{"id":40676,"date":"2018-10-02T22:32:07","date_gmt":"2018-10-02T20:32:07","guid":{"rendered":"https:\/\/www.planet3dnow.de\/cms\/?p=40676"},"modified":"2018-10-04T11:31:26","modified_gmt":"2018-10-04T09:31:26","slug":"amd-und-xilinx-verkuenden-neuen-weltrekord-bei-ai-inference","status":"publish","type":"post","link":"https:\/\/www.planet3dnow.de\/cms\/40676-amd-und-xilinx-verkuenden-neuen-weltrekord-bei-ai-inference\/","title":{"rendered":"<span class=\"caps\">AMD<\/span> und Xilinx verk\u00fcnden neuen Weltrekord bei <span class=\"caps\">AI<\/span> Inference"},"content":{"rendered":"<p>Auf dem Xilinx Deve\u00adlo\u00adper Forum haben Xilinx-CEO Vic\u00adtor Peng und <span class=\"caps\">AMD-CTO<\/span> Mark Paper\u00admas\u00adter heu\u00adte einen neu\u00aden&nbsp;AI-Infe\u00adrence-Welt\u00adre\u00adkord mit 30 000 Bil\u00addern pro Sekun\u00adde bekannt\u00adge\u00adge\u00adben, der auf einem Sys\u00adtem mit zwei AMD-EPYC-7551-Pro\u00adzes\u00adso\u00adren zusam\u00admen mit acht der heu\u00adte neu ange\u00adk\u00fcn\u00addig\u00adten Xilinx-Alveo-U250-Beschleu\u00adni\u00adger\u00adkar\u00adten erzielt wur\u00adde. Der Bench\u00admark wur\u00adde mit Goog\u00adLeNet (mit einer Batch-Size von 1 und Int8-Pre\u00adcis\u00adi\u00adon) durchgef\u00fchrt.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/AMD_Xilinx_Server.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-40677 size-medium\" src=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/AMD_Xilinx_Server-300x197.jpg\" alt width=\"300\" height=\"197\" srcset=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/AMD_Xilinx_Server-300x197.jpg 300w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/AMD_Xilinx_Server-768x505.jpg 768w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/AMD_Xilinx_Server-624x410.jpg 624w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/AMD_Xilinx_Server.jpg 783w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\"><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>Mit\u00adtels fal\u00adten\u00adder neu\u00adro\u00adna\u00adler Netz\u00adwer\u00adke wie Goog\u00adLeNet wird im Bereich Bil\u00adder\u00adken\u00adnung (Gesichts\u00ader\u00adken\u00adnung) und Sprach\u00ader\u00adken\u00adnung (seman\u00adti\u00adsches Par\u00adsen, Such\u00adan\u00adfra\u00adgen\u00adr\u00fcck\u00aderken\u00adnung, Satz\u00admo\u00addel\u00adlie\u00adrung, Satz\u00adklas\u00adsi\u00adfi\u00adzie\u00adrung, maschi\u00adnel\u00adle \u00dcber\u00adset\u00adzung) gear\u00adbei\u00adtet (<a href=\"https:\/\/de.wikipedia.org\/wiki\/Convolutional_Neural_Network\" target=\"_blank\" rel=\"noopener\">sie\u00adhe Wiki\u00adpe\u00addia<\/a>). Unter\u00adschie\u00adden wird dabei zwi\u00adschen Deep Lear\u00adning Trai\u00adning und Infe\u00adrence. Ers\u00adte\u00adres bezeich\u00adnet dabei das Trai\u00adning neu\u00adro\u00adna\u00adler Netz\u00adwer\u00adke, das zwei\u00adte dann die prak\u00adti\u00adsche Umset\u00adzung der antrai\u00adnier\u00adten neu\u00aden M\u00f6g\u00adlich\u00adkei\u00adten zur Daten\u00adana\u00adly\u00adse. <span class=\"caps\">NVIDIA<\/span> zum Bei\u00adspiel setzt f\u00fcr die\u00adsen Zweck die Tes\u00adla Pro\u00adduk\u00adte ein und bezeich\u00adnet die Tes\u00adla <span class=\"caps\">T4<\/span> <span class=\"caps\">GPU<\/span> (basie\u00adrend auf Turing) als welt\u00adweit fort\u00adschritt\u00adlichs\u00adten Infer\u00adcence Beschleuniger.