{"id":230409,"date":"2017-07-26T15:01:53","date_gmt":"2017-07-26T19:01:53","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/nvidia-releases-first-v100-gpus-into-the-wild-top500-top500-news.php"},"modified":"2017-07-26T15:01:53","modified_gmt":"2017-07-26T19:01:53","slug":"nvidia-releases-first-v100-gpus-into-the-wild-top500-top500-news","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/nvidia-releases-first-v100-gpus-into-the-wild-top500-top500-news.php","title":{"rendered":"NVIDIA Releases First V100 GPUs into the Wild | TOP500 &#8230; &#8211; TOP500 News"},"content":{"rendered":"<p><p>    NVIDIA has donated 15 V100 Tesla GPUs to researchers attending    the recent Computer Vision and Pattern Recognition conference    in Honolulu. The giveaway was described in a     blog posted by the company on July 22.  <\/p>\n<\/p>\n<p>    Recipients of the first V100 GPUs.    Source: NVIDIA  <\/p>\n<\/p>\n<p>    The Volta-class graphics processors were presented to    representatives of each of the 15 research institutions    attending the conference, and represent the first such GPUs    that the company has made available to users. The new hardware    is expected to become more widely available in the current    (third) quarter of the year.  <\/p>\n<p>    The V100 is NVIDIAs latest and greatest GPU computing    processor, and includes special-purpose hardware called Tensor    Cores that are specifically designed to accelerate deep    learning applications. The 640 Tensor Cores on the chip deliver    120 teraflops of performance for both training and inferencing    neural networks. Thats about five times faster than what can    be achieved on the current-generation P100 Tesla GPUs.  <\/p>\n<p>    The V100 can also deliver 7.5 teraflops of double precision    (64-bit) floating point power, but to the AI researchers who    received the new GPUs, this feature is unlikely to be used.    Most deep learning algorithms use 32-bit, 16-bit, and, in some    cases, 8-bit arithmetic to perform their AI magic.  <\/p>\n<p>    While at the conference, NVIDIA also demonstrated V100 hardware    doing inferencing on a Resnet-152 trained network. Running with    just one of the four V100 GPUs on a DGX Station and NVIDIAs    TensorRT inference optimizer software, the system was able to    classify 527 flower images per second. That was 100 times    faster than a CPU-only setup equipped with an Intel Skylake    processor. Its noteworthy that even the 5 images-per-second    rate for the CPU system is faster than what a human could    manage.  <\/p>\n<p>    Speaking at the event, NVIDIA CEO Jensen Huang spoke to the    attendees about the significance of artificial intelligence and    their research. AI is the most powerful technology force that    we have ever known, said Jensen Ive seen everything. Ive    seen the coming and going of the client-server revolution. Ive    seen the coming and going of the PC revolution. Absolutely    nothing compares.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Go here to read the rest:<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.top500.org\/news\/nvidia-releases-first-v100-gpus-into-the-wild\/\" title=\"NVIDIA Releases First V100 GPUs into the Wild | TOP500 ... - TOP500 News\">NVIDIA Releases First V100 GPUs into the Wild | TOP500 ... - TOP500 News<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> NVIDIA has donated 15 V100 Tesla GPUs to researchers attending the recent Computer Vision and Pattern Recognition conference in Honolulu. The giveaway was described in a blog posted by the company on July 22. Recipients of the first V100 GPUs.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/nvidia-releases-first-v100-gpus-into-the-wild-top500-top500-news.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[41],"tags":[],"class_list":["post-230409","post","type-post","status-publish","format-standard","hentry","category-super-computer"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/230409"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=230409"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/230409\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=230409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=230409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=230409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}