{"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\/de\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/","title":{"rendered":"Teslas KI-Cluster-Supercomputer $300M soll in Betrieb gehen"},"content":{"rendered":"

Tesla wird am Montag den Schalter seines neuen Supercomputers $300M umlegen und damit sein Programm f\u00fcr vollst\u00e4ndiges autonomes Fahren (FSD) vorantreiben.<\/strong><\/p>\n

Der Ansatz, den Tesla mit seiner selbstfahrenden Technologie verfolgt, wird eine Menge Rechenleistung erfordern.\u00a0<\/span><\/p>\n

Elon Musk hat vor ein paar Tagen eine Live-Demo von Teslas FSD V12 vorgef\u00fchrt, und obwohl es wirklich gut funktionierte, gab es ein paar Pannen. Das System befindet sich noch in der Beta-Phase und ist ein ehrgeiziger Ansatz f\u00fcr selbstfahrende Fahrzeuge, da es sich ausschlie\u00dflich auf Kameras ohne Unterst\u00fctzung durch Radar- oder Lidarsensoren st\u00fctzt.<\/span><\/p>\n

In einem Tweet sagte Musk: \"Was ebenfalls verbl\u00fcffend ist, ist die Tatsache, dass die f\u00fcr 8 Kameras, die mit 36 FPS laufen, ben\u00f6tigte Rechenleistung auf dem von Tesla entworfenen KI-Computer nur etwa 100 W betr\u00e4gt. Diese winzige Menge an Energie reicht aus, um \u00fcbermenschliches Fahren zu erreichen!<\/span><\/p>\n

Das mag f\u00fcr die im Fahrzeug ben\u00f6tigte Rechenleistung zutreffen, ist aber nur m\u00f6glich, wenn die KI richtig trainiert wurde.<\/span><\/p>\n

Musk erl\u00e4uterte die Notwendigkeit der Investitionen von Tesla in die Datenverarbeitung mit den Worten: \"Um \u00fcbermenschliches Fahren mit KI zu erreichen, sind Milliarden von Dollar pro Jahr f\u00fcr Trainingscomputer und Datenspeicherung sowie eine gro\u00dfe Anzahl von gefahrenen Kilometern erforderlich.\"<\/span><\/p>\n

Und hier kommt der neue Supercomputer von Tesla ins Spiel. Der Computer besteht aus 10.000 Nvidia H100 Compute GPUs. Das macht ihn zu einem der leistungsst\u00e4rksten Supercomputer der Welt.<\/span><\/p>\n

Tesla hat derzeit 4 Millionen Autos auf der Stra\u00dfe, die den Trainingsdatensatz erweitern k\u00f6nnen, und erwartet in einigen Jahren 10 Millionen. Das sind eine Menge Videos, die man sich ansehen muss.<\/span><\/p>\n

Tim Zaman, einer der KI-Engineering-Manager bei Tesla, sagte: \"Dank des Videotrainings in der realen Welt verf\u00fcgen wir m\u00f6glicherweise \u00fcber die gr\u00f6\u00dften Trainingsdatens\u00e4tze der Welt und eine Hot-Tier-Cache-Kapazit\u00e4t von \u00fcber 200 PB - um Gr\u00f6\u00dfenordnungen mehr als LLMs.\"<\/span><\/p>\n

Der neue Tesla-Rechner wird 340 FP64 PFLOPS f\u00fcr technische Berechnungen und 39,58 INT8 ExaFLOPS f\u00fcr KI-Anwendungen liefern.\u00a0<\/span><\/p>\n

Auch wenn Ihnen diese Zahlen nicht viel sagen, so sind sie doch besser als der Leonardo, der auf der Liste der besten Supercomputer der Welt an vierter Stelle steht.\u00a0<\/span><\/p>\n

Nvidia kann nicht mithalten<\/h2>\n

Die H100-GPUs von Nvidia f\u00fchren das KI-Training bis zu neunmal schneller durch als die A100-Prozessoren, die Tesla bisher verwendet hat. Und das ist immer noch nicht ausreichend f\u00fcr Teslas Bed\u00fcrfnisse.<\/span><\/p>\n

Warum kaufen sie dann nicht einfach mehr GPUs? Weil Nvidia nicht die Kapazit\u00e4t hat, sie schnell genug zu liefern.<\/span><\/p>\n

Aber Tesla wartet nicht darauf, dass Nvidia seine Produktion erh\u00f6ht. In den letzten Jahren hat das Unternehmen seinen eigenen Supercomputer Dojo gebaut, der auf Chips basiert, die Tesla selbst entwickelt hat.<\/span><\/p>\n

Dojo soll gegen Ende 2024 online gehen und wird noch leistungsf\u00e4higer sein als der Nvidia-Cluster von Tesla.<\/span><\/p>\n

\"Tesla<\/p>\n

Quelle: Tesla<\/p>\n

Produktionsleiter bei Nvidia zu sein, muss angesichts der unstillbaren Nachfrage nach Nvidias GPUs ein harter Job sein.\u00a0<\/span><\/p>\n

Interessanterweise wurde Musk mit den Worten zitiert: \"Ehrlich gesagt... wenn sie (NVIDIA) uns gen\u00fcgend GPUs liefern k\u00f6nnten, br\u00e4uchten wir Dojo vielleicht nicht.\"<\/span><\/p>\n

Wir denken bei Tesla eher an ein Unternehmen f\u00fcr Elektroautos, aber es scheint, dass es sich in Wirklichkeit um ein Unternehmen f\u00fcr Supercomputer-KI handelt.\u00a0<\/span><\/p>\n

Es wird interessant sein zu sehen, wie der exponentielle Anstieg der Rechenleistung Musks Ambitionen sowohl bei Tesla als auch bei seinem xAI-Projekt vorantreibt.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Tesla wird am Montag seinen neuen Supercomputer $300M in Betrieb nehmen, um sein Programm f\u00fcr vollst\u00e4ndiges autonomes Fahren (FSD) voranzutreiben. Der Ansatz, den Tesla mit seiner selbstfahrenden Technologie verfolgt, wird eine Menge Rechenleistung erfordern. Elon Musk hat vor ein paar Tagen eine Live-Demo von Teslas FSD V12 gezeigt, die zwar sehr gut funktionierte, aber auch ein paar Pannen aufwies. Das System befindet sich noch in der Beta-Phase und ist ein ehrgeiziger Ansatz f\u00fcr selbstfahrende Fahrzeuge, da es sich ausschlie\u00dflich auf Kameras ohne Unterst\u00fctzung durch Radar- oder Lidarsensoren st\u00fctzt. In einem Tweet sagte Musk,<\/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\/de\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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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