{"id":164133,"date":"2023-05-18T14:25:00","date_gmt":"2023-05-18T19:25:00","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/05\/meta-bets-big-on-ai-with-custom-chips-and-a-supercomputer"},"modified":"2023-05-18T14:25:00","modified_gmt":"2023-05-18T19:25:00","slug":"meta-bets-big-on-ai-with-custom-chips-and-a-supercomputer","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/05\/meta-bets-big-on-ai-with-custom-chips-and-a-supercomputer","title":{"rendered":"Meta bets big on AI with custom chips \u2014 and a supercomputer"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/meta-bets-big-on-ai-with-custom-chips-and-a-supercomputer2.jpg\"><\/a><\/p>\n<p>At a virtual event this morning, Meta lifted the curtains on its efforts to develop in-house infrastructure for AI workloads, including generative AI like the type that <a href=\"https:\/\/techcrunch.com\/2023\/05\/11\/meta-announces-generative-ai-features-for-advertisers\/\">underpins its recently launched ad design and creation tools<\/a>.<\/p>\n<p>It was an attempt at a projection of strength from Meta, which historically has been slow to adopt AI-friendly hardware systems \u2014 hobbling its ability to keep pace with rivals such as Google and Microsoft.<\/p>\n<p><strong>\u201c<\/strong>Building our own [hardware] capabilities gives us control at every layer of the stack, from datacenter design to training frameworks,\u201d Alexis Bjorlin, VP of Infrastructure at Meta, told TechCrunch. \u201cThis level of vertical integration is needed to push the boundaries of AI research at scale.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>At a virtual event this morning, Meta lifted the curtains on its efforts to develop in-house infrastructure for AI workloads, including generative AI like the type that underpins its recently launched ad design and creation tools. It was an attempt at a projection of strength from Meta, which historically has been slow to adopt AI-friendly [\u2026]<\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,44],"tags":[],"class_list":["post-164133","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-supercomputing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/164133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=164133"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/164133\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=164133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=164133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=164133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}