{"id":279304,"date":"2018-05-09T12:01:00","date_gmt":"2018-05-09T10:01:00","guid":{"rendered":"https:\/\/cms.galaxiemedia.fr\/tomshardware\/2018\/05\/09\/processeur-google-tpu-3-8-fois-plus-performant-que-le-tpu-2\/"},"modified":"2023-09-20T13:21:34","modified_gmt":"2023-09-20T11:21:34","slug":"processeur-google-tpu-3-8-fois-plus-performant-que-le-tpu-2","status":"publish","type":"post","link":"https:\/\/www.tomshardware.fr\/processeur-google-tpu-3-8-fois-plus-performant-que-le-tpu-2\/","title":{"rendered":"Processeur Google TPU 3 : 8 fois plus performant que le TPU 2"},"content":{"rendered":"<p><span class=\"imgContent imgCenter\"><span class=\"imgWrapperOutter\"><span class=\"imgWrapperInner\"><span class=\"iZoom\"><img alt=\"Image 1 : Processeur Google TPU 3 : 8 fois plus performant que le TPU 2\" decoding=\"async\" width=\"755\" height=\"243\" src=\"https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2018\/05\/dcsotmdxuaam-hz-755x243.jpg\" class=\"attachment-purch-755 size-purch-755\" alt=\"\" \/><\/span><\/span><\/span><\/span><\/p>\n<p>Les processeurs Tensor Processing Unit (TPU) de Google d\u00e9barquent dans leur troisi\u00e8me g\u00e9n\u00e9ration pour le <em>machine learning<\/em>, annonc\u00e9e huit fois plus rapides que les pr\u00e9c\u00e9dents TPU 2.0 annonc\u00e9s l&#8217;an dernier seulement. Selon Google ces puces auront un refroidissement liquide, et pourront fournir des blocs de 100 PFLOPS (p\u00e9taflops), nomm\u00e9s TPU Pod. Des p\u00e9taflops en TensorFlow \u00e9videmment. <\/p>\n<h3>Peu de d\u00e9tails techniques<\/h3>\n<p>Les pr\u00e9c\u00e9dents TPU 2.0 d\u00e9gageaient 45 TFLOPS par puces, 180 TFLOPS par modules de 4, et 11,5 PFLOPS par TPU Pod de 64 modules (256 puces TPU). Google annonce aujourd&#8217;hui un TPU Pod \u00e0 plus de 100 PFLOPS avec les TPU 3.0, ce qui correspond \u00e0 peu pr\u00e8s \u00e0 l&#8217;annonce de performances huit fois sup\u00e9rieure. Du coup, si ce Pod a le m\u00eame nombre de 256 TPU, un seul TPU 3.0 serait capable d&#8217;offrir \u00e0 lui seul 360 TFLOPS TensorFlow environ, mais Google n&#8217;apporte pas plus de d\u00e9tails techniques pour l&#8217;instant. Comparativement, un DGX-1 de NVIDIA apporte <a href=\"https:\/\/www.tomshardware.fr\/reportage-le-cerveau-artificiel-pny-airi-sur-gpu-nvidia-volta\/\">1 PFLOPS de puissance TensorFlow sur huit GPU<\/a>, soit environ 125 TFLOPS par GPU.<\/p>\n<p>Notez que ces puces ne seront pas en vente \u00e0 l&#8217;industrie, simplement disponibles via la location de ressources de calcul sur Google Cloud.<\/p>\n<div class=\"dService\" data-service=\"PicStory\" data-guid=\"fr_FR_22_PicStory_989\" data-id=\"4731\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>On n'arr\u00eate plus l'IA...<\/p>","protected":false},"author":7,"featured_media":279305,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[487,4071,4110],"tags":[],"hubs":[],"class_list":["post-279304","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualite","category-processeurs","category-r-d"],"acf":{"post_show_excerpt":true,"post_source":{"title":"Tom's Hardware FR","url":"http:\/\/www.presence-pc.com\/","target":""}},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v23.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Processeur Google TPU 3 : 8 fois plus performant que le TPU 2<\/title>\n<meta name=\"description\" content=\"On n&#039;arr\u00eate plus l&#039;IA...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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