{"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\/it\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/","title":{"rendered":"Il supercomputer Tesla $300M AI cluster entrer\u00e0 in funzione"},"content":{"rendered":"

Luned\u00ec Tesla accender\u00e0 il suo nuovo supercomputer $300M, dando cos\u00ec impulso al suo programma di guida autonoma (FSD).<\/strong><\/p>\n

L'approccio che Tesla sta adottando con la sua tecnologia di guida autonoma richieder\u00e0 molta potenza di calcolo.\u00a0<\/span><\/p>\n

Elon Musk ha fatto una dimostrazione dal vivo dell'FSD V12 di Tesla qualche giorno fa e, sebbene si sia comportato molto bene, ci sono stati alcuni problemi. Il sistema \u00e8 ancora in fase beta e rappresenta una soluzione ambiziosa per i veicoli a guida autonoma, in quanto si basa esclusivamente sulle telecamere senza l'ausilio di sensori radar o lidar.<\/span><\/p>\n

In un tweet, Musk ha dichiarato: \"Ci\u00f2 che \u00e8 sbalorditivo \u00e8 che la potenza di calcolo dell'inferenza necessaria per 8 telecamere che funzionano a 36 FPS \u00e8 solo di circa 100W sul computer AI progettato da Tesla. Questa misera quantit\u00e0 di potenza \u00e8 sufficiente per ottenere una guida sovrumana!\".<\/span><\/p>\n

Questo pu\u00f2 essere vero per quanto riguarda la potenza di calcolo richiesta nel veicolo, ma \u00e8 possibile solo una volta che l'IA \u00e8 stata addestrata correttamente.<\/span><\/p>\n

Musk ha spiegato la necessit\u00e0 dell'investimento informatico di Tesla affermando che \"per raggiungere una guida sovrumana con l'IA sono necessari miliardi di dollari all'anno di calcolo e archiviazione dei dati per l'addestramento, oltre a un gran numero di chilometri percorsi\".<\/span><\/p>\n

Ed \u00e8 qui che interviene il nuovo supercomputer di Tesla. Il computer \u00e8 composto da 10.000 GPU Nvidia H100. Questo lo rende uno dei supercomputer pi\u00f9 potenti al mondo.<\/span><\/p>\n

Tesla ha attualmente 4 milioni di auto in circolazione in grado di arricchire il suo set di dati di addestramento, con 10 milioni previsti in pochi anni. Si tratta di un sacco di video da analizzare.<\/span><\/p>\n

Tim Zaman, uno dei responsabili dell'AI Engineering di Tesla, ha dichiarato: \"Grazie all'addestramento video nel mondo reale, potremmo avere i pi\u00f9 grandi dataset di addestramento al mondo, con una capacit\u00e0 di cache hot tier superiore a 200PB - ordini di grandezza superiori agli LLM\".<\/span><\/p>\n

Il nuovo computer Tesla fornir\u00e0 340 FP64 PFLOPS per il calcolo tecnico e 39,58 INT8 ExaFLOPS per le applicazioni di intelligenza artificiale.\u00a0<\/span><\/p>\n

Se questi numeri non significano molto per voi, queste cifre sono migliori di Leonardo, che \u00e8 quarto nella lista dei migliori supercomputer del mondo.\u00a0<\/span><\/p>\n

Nvidia non riesce a tenere il passo<\/h2>\n

Le GPU H100 di Nvidia eseguono l'addestramento dell'intelligenza artificiale fino a 9 volte pi\u00f9 velocemente dei processori A100 che Tesla ha utilizzato fino a questo momento. E non \u00e8 ancora sufficiente per le esigenze di Tesla.<\/span><\/p>\n

Allora perch\u00e9 non acquistano semplicemente altre GPU? Perch\u00e9 Nvidia non ha la capacit\u00e0 di fornirle abbastanza velocemente.<\/span><\/p>\n

Ma Tesla non sta aspettando che Nvidia aumenti la sua produzione. Negli ultimi anni ha costruito un proprio supercomputer, Dojo, basato su chip progettati internamente da Tesla.<\/span><\/p>\n

Dojo dovrebbe entrare in funzione verso la fine del 2024 e sar\u00e0 ancora pi\u00f9 potente del cluster Nvidia di Tesla.<\/span><\/p>\n

\"Prestazioni<\/p>\n

Fonte: Tesla<\/p>\n

Essere il responsabile della produzione di Nvidia deve essere un lavoro difficile in questo momento, vista l'insaziabile domanda di GPU di Nvidia.\u00a0<\/span><\/p>\n

\u00c8 interessante notare che Musk ha dichiarato: \"Francamente... se loro (NVIDIA) ci fornissero un numero sufficiente di GPU, forse non avremmo bisogno di Dojo\".<\/span><\/p>\n

Tendiamo a pensare a Tesla come a un'azienda di auto elettriche, ma sempre pi\u00f9 spesso sembra che sia in realt\u00e0 un'azienda di supercomputing AI.\u00a0<\/span><\/p>\n

Sar\u00e0 interessante vedere come l'aumento esponenziale della potenza di calcolo alimenter\u00e0 le ambizioni di Musk sia con Tesla che con il suo progetto xAI.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Luned\u00ec Tesla accender\u00e0 il suo nuovo supercomputer $300M per dare impulso al suo programma di guida autonoma (FSD). L'approccio che Tesla sta adottando per la sua tecnologia di guida autonoma richieder\u00e0 molta potenza di calcolo. Elon Musk ha fatto una dimostrazione dal vivo dell'FSD V12 di Tesla qualche giorno fa e, sebbene abbia funzionato molto bene, ci sono stati alcuni problemi. Il sistema \u00e8 ancora in fase beta e rappresenta una soluzione ambiziosa per i veicoli a guida autonoma, in quanto si basa esclusivamente sulle telecamere senza l'ausilio di sensori radar o lidar. In un tweet, Musk ha dichiarato,<\/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\/it\/2023\/09\/teslas-300m-ai-cluster-supercomputer-to-go-live\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\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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