{"id":900994,"date":"2025-02-25T07:40:00","date_gmt":"2025-02-25T06:40:00","guid":{"rendered":"https:\/\/www.tomshardware.fr\/?p=900994"},"modified":"2025-02-24T23:44:15","modified_gmt":"2025-02-24T22:44:15","slug":"deepseek-va-devenir-encore-plus-performant-avec-cette-mise-a-jour","status":"publish","type":"post","link":"https:\/\/www.tomshardware.fr\/deepseek-va-devenir-encore-plus-performant-avec-cette-mise-a-jour\/","title":{"rendered":"DeepSeek va devenir encore plus performant avec cette mise \u00e0 jour"},"content":{"rendered":"\n

DeepSeek, une entreprise chinoise sp\u00e9cialis\u00e9e dans l’intelligence artificielle, a r\u00e9cemment d\u00e9voil\u00e9 un projet innovant visant \u00e0 am\u00e9liorer les performances des GPU Hopper H800 de NVIDIA. Baptis\u00e9 FlashMLA, ce projet permet d’augmenter la puissance de calcul de ces GPU de mani\u00e8re significative, sans n\u00e9cessiter de modifications mat\u00e9rielles.<\/p>\n\n\n\n

Une optimisation logicielle pour am\u00e9liorer les performances<\/h2>\n\n\n\n

DeepSeek<\/a> a r\u00e9ussi \u00e0 optimiser les GPU Hopper H800<\/a> en se concentrant sur l’efficacit\u00e9 logicielle. Gr\u00e2ce \u00e0 FlashMLA, l’entreprise affirme avoir atteint 580 TFLOPS pour les multiplications de matrices en BF16, soit environ huit fois plus que les standards de l’industrie. De plus, la bande passante m\u00e9moire a \u00e9t\u00e9 port\u00e9e \u00e0 3000 GB\/s, soit pr\u00e8s du double de la capacit\u00e9 th\u00e9orique maximale du H800. Ces am\u00e9liorations sont rendues possibles par une meilleure gestion de la m\u00e9moire et une allocation plus efficace des ressources lors des requ\u00eates d’inf\u00e9rence.<\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/deepseek_ai\/status\/1893836827574030466\n<\/div><\/figure>\n\n\n\n

FlashMLA utilise plusieurs techniques pour parvenir \u00e0 ces r\u00e9sultats. Parmi elles, la compression “low-rank key-value” permet de d\u00e9composer les donn\u00e9es en portions plus petites, acc\u00e9l\u00e9rant ainsi le traitement tout en r\u00e9duisant la consommation de m\u00e9moire de 40% \u00e0 60%. De plus, un syst\u00e8me de pagination bas\u00e9 sur des blocs alloue dynamiquement la m\u00e9moire en fonction de l’intensit\u00e9 de la t\u00e2che, ce qui am\u00e9liore le traitement des s\u00e9quences de longueur variable.<\/p>\n\n\n\n

Le projet est Open Source<\/h2>\n\n\n\n

Ce projet s’inscrit dans le cadre d’une semaine “OpenSource” organis\u00e9e par DeepSeek, durant laquelle l’entreprise pr\u00e9voit de rendre disponibles diverses technologies et outils sur des d\u00e9p\u00f4ts GitHub. FlashMLA, en tant que noyau de d\u00e9codage sp\u00e9cifiquement con\u00e7u pour les GPU Hopper, est l’une des premi\u00e8res innovations d\u00e9voil\u00e9es.<\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/deepseek_ai\/status\/1893836827574030466\n<\/div><\/figure>\n\n\n\n

Le d\u00e9veloppement de FlashMLA par DeepSeek d\u00e9montre que l’optimisation logicielle peut jouer un r\u00f4le crucial dans l’am\u00e9lioration des performances mat\u00e9rielles en intelligence artificielle. Bien que ce projet soit actuellement sp\u00e9cifique aux GPU Hopper, il ouvre la voie \u00e0 de nouvelles approches pour maximiser les capacit\u00e9s des \u00e9quipements existants.<\/p>\n","protected":false},"excerpt":{"rendered":"

DeepSeek booste les performances des GPU NVIDIA Hopper H800, multipliant leur puissance par huit gr\u00e2ce \u00e0 son projet FlashMLA.<\/p>","protected":false},"author":133,"featured_media":900995,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4108],"tags":[4187],"hubs":[],"class_list":["post-900994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligence-artificielle","tag-deepseek"],"acf":{"display_mode":"medium-img","post_show_excerpt":true,"post_show_in_home":true,"post_show_summary":false,"post_source":"","hide_sidebar":false,"hide_advertising":false,"custom_ga_words":""},"yoast_head":"\nDeepSeek va devenir encore plus performant avec cette mise \u00e0 jour<\/title>\n<meta name=\"description\" content=\"DeepSeek booste les performances des GPU NVIDIA Hopper H800, multipliant leur puissance par huit gr\u00e2ce \u00e0 son 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