{"id":141033,"date":"2022-06-24T00:03:52","date_gmt":"2022-06-24T05:03:52","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/06\/the-maker-of-the-worlds-largest-chip-has-made-a-major-ai-breakthrough"},"modified":"2022-06-24T00:03:52","modified_gmt":"2022-06-24T05:03:52","slug":"the-maker-of-the-worlds-largest-chip-has-made-a-major-ai-breakthrough","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/06\/the-maker-of-the-worlds-largest-chip-has-made-a-major-ai-breakthrough","title":{"rendered":"The maker of the world\u2019s largest chip has made a major AI breakthrough"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/the-maker-of-the-worlds-largest-chip-has-made-a-major-ai-breakthrough.jpg\"><\/a><\/p>\n<p>Cerebras Systems, maker of the world\u2019s largest <a href=\"https:\/\/www.techradar.com\/news\/best-processors\">processor<\/a>, has broken the record for the most complex AI model trained using a single device.<\/p>\n<p>Using one <a href=\"https:\/\/www.techradar.com\/news\/the-worlds-largest-chip-is-creating-ai-networks-larger-than-the-human-brain\">CS-2 system<\/a>, powered by the company\u2019s wafer-sized chip (<a href=\"https:\/\/www.techradar.com\/news\/the-largest-cpu-in-the-world-just-got-a-massive-upgrade\">WSE-2<\/a>), Cerebras is now able to train AI models with up to 20 billion parameters thanks to new optimizations at the software level.<\/p>\n<p>The firm says the breakthrough will resolve one of the most frustrating problems for AI engineers: the need to partition large-scale models across thousands of <a href=\"https:\/\/www.techradar.com\/news\/computing-components\/graphics-cards\/best-graphics-cards-1291458\">GPUs<\/a>. The result is an opportunity to drastically cut the time it takes to develop and train new models.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cerebras Systems, maker of the world\u2019s largest processor, has broken the record for the most complex AI model trained using a single device. Using one CS-2 system, powered by the company\u2019s wafer-sized chip (WSE-2), Cerebras is now able to train AI models with up to 20 billion parameters thanks to new optimizations at the software [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1491],"tags":[],"class_list":["post-141033","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/141033","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\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=141033"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/141033\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=141033"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=141033"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=141033"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}