{"id":149168,"date":"2021-11-05T08:58:50","date_gmt":"2021-11-05T08:58:50","guid":{"rendered":"https:\/\/\/deux-ipu-pod-pour-accelerer-lintelligence-artificielle\/"},"modified":"2021-11-05T08:58:50","modified_gmt":"2021-11-05T08:58:50","slug":"deux-ipu-pod-pour-accelerer-lintelligence-artificielle","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/deux-ipu-pod-pour-accelerer-lintelligence-artificielle\/","title":{"rendered":"Deux IPU-POD pour acc\u00e9l\u00e9rer l\u2019Intelligence Artificielle"},"content":{"rendered":"<p>Les IPU-POD sont adapt\u00e9s aux hyperscalers dans le cloud, aux laboratoires de calcul scientifique et de recherche ax\u00e9s IA en entreprise, ainsi qu&rsquo;aux \u00e9quipes IA actives dans les milieux financier et pharmaceutique afin qu\u2019ils puissent augmenter leur capacit\u00e9 de calcul. Ces nouveaux IPU-POD permettent par exemple un entra\u00eenement plus rapide de larges mod\u00e8les de transformeurs pour l\u2019IA au sein de l\u2019int\u00e9gralit\u00e9 d\u2019un syst\u00e8me, tout en offrant la possibilit\u00e9 de traiter de larges mod\u00e8les d\u2019inf\u00e9rence dans un contexte commercial.<br \/>\nLes r\u00e9sultats initiaux obtenus lors de l\u2019ex\u00e9cution de mod\u00e8les courants, attestent de performances d\u2019apprentissage exceptionnelles et d\u2019une mise \u00e0 l\u2019\u00e9chelle hautement efficace. D\u2019autres am\u00e9liorations logicielles sont pr\u00e9vues pour multiplier encore plus les capacit\u00e9s.&nbsp;<\/p>\n<p>Ces nouvelles configurations se caract\u00e9risent par des passerelles, \u00e0 savoir des connexions rack \u00e0 rack horizontales qui \u00e9tendent les liens entre IPU par tunnellisation, avec un d\u00e9bit Ethernet standard de 100&nbsp;Gbits\/s. Les communications sont g\u00e9r\u00e9es par la passerelle situ\u00e9e sur chaque machine M2000 et les connecteurs QSFP\/OSFP doubles de cette derni\u00e8re se chargent de la connectivit\u00e9.Ceci permet un acc\u00e8s aux IPU \u00e0 davantage de d\u00e9veloppeurs en divisant un syst\u00e8me en partitions virtuelles (vPOD) de moindre taille, tout en offrant plus de flexibilit\u00e9. Cette solution ouvre ainsi la voie \u00e0 des avanc\u00e9es scientifiques via l\u2019exploration de nouveaux mod\u00e8les de transformeurs g\u00e9n\u00e9ratifs pr\u00e9-entrain\u00e9s tels que&nbsp;<a href=\"https:\/\/fr.wikipedia.org\/wiki\/GPT-3\" target=\"_blank\" rel=\"noopener\">GPT<\/a>&nbsp;et les r\u00e9seaux de neurones pour graphs (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Graph_neural_network\" target=\"_blank\" rel=\"noopener\">GNN<\/a>) \u00e0 travers des syst\u00e8mes entiers. Atos fait partie des nombreux partenaires de Graphcore ayant pr\u00e9vu de d\u00e9ployer des syst\u00e8mes IPU-POD128&nbsp;et IPU-POD256&nbsp;sur les sites de ses clients du monde entier&nbsp;:<\/p>\n<p>\u00ab&nbsp;Nous sommes ravis de pouvoir ajouter les syst\u00e8mes IPU-POD128&nbsp;et IPU-POD256&nbsp;de Graphcore \u00e0 notre portefeuille ThinkAI. Ainsi, nos clients peuvent explorer et d\u00e9ployer des mod\u00e8les d\u2019IA plus vastes et innovants, et ce dans de nombreux secteurs, comme la recherche acad\u00e9mique, la finance, la sant\u00e9, les t\u00e9l\u00e9communications et l\u2019Internet grand public&nbsp;\u00bb, indique Agn\u00e8s&nbsp;Boudot, vice-pr\u00e9sidente senior et directrice des op\u00e9rations pour le calcul haute performance et la technologie quantique.<\/p>\n<p>L\u2019IPU-POD128&nbsp;et l\u2019IPU-POD256&nbsp;sont tous deux disponibles aujourd\u2019hui aupr\u00e8s d\u2019Atos et d\u2019autres partenaires,&nbsp;ainsi qu\u2019\u00e0 l\u2019achat dans le cloud via&nbsp;<a href=\"https:\/\/cirrascale.com\/graphcloud.php\" target=\"_blank\" rel=\"noopener\">Cirrascale<\/a>.&nbsp;Graphcore fournit \u00e9galement une formation et une assistance \u00e9tendues pour aider ses clients \u00e0 acc\u00e9l\u00e9rer l\u2019impl\u00e9mentation et d\u00e9ploiement d&rsquo;IA bas\u00e9s sur les IPU.<\/p>\n<p><a href=\"https:\/\/www.graphcore.ai\/\" target=\"_blank\" rel=\"noopener\">www.graphcore.ai<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Graphcore, l\u2019inventeur de l\u2019Intelligence Processing Unit (IPU), le microprocesseur de\u0301die\u0301 a\u0300 l&rsquo;intelligence artificielle, vient d\u2019annoncer l\u2019IPU-POD128 et l\u2019IPU-POD256. Avec une puissance de calcul de 32 p\u00e9taFLOPS pour l\u2019IPU-POD128 et 64 p\u00e9taFLOPS pour l\u2019IPU-POD256, Graphcore accentue encore davantage son empreinte dans le domaine des superordinateurs.<\/p>\n","protected":false},"author":9,"featured_media":149169,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[881],"tags":[],"domains":[47],"ppma_author":[1141],"class_list":["post-149168","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nouveaux-produits","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Deux IPU-POD pour acc\u00e9l\u00e9rer l\u2019Intelligence Artificielle ...<\/title>\n<meta name=\"description\" content=\"Graphcore, l\u2019inventeur de l\u2019Intelligence Processing Unit (IPU), le microprocesseur de\u0301die\u0301 a\u0300 l&#039;intelligence artificielle, vient d\u2019annoncer...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ecinews.fr\/fr\/wp-json\/wp\/v2\/posts\/149168\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deux IPU-POD pour acc\u00e9l\u00e9rer l\u2019Intelligence Artificielle\" \/>\n<meta property=\"og:description\" content=\"Graphcore, l\u2019inventeur de l\u2019Intelligence Processing Unit (IPU), le microprocesseur de\u0301die\u0301 a\u0300 l&#039;intelligence artificielle, vient d\u2019annoncer l\u2019IPU-POD128 et l\u2019IPU-POD256. Avec une puissance de calcul de 32 p\u00e9taFLOPS pour l\u2019IPU-POD128 et 64 p\u00e9taFLOPS pour l\u2019IPU-POD256, Graphcore accentue encore davantage son empreinte dans le domaine des superordinateurs.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ecinews.fr\/fr\/wp-json\/wp\/v2\/posts\/149168\/\" \/>\n<meta property=\"og:site_name\" content=\"EENewsEurope\" \/>\n<meta property=\"article:published_time\" content=\"2021-11-05T08:58:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.eenewseurope.com\/wp-content\/uploads\/import\/default\/files\/sites\/default\/files\/images\/eci9833_graphcore.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"640\" \/>\n\t<meta property=\"og:image:height\" content=\"427\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Alain Dieul\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" 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