{"id":63880,"date":"2022-07-04T12:33:55","date_gmt":"2022-07-04T09:33:55","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=63880"},"modified":"2025-09-06T11:22:11","modified_gmt":"2025-09-06T08:22:11","slug":"us-to-build-a-supercomputer-ten-times-more-powerful-than-todays-systems","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/us-to-build-a-supercomputer-ten-times-more-powerful-than-todays-systems\/","title":{"rendered":"US to build a supercomputer ten times more powerful than today\u2019s systems"},"content":{"rendered":"<p>The U.S. Department of Energy <a href=\"https:\/\/sam.gov\/opp\/8c35a6cc1692492e94c337ba645ecce5\/view\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">\u0437\u0430\u043f\u0440\u043e\u0441\u0438\u043b\u043e<\/a> information from suppliers to build a supercomputer with a capacity of more than 10 exaflops. The installation is planned to be launched by 2030.<\/p>\n<p>According to the document, the department is interested in deploying one or more supercomputers capable of solving high-precision tasks five to ten times faster than current systems.<\/p>\n<p>By 2030 they expect to assemble a machine with 10\u201320 exaflops. After 2030, the plan is to boost performance to 100 exaflops, to be achieved &#8220;through hardware and software acceleration&#8221;.<\/p>\n<p>Power consumption is expected to be 20\u201360 MW.<\/p>\n<p>The department also said it aims to move away from &#8220;monolithic installations&#8221; toward modular systems. This would accelerate the adoption of innovations in hardware and software.<\/p>\n<p>As a result, the component refresh cycle for the supercomputer could fall from four- to five-year intervals to 12\u201324 months, the department said.<\/p>\n<p>The information the Department of Energy is seeking from suppliers covers prospective directions for 2025\u20132030:<\/p>\n<ul class=\\\"wp-block-list\\\">\n<li>types of processors, memory and storage;<\/li>\n<li>interconnect options;<\/li>\n<li>system-on-a-chip combinations;<\/li>\n<li>promising process technologies;<\/li>\n<li>expectations regarding bandwidth;<\/li>\n<li>potential node configuration, and more.<\/li>\n<\/ul>\n<p>The document also notes that future installations will require a software stack capable of handling a wide range of tasks in large-scale modelling, machine learning and data analytics. They must be fault-tolerant to minimise manual labour.<\/p>\n<p>Vendors must submit their proposals by the end of July 2022.<\/p>\n<p>Earlier in May, the American supercomputer Frontier <a href=\"https:\/\/forklog.com\/en\/news\/american-supercomputer-tops-top500-ranking\">took top spot in the Top500<\/a> rankings. It was the first installation to reach a peak of 1.1 exaflops in the Linmark test.<\/p>\n<p>In June, the American startup Cerebras <a href=\"https:\/\/forklog.com\/en\/news\/cerebras-breaks-record-for-training-the-largest-ai-model-on-a-single-device\">trained the &#8220;largest AI model&#8221; on a single device<\/a>, setting a world record.<\/p>\n<p>In May 2021, scientists unveiled an AI supercomputer that <a href=\"https:\/\/forklog.com\/en\/news\/a-new-ai-supercomputer-will-create-the-largest-3d-map-of-the-observable-universe\">will help construct the largest-ever 3D map of the visible universe<\/a> to study dark energy.<\/p>\n<p>Subscribe to ForkLog news on Telegram: <a href=\"https:\/\/t.me\/forklogAI\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">ForkLog AI<\/a> \u2014 all the news from the world of AI!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The U.S. Department of Energy has requested information from suppliers for a supercomputer with a capacity of more than 10 exaflops. The installation is planned to be launched by 2030.<\/p>\n","protected":false},"author":1,"featured_media":26216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,634],"class_list":["post-63880","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-supercomputers"],"aioseo_notices":[],"amp_enabled":true,"views":"27","promo_type":"1","layout_type":"1","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/63880","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=63880"}],"version-history":[{"count":1,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/63880\/revisions"}],"predecessor-version":[{"id":63881,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/63880\/revisions\/63881"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/26216"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=63880"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=63880"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=63880"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}