{"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\/es\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/","title":{"rendered":"El superordenador cl\u00faster de inteligencia artificial $300M de Tesla entrar\u00e1 en funcionamiento"},"content":{"rendered":"

Tesla encender\u00e1 el lunes su nuevo superordenador $300M para impulsar su programa de conducci\u00f3n aut\u00f3noma.<\/strong><\/p>\n

El enfoque que Tesla est\u00e1 adoptando con su tecnolog\u00eda de conducci\u00f3n aut\u00f3noma va a requerir mucha potencia de c\u00e1lculo.\u00a0<\/span><\/p>\n

Elon Musk hizo una demostraci\u00f3n en directo del FSD V12 de Tesla hace unos d\u00edas y, aunque funcion\u00f3 muy bien, hubo algunos fallos. El sistema a\u00fan est\u00e1 en fase beta y es una ambiciosa propuesta para los veh\u00edculos autoconducidos, ya que se basa exclusivamente en c\u00e1maras sin la ayuda de sensores de radar o lidar.<\/span><\/p>\n

En un tuit, Musk dijo: \"Lo que tambi\u00e9n es alucinante es que la potencia de c\u00e1lculo de inferencia necesaria para 8 c\u00e1maras funcionando a 36FPS es de solo unos 100W en el ordenador de IA dise\u00f1ado por Tesla. Esta insignificante cantidad de energ\u00eda es suficiente para lograr una conducci\u00f3n sobrehumana!\".<\/span><\/p>\n

Eso puede ser cierto en cuanto a la potencia de c\u00e1lculo necesaria en el veh\u00edculo, pero s\u00f3lo es posible una vez que la IA ha sido debidamente entrenada.<\/span><\/p>\n

Musk explic\u00f3 la necesidad de la inversi\u00f3n en computaci\u00f3n de Tesla diciendo que \"alcanzar la conducci\u00f3n sobrehumana con IA requiere miles de millones de d\u00f3lares al a\u00f1o en computaci\u00f3n de entrenamiento y almacenamiento de datos, as\u00ed como un gran n\u00famero de kil\u00f3metros recorridos.\"<\/span><\/p>\n

Y ah\u00ed es donde entra en juego el nuevo superordenador de Tesla. El ordenador est\u00e1 formado por 10.000 GPU de c\u00e1lculo Nvidia H100. Esto lo convierte en uno de los superordenadores m\u00e1s potentes del mundo.<\/span><\/p>\n

En la actualidad, Tesla tiene 4 millones de coches en circulaci\u00f3n capaces de engrosar su conjunto de datos de formaci\u00f3n, y se esperan 10 millones en unos a\u00f1os. Eso es un mont\u00f3n de v\u00eddeos que revisar.<\/span><\/p>\n

Tim Zaman, uno de los responsables de ingenier\u00eda de IA de Tesla, ha declarado: \"Gracias al entrenamiento en v\u00eddeo del mundo real, es posible que tengamos los mayores conjuntos de datos de entrenamiento del mundo, con una capacidad de cach\u00e9 en caliente de m\u00e1s de 200PB, \u00f3rdenes de magnitud superiores a los LLM\".<\/span><\/p>\n

El nuevo ordenador de Tesla ofrecer\u00e1 340 FP64 PFLOPS para c\u00e1lculo t\u00e9cnico y 39,58 INT8 ExaFLOPS para aplicaciones de IA.\u00a0<\/span><\/p>\n

Si esas cifras no significan mucho para usted, estas cifras son mejores que las de Leonardo, que ocupa el cuarto lugar en la lista de los mejores superordenadores del mundo.\u00a0<\/span><\/p>\n

Nvidia no puede seguir el ritmo<\/h2>\n

Las GPU H100 de Nvidia realizan el entrenamiento de IA hasta 9 veces m\u00e1s r\u00e1pido que los procesadores A100 que Tesla ha estado utilizando hasta ahora. Y sigue sin ser suficiente para las necesidades de Tesla.<\/span><\/p>\n

Entonces, \u00bfpor qu\u00e9 no compran m\u00e1s GPU? Porque Nvidia no tiene capacidad para suministrarlas con suficiente rapidez.<\/span><\/p>\n

Pero Tesla no est\u00e1 esperando a que Nvidia aumente su producci\u00f3n. Durante los \u00faltimos a\u00f1os, ha estado construyendo su propio superordenador, Dojo, basado en chips que Tesla ha dise\u00f1ado internamente.<\/span><\/p>\n

Se espera que Dojo entre en funcionamiento a finales de 2024 y ser\u00e1 incluso m\u00e1s potente que el cl\u00faster Nvidia de Tesla.<\/span><\/p>\n

\"Rendimiento<\/p>\n

Fuente: Tesla<\/p>\n

Ser director de producci\u00f3n de Nvidia debe de ser un trabajo duro en estos momentos, con la insaciable demanda de GPU de Nvidia.\u00a0<\/span><\/p>\n

Curiosamente, Musk fue citado diciendo: \"Francamente... si ellos (NVIDIA) pudieran entregarnos suficientes GPUs, podr\u00edamos no necesitar Dojo\".<\/span><\/p>\n

Solemos pensar en Tesla como una empresa de coches el\u00e9ctricos, pero cada vez parece m\u00e1s que en realidad es una empresa de inteligencia artificial supercomputable.\u00a0<\/span><\/p>\n

Ser\u00e1 interesante ver c\u00f3mo el aumento exponencial de la potencia de c\u00e1lculo alimenta las ambiciones de Musk tanto con Tesla como con su proyecto xAI.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Tesla encender\u00e1 el lunes su nuevo superordenador $300M para impulsar su programa de conducci\u00f3n aut\u00f3noma. El enfoque que Tesla est\u00e1 adoptando con su tecnolog\u00eda de conducci\u00f3n aut\u00f3noma va a requerir mucha potencia de c\u00e1lculo. Elon Musk hizo una demostraci\u00f3n en directo del FSD V12 de Tesla hace unos d\u00edas y, aunque funcion\u00f3 muy bien, hubo algunos fallos. El sistema a\u00fan est\u00e1 en fase beta y es una ambiciosa propuesta para los veh\u00edculos autoconducidos, ya que se basa exclusivamente en c\u00e1maras, sin la ayuda de sensores de radar o lidar. En un tuit, Musk dijo,<\/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\/es\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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. The approach that Tesla is taking with its self-driving technology is going to require a lot of computing power.\u00a0 Elon Musk did a live demo of Tesla\u2019s FSD V12 a few days back, and while it performed really well, there were a few glitches. The system is still in beta and is an ambitious take on self-driving vehicles because it relies purely on cameras with no assistance from radar or lidar sensors. 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