{"id":187742,"date":"2024-04-20T00:40:14","date_gmt":"2024-04-20T05:40:14","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/04\/intels-hala-point-the-worlds-largest-neuromorphic-computer-has-1-15-billion-neurons"},"modified":"2024-04-20T00:40:14","modified_gmt":"2024-04-20T05:40:14","slug":"intels-hala-point-the-worlds-largest-neuromorphic-computer-has-1-15-billion-neurons","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/04\/intels-hala-point-the-worlds-largest-neuromorphic-computer-has-1-15-billion-neurons","title":{"rendered":"Intel\u2019s Hala Point, the world\u2019s largest neuromorphic computer, has 1.15 billion neurons"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/intels-hala-point-the-worlds-largest-neuromorphic-computer-has-1-15-billion-neurons2.jpg\"><\/a><\/p>\n<p>Three years after <a href=\"https:\/\/www.zdnet.com\/article\/intel-rolls-out-second-gen-loihi-neuromorphic-chip\/\" rel=\"follow\">introducing<\/a> its second-generation \u201cneuromorphic\u201d computer chip, Intel <a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/newsroom\/news\/intel-builds-worlds-largest-neuromorphic-system.html#gs.83x4kb\" target=\"_blank\" rel=\"noopener nofollow\" class=\"\">on Wednesday announced<\/a> the company has assembled 1,152 of the parts into a single, parallel-processing system called Hala Point, in partnership with the US Department of Energy\u2019s Sandia National Laboratories.<\/p>\n<p>The Hala Point system\u2019s 1,152 Loihi 2 chips enable a total of 1.15 billion artificial neurons, Intel said, \u201cand 128 billion synapses distributed over 140,544 neuromorphic processing cores.\u201d That is an increase from the previous Intel multi-chip Loihi system, <a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/newsroom\/news\/intel-scales-neuromorphic-research-system-100-million-neurons.html#gs.83sm39\" target=\"_blank\" rel=\"noopener nofollow\" class=\"\">debuted in 2020<\/a>, called Pohoiki Springs, which used just 768 Loihi 1 chips.<\/p>\n<p>Sandia Labs intends to use the system for what it calls \u201cbrain-scale computing research,\u201d to solve problems in areas of device physics, computer architecture, computer science, and informatics.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Three years after introducing its second-generation \u201cneuromorphic\u201d computer chip, Intel on Wednesday announced the company has assembled 1,152 of the parts into a single, parallel-processing system called Hala Point, in partnership with the US Department of Energy\u2019s Sandia National Laboratories. The Hala Point system\u2019s 1,152 Loihi 2 chips enable a total of 1.15 billion artificial [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523,219],"tags":[],"class_list":["post-187742","post","type-post","status-publish","format-standard","hentry","category-computing","category-physics"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/187742","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\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=187742"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/187742\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=187742"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=187742"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=187742"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}