&nbsp;<\/p>\n<p><\/p><center><figure id=\"attachment_40688\" aria-describedby=\"caption-attachment-40688\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-40688\" src=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference-300x169.jpg\" alt width=\"300\" height=\"169\" srcset=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference-300x169.jpg 300w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference-768x432.jpg 768w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference-1024x576.jpg 1024w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference-624x351.jpg 624w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/ai_difference_between_deep_learning_training_inference.jpg 1080w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\"><\/a><figcaption id=\"caption-attachment-40688\" class=\"wp-caption-text\">What\u2019s the Dif\u00adfe\u00adrence Bet\u00adween Deep Lear\u00adning Trai\u00adning and Infe\u00adrence? ( Quel\u00adle:&nbsp;<a href=\"https:\/\/blogs.nvidia.com\/blog\/2016\/08\/22\/difference-deep-learning-training-inference-ai\/\" target=\"_blank\" rel=\"noopener\">Nvi\u00addia<\/a>)<\/figcaption><\/figure><\/center>\n<blockquote><p>Xilinx and <span class=\"caps\">AMD<\/span> see a bright future in their tech\u00adno\u00adlo\u00adgy col\u00adla\u00adbo\u00adra\u00adti\u00adon. The\u00adre is strong ali\u00adgnment in our road\u00admaps that ali\u00adgn the high-per\u00adfor\u00admance <span class=\"caps\">AMD<\/span> <span class=\"caps\">EPYC<\/span> ser\u00adver and gra\u00adphics pro\u00adces\u00adsors with Xilinx acce\u00adle\u00adra\u00adti\u00adon plat\u00adforms across its Alveo acce\u00adle\u00adra\u00adtor cards, as well as its forth\u00adco\u00adming Ver\u00adsal portfolio.&nbsp;<\/p><\/blockquote>\n<p style=\"text-align: center;\">&nbsp;<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/alveo_u250.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-40679\" src=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/alveo_u250-300x238.jpg\" alt width=\"300\" height=\"238\" srcset=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/alveo_u250-300x238.jpg 300w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/alveo_u250-768x608.jpg 768w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/alveo_u250-624x494.jpg 624w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/alveo_u250.jpg 900w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\"><\/a><\/p>\n<p><span class=\"caps\">AMD<\/span> und Xilinx haben Trei\u00adber opti\u00admiert und die Per\u00adfor\u00admance auf die Inter\u00adope\u00adra\u00adbi\u00adli\u00adt\u00e4t zwi\u00adschen <span class=\"caps\">AMD<\/span> <span class=\"caps\">EPYC<\/span> CPUs mit Xilinx FPGAs abge\u00adstimmt.&nbsp;Mit der Alveo&nbsp;<a href=\"https:\/\/www.xilinx.com\/u200\" target=\"_blank\" rel=\"nofollow noopener\"><span class=\"caps\">U200<\/span><\/a>&nbsp;und der in dem Welt\u00adre\u00adkord\u00adsys\u00adtem ein\u00adge\u00adsetz\u00adten Alveo&nbsp;<a href=\"https:\/\/www.xilinx.com\/u250\" target=\"_blank\" rel=\"nofollow noopener\"><span class=\"caps\">U250<\/span><\/a>&nbsp;auf Basis von Xilinx UltraS\u00adca\u00adle+ FPGAs hat Xilinx heu\u00adte, die nach eige\u00adnen Anga\u00adben welt\u00adweit schnells\u00adten Rechen\u00adzen\u00adtrums- und AI-Beschleu\u00adni\u00adger\u00adkar\u00adten&nbsp;<a href=\"https:\/\/www.planet3dnow.de\/cms\/40670-xilinx-launches-the-worlds-fastest-data-center-and-ai-accelerator-cards\/\">vor\u00adge\u00adstellt<\/a>.