA DGX Station<\/p><\/div>\n<h3><strong>GTC Europe 2018, 9.-11. \u0159\u00edjna 2018<\/strong><\/h3>\n<p>And we look forward ti the GTC EUROPE 2018 conference, whitch will be held on\u00a0 9-11 October 2018 in Munich, Germany. \u00a0 A u\u017e se t\u011b\u0161\u00edme na konferenci GTC EUROPE 2018, kter\u00e1 se bude konat 9.-11. \u0159\u00edjna 2018 v n\u011bmeck\u00e9m Mnichov\u011b.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-6929 size-full\" src=\"http:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/tesla-misc-web_banners-625338_header-960x333-2.png\" alt=\"\" width=\"960\" height=\"333\" srcset=\"https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/tesla-misc-web_banners-625338_header-960x333-2.png 960w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/tesla-misc-web_banners-625338_header-960x333-2-300x104.png 300w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/tesla-misc-web_banners-625338_header-960x333-2-768x266.png 768w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/tesla-misc-web_banners-625338_header-960x333-2-705x245.png 705w, https:\/\/mcomputers.cz\/wp-content\/uploads\/2018\/04\/tesla-misc-web_banners-625338_header-960x333-2-450x156.png 450w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>At the end of March, NVIDIA held the GTC 2018 conference (GPU Technology Conference) in American San Jos\u00e9. Among others, novelties in the field of computing using GPU accelerators, machine learning, and AI were presented at the conference. Indeed, this year\u2019s conference offered a lot of novelties. To those interested, we recommend watching the entire [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":6941,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[143,75,181],"tags":[135,136],"class_list":["post-7206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dgx-en","category-news","category-tesla-en","tag-dgx-1-en","tag-dgx-2-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>News from GTC 2018 &#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\/2018\/04\/10\/news-from-gtc-2018\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"News from GTC 2018\" \/>\n<meta property=\"og:description\" content=\"At the end of March, NVIDIA held the GTC 2018 conference (GPU Technology Conference) in American San Jos\u00e9. Among others, novelties in the field of computing using GPU accelerators, machine learning, and AI were presented at the conference. Indeed, this year\u2019s conference offered a lot of novelties. 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Among others, novelties in the field of computing using GPU accelerators, machine learning, and AI were presented at the conference. Indeed, this year\u2019s conference offered a lot of novelties. 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