{"id":4984,"date":"2023-09-03T07:07:09","date_gmt":"2023-09-03T07:07:09","guid":{"rendered":"https:\/\/dailyai.com\/?p=4984"},"modified":"2023-09-03T07:07:09","modified_gmt":"2023-09-03T07:07:09","slug":"teslas-300m-ai-cluster-supercomputer-to-go-live","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/","title":{"rendered":"Mise en service du supercalculateur Tesla de $300M AI cluster"},"content":{"rendered":"

Tesla s'appr\u00eate \u00e0 mettre en marche son nouveau supercalculateur $300M lundi, afin de donner un coup de pouce \u00e0 son programme de conduite autonome int\u00e9grale (FSD).<\/strong><\/p>\n

L'approche adopt\u00e9e par Tesla pour sa technologie de conduite autonome va n\u00e9cessiter une grande puissance de calcul.\u00a0<\/span><\/p>\n

Elon Musk a fait une d\u00e9monstration en direct du FSD V12 de Tesla il y a quelques jours, et bien qu'il se soit tr\u00e8s bien comport\u00e9, il y a eu quelques p\u00e9pins. Le syst\u00e8me, qui est encore en phase b\u00eata, est une approche ambitieuse de la conduite autonome, car il s'appuie uniquement sur des cam\u00e9ras, sans l'aide de radars ou de lidars.<\/span><\/p>\n

Dans un tweet, Musk a d\u00e9clar\u00e9 : \"Ce qui est \u00e9galement stup\u00e9fiant, c'est que la puissance de calcul d'inf\u00e9rence n\u00e9cessaire pour 8 cam\u00e9ras fonctionnant \u00e0 36FPS n'est que d'environ 100W sur l'ordinateur d'IA con\u00e7u par Tesla. Cette petite quantit\u00e9 de puissance est suffisante pour obtenir une conduite surhumaine !\"<\/span><\/p>\n

C'est peut-\u00eatre vrai en ce qui concerne la puissance de calcul requise dans le v\u00e9hicule, mais ce n'est possible qu'une fois que l'IA a \u00e9t\u00e9 correctement entra\u00een\u00e9e.<\/span><\/p>\n

Musk a expliqu\u00e9 la n\u00e9cessit\u00e9 de l'investissement informatique de Tesla en disant que \"pour atteindre une conduite surhumaine avec l'IA, il faut des milliards de dollars par an en calcul d'entra\u00eenement et en stockage de donn\u00e9es, ainsi qu'un grand nombre de kilom\u00e8tres parcourus\".<\/span><\/p>\n

C'est l\u00e0 qu'intervient le nouveau superordinateur de Tesla. L'ordinateur est compos\u00e9 de 10 000 GPU de calcul Nvidia H100. Cela en fait l'un des superordinateurs les plus puissants au monde.<\/span><\/p>\n

Tesla dispose actuellement de 4 millions de voitures sur les routes, capables d'enrichir son ensemble de donn\u00e9es de formation, et devrait en compter 10 millions d'ici quelques ann\u00e9es. Cela fait beaucoup de vid\u00e9os \u00e0 visionner.<\/span><\/p>\n

Tim Zaman, l'un des responsables de l'ing\u00e9nierie de l'IA chez Tesla, a d\u00e9clar\u00e9 : \"Gr\u00e2ce \u00e0 l'entra\u00eenement vid\u00e9o dans le monde r\u00e9el, nous disposons peut-\u00eatre des plus grands ensembles de donn\u00e9es d'entra\u00eenement au monde, avec une capacit\u00e9 de cache \u00e0 chaud de plus de 200 Po, soit plusieurs ordres de grandeur de plus que les LLM.\"<\/span><\/p>\n

Le nouvel ordinateur de Tesla fournira 340 FP64 PFLOPS pour le calcul technique et 39,58 INT8 ExaFLOPS pour les applications d'intelligence artificielle.\u00a0<\/span><\/p>\n

Si ces chiffres ne vous disent pas grand-chose, ils sont meilleurs que Leonardo, qui occupe la quatri\u00e8me place sur la liste des meilleurs supercalculateurs du monde.\u00a0<\/span><\/p>\n

Nvidia n'arrive pas \u00e0 suivre<\/h2>\n

Les GPU H100 de Nvidia effectuent l'apprentissage de l'IA jusqu'\u00e0 9 fois plus vite que les processeurs A100 que Tesla utilisait jusqu'\u00e0 pr\u00e9sent. Et ce n'est toujours pas suffisant pour les besoins de Tesla.<\/span><\/p>\n

Alors pourquoi n'ach\u00e8tent-ils pas simplement plus de GPU ? Parce que Nvidia n'a pas la capacit\u00e9 de les fournir assez rapidement.<\/span><\/p>\n

Mais Tesla n'attend pas que Nvidia augmente sa production. Depuis quelques ann\u00e9es, elle construit son propre superordinateur, Dojo, bas\u00e9 sur des puces qu'elle a con\u00e7ues en interne.<\/span><\/p>\n

Dojo devrait \u00eatre mis en ligne vers la fin de l'ann\u00e9e 2024 et sera encore plus puissant que le cluster Nvidia de Tesla.<\/span><\/p>\n

\"Performances<\/p>\n

Source : Tesla<\/p>\n

\u00catre directeur de production chez Nvidia doit \u00eatre un travail difficile en ce moment, compte tenu de la demande insatiable pour les GPU de Nvidia.\u00a0<\/span><\/p>\n

Il est int\u00e9ressant de noter que Musk aurait d\u00e9clar\u00e9 : \"Franchement, s'ils (NVIDIA) pouvaient nous fournir suffisamment de GPU, nous n'aurions peut-\u00eatre pas besoin de Dojo\".<\/span><\/p>\n

Nous avons tendance \u00e0 consid\u00e9rer Tesla comme un constructeur de voitures \u00e9lectriques, mais il semble de plus en plus qu'il s'agisse en fait d'une entreprise de supercalculateurs d'intelligence artificielle.\u00a0<\/span><\/p>\n

Il sera int\u00e9ressant de voir comment l'augmentation exponentielle de la puissance de calcul alimentera les ambitions de Musk, tant pour Tesla que pour son projet xAI.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Tesla s'appr\u00eate \u00e0 mettre en service son nouveau supercalculateur $300M lundi, afin de donner un coup de pouce \u00e0 son programme de conduite autonome int\u00e9grale (FSD). L'approche adopt\u00e9e par Tesla pour sa technologie de conduite autonome va n\u00e9cessiter une grande puissance de calcul. Elon Musk a fait une d\u00e9monstration en direct du FSD V12 de Tesla il y a quelques jours, et bien qu'il se soit tr\u00e8s bien comport\u00e9, il y a eu quelques p\u00e9pins. Le syst\u00e8me, qui est encore en phase b\u00eata, est une approche ambitieuse de la conduite autonome, car il s'appuie uniquement sur des cam\u00e9ras, sans l'aide de capteurs radar ou lidar. Dans un tweet, Musk a d\u00e9clar\u00e9,<\/p>","protected":false},"author":6,"featured_media":5000,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[99,166,188,105,106,211],"class_list":["post-4984","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-race","tag-computer-vision","tag-elon-musk","tag-machine-learning","tag-nvidia","tag-tesla"],"yoast_head":"\nTesla's $300M AI cluster supercomputer to go live | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/fr\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tesla's $300M AI cluster supercomputer to go live | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Tesla is set to flip the switch on its new $300M supercomputer on Monday in a boost to its full self-driving (FSD) program. 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