{"id":103398,"date":"2025-03-13T10:42:48","date_gmt":"2025-03-13T10:42:48","guid":{"rendered":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/?p=103398"},"modified":"2025-03-13T10:42:49","modified_gmt":"2025-03-13T10:42:49","slug":"meta-testa-1-chip-ai-interno-per-ridurre-costi-e-dipendenza-da-nvidia","status":"publish","type":"post","link":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/meta-testa-1-chip-ai-interno-per-ridurre-costi-e-dipendenza-da-nvidia\/","title":{"rendered":"Meta testa 1 chip AI interno per ridurre costi e dipendenza da Nvidia"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Meta ha avviato i test sul suo primo chip di addestramento AI interno, un passo cruciale per ridurre la dipendenza da fornitori esterni come Nvidia. L\u2019obiettivo \u00e8 abbattere i costi infrastrutturali e migliorare le capacit\u00e0 di elaborazione AI, con applicazioni nelle raccomandazioni e nei sistemi di intelligenza artificiale generativa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Secondo fonti Reuters, Meta ha gi\u00e0 avviato una distribuzione limitata del chip e ne aumenter\u00e0 la produzione in caso di test positivo. Il progetto si inserisce in un piano pi\u00f9 ampio che prevede investimenti fino a 65 miliardi di dollari nelle infrastrutture AI nel 2025. Il nuovo chip, prodotto in collaborazione con TSMC, \u00e8 un acceleratore dedicato, pi\u00f9 efficiente rispetto alle tradizionali GPU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Meta ha gi\u00e0 implementato un chip AI per l\u2019inferenza nei suoi sistemi di raccomandazione su Facebook e Instagram. L\u2019azienda punta ora a usare il chip di addestramento per ottimizzare modelli avanzati, incluso il chatbot Meta AI, a partire dal 2026.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nonostante gli sforzi, il percorso di Meta nel design dei chip ha incontrato ostacoli in passato, con progetti annullati e una dipendenza persistente dalle GPU Nvidia. Tuttavia, il crescente dibattito sull\u2019efficacia delle attuali strategie di scaling AI potrebbe rafforzare l\u2019approccio di Meta, orientato a soluzioni pi\u00f9 efficienti e personalizzate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2014<br><strong>Fonti:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reuters,\u00a0<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/meta-begins-testing-its-first-in-house-ai-training-chip-2025-03-11\/\" target=\"_blank\" rel=\"noreferrer noopener\">&#8220;Meta testa il suo primo chip AI interno&#8221;<\/a><\/li>\n\n\n\n<li>Dichiarazioni di Chris Cox, Chief Product Officer di Meta<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>T<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Meta ha avviato i test sul suo primo chip di addestramento AI interno, un passo cruciale per ridurre la dipendenza da fornitori esterni come Nvidia. L\u2019obiettivo \u00e8 abbattere i costi infrastrutturali e migliorare le capacit\u00e0 di elaborazione AI, con applicazioni nelle raccomandazioni e nei sistemi di intelligenza artificiale generativa. Secondo fonti Reuters, Meta ha gi\u00e0 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":103399,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[51],"tags":[181],"class_list":["post-103398","post","type-post","status-publish","format-standard","has-post-thumbnail","category-newstecneaiopenmind","tag-meta"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Meta testa 1 chip AI interno per ridurre costi e dipendenza da Nvidia &#8212; AIopenmind<\/title>\n<meta name=\"description\" content=\"Meta testa il suo primo chip AI interno per ridurre i costi e la dipendenza da Nvidia, puntando su raccomandazioni e AI generativa.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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