<\/p>\n<p style=\"text-align: center;\">&nbsp;<a href=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-40683 size-large\" src=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo-1024x564.jpg\" alt width=\"625\" height=\"344\" srcset=\"https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo-1024x564.jpg 1024w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo-300x165.jpg 300w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo-768x423.jpg 768w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo-624x344.jpg 624w, https:\/\/www.planet3dnow.de\/cms\/wp-content\/uploads\/2018\/10\/Xilinx_Alveo.jpg 1275w\" sizes=\"auto, (max-width: 625px) 100vw, 625px\"><\/a><\/p>\n<p><strong>Quel\u00adle:<\/strong>&nbsp;<a href=\"https:\/\/forums.xilinx.com\/t5\/Xilinx-Xclusive-Blog\/Time-for-a-Guinness-AMD-and-Xilinx-announce-a-new-world-record\/ba-p\/895034\" target=\"_blank\" rel=\"noopener\">Time for a Guin\u00adness? <span class=\"caps\">AMD<\/span> and Xilinx announ\u00adce a new world record for <span class=\"caps\">AI<\/span> Inference<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Auf dem Xilinx Deve\u00adlo\u00adper Forum haben Xilinx-CEO Vic\u00adtor Peng und <span class=\"caps\">AMD-CTO<\/span> Mark Paper\u00admas\u00adter heu\u00adte einen neu\u00aden&nbsp;<span class=\"caps\">AI<\/span> Infe\u00adrence Welt\u00adre\u00adkord mit 30.000 Bil\u00addern pro Sekun\u00adde bekannt\u00adge\u00adben, der auf einem Sys\u00adtem mit zwei <span class=\"caps\">AMD<\/span> <span class=\"caps\">EPYC<\/span> 7551 Pro\u00adzes\u00adso\u00adren zusam\u00admen mit acht der heu\u00adte neu ange\u00adk\u00fcn\u00addig\u00adten Xilinx Alveo <span class=\"caps\">U250<\/span> Beschleu\u00adni\u00adger\u00adkar\u00adten erzielt wur\u00adde. Der Bench\u00admark wur\u00adde mit Goog\u00adLeNet (mit einer Batch-Size von 1 und Int8-Pre\u00adcis\u00adi\u00adon) durch\u00adge\u00adf\u00fchrt. (\u2026) <a class=\"moretag\" href=\"https:\/\/www.planet3dnow.de\/cms\/40676-amd-und-xilinx-verkuenden-neuen-weltrekord-bei-ai-inference\/\">Wei\u00adter\u00adle\u00adsen&nbsp;\u00bb<\/a><\/p>\n","protected":false},"author":593,"featured_media":40682,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wp_typography_post_enhancements_disabled":false,"ngg_post_thumbnail":0,"footnotes":""},"categories":[12,11],"tags":[1584,966,532,1307,1583],"class_list":["post-40676","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aktuelles","category-news","tag-alveo","tag-amd","tag-benchmark","tag-epyc","tag-xilinx","entry"],"share_on_mastodon":{"url":"","error":""},"_links":{"self":[{"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/posts\/40676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/users\/593"}],"replies":[{"embeddable":true,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/comments?post=40676"}],"version-history":[{"count":11,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/posts\/40676\/revisions"}],"predecessor-version":[{"id":40709,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/posts\/40676\/revisions\/40709"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/media\/40682"}],"wp:attachment":[{"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/media?parent=40676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/categories?post=40676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.planet3dnow.de\/cms\/wp-json\/wp\/v2\/tags?post=40676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}