{"id":28680,"date":"2025-05-29T19:45:06","date_gmt":"2025-05-29T19:45:06","guid":{"rendered":"https:\/\/medexperts.pro\/?p=28680"},"modified":"2025-05-29T20:25:52","modified_gmt":"2025-05-29T20:25:52","slug":"energy-department-unveils-new-supercomputer-that-merges-with-a-i","status":"publish","type":"post","link":"https:\/\/medexperts.pro\/?p=28680","title":{"rendered":"Energy Department Unveils New Supercomputer That Merges With A.I."},"content":{"rendered":"<div><\/div>\n<p id=\"article-summary\" class=\"css-79rysd e1wiw3jv0\">The new supercomputer shows the increasing desire of government labs to adopt more technologies from commercial artificial intelligence systems.<\/p>\n<section class=\"meteredContent css-1r7ky0e\">\n<div class=\"css-s99gbd StoryBodyCompanionColumn\" data-testid=\"companionColumn-0\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">Scientific computing and artificial intelligence were once separate worlds, using different kinds of calculations on distinctly different hardware. But the two fields are steadily merging, as shown by a massive new machine coming to Berkeley, Calif.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">On Thursday, the Department of Energy\u2019s laboratory near the University of California, Berkeley, said it had selected Dell Technologies to deliver its next flagship supercomputer in 2026. The system will use <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2025\/05\/28\/technology\/nvidia-earnings-ai-chips.html\" title>Nvidia chips<\/a> tailored for A.I. calculations and the simulations common to energy research and other scientific fields.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Lawrence Berkeley National Laboratory expects the new machine \u2014 to be named for <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2015\/05\/12\/science\/jennifer-doudna-crispr-cas9-genetic-engineering.html\" title>Jennifer Doudna<\/a>, a Berkeley biochemist who shared the 2020 Nobel Prize for chemistry \u2014 to offer more than a tenfold speed boost over the lab\u2019s most powerful current system. If fully outfitted, the machine could be the Energy Department\u2019s biggest resource for tasks like training A.I. models, said Jonathan Carter, associate laboratory director for computing sciences at the Berkeley center.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">The supercomputer stands out for its technology choices, which indicate the growing desire for government labs to adopt more technologies from commercial A.I. systems. Nvidia chips, though widely used by big cloud companies as well as in supercomputers, were passed over by the Energy Department for three previous record-setting machines that were assembled by Hewlett Packard Enterprise. Dell has hardly been a player in the highest end of the supercomputer market, but it has had success in large commercial A.I. installations.<\/p>\n<\/div>\n<\/div>\n<div data-testid=\"Dropzone-1\"><\/div>\n<div class=\"css-s99gbd StoryBodyCompanionColumn\" data-testid=\"companionColumn-1\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">\u201cHPE has been sweeping the D.O.E. space,\u201d said Addison Snell, the chief executive of Intersect360 Research, which tracks the supercomputer market. \u201cThis is a big win for Dell.\u201d<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Supercomputers \u2014 which are computing systems that take up entire rooms first used for jobs like designing weapons and cracking codes \u2014 have long been symbols for national prowess in technology.<\/p>\n<div class=\"css-kbghgg\">\n<div class=\"css-121kum4\">\n<div class=\"css-171quhb\"><\/div>\n<div class=\"css-asuuk5\">\n<div class=\"css-7axq9l\" data-testid=\"optimistic-truncator-noscript\">\n<div data-testid=\"optimistic-truncator-noscript-message\" class=\"css-6yo1no\">\n<p class=\"css-3kpklk\">We are having trouble retrieving the article content.<\/p>\n<p class=\"css-3kpklk\">Please enable JavaScript in your browser settings.<\/p>\n<\/div>\n<\/div>\n<div class=\"css-1dv1kvn\" id=\"optimistic-truncator-a11y\">\n<hr \/>\n<p>Thank you for your patience while we verify access. If you are in Reader mode please exit and\u00a0<a href=\"https:\/\/myaccount.nytimes.com\/auth\/login?response_type=cookie&amp;client_id=vi&amp;redirect_uri=https%3A%2F%2Fwww.nytimes.com%2F2025%2F05%2F29%2Ftechnology%2Fenergy-department-supercomputer-ai.html&amp;asset=opttrunc\">log into<\/a>\u00a0your Times account, or\u00a0<a href=\"https:\/\/www.nytimes.com\/subscription?campaignId=89WYR&amp;redirect_uri=https%3A%2F%2Fwww.nytimes.com%2F2025%2F05%2F29%2Ftechnology%2Fenergy-department-supercomputer-ai.html\">subscribe<\/a>\u00a0for all of The Times.<\/p>\n<hr \/>\n<\/div>\n<div class=\"css-1g71tqy\">\n<div data-testid=\"optimistic-truncator-message\" class=\"css-6yo1no\">\n<p class=\"css-3kpklk\">Thank you for your patience while we verify access.<\/p>\n<p class=\"css-3kpklk\">Already a subscriber?\u00a0<a data-testid=\"log-in-link\" class=\"css-z5ryv4\" href=\"https:\/\/myaccount.nytimes.com\/auth\/login?response_type=cookie&amp;client_id=vi&amp;redirect_uri=https%3A%2F%2Fwww.nytimes.com%2F2025%2F05%2F29%2Ftechnology%2Fenergy-department-supercomputer-ai.html&amp;asset=opttrunc\">Log in<\/a>.<\/p>\n<p class=\"css-3kpklk\">Want all of The Times?\u00a0<a data-testid=\"subscribe-link\" class=\"css-z5ryv4\" href=\"https:\/\/www.nytimes.com\/subscription?campaignId=89WYR&amp;redirect_uri=https%3A%2F%2Fwww.nytimes.com%2F2025%2F05%2F29%2Ftechnology%2Fenergy-department-supercomputer-ai.html\">Subscribe<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>The new supercomputer shows the increasing desire of government labs to adopt more technologies from commercial artificial intelligence systems.Scientific computing and artificial intelligence were once separate worlds, using different kinds of calculations on distinctly different hardware. But the two fields are steadily merging, as shown by a massive new machine coming to Berkeley, Calif.On Thursday, the Department of Energy\u2019s laboratory near the University of California, Berkeley, said it had selected Dell Technologies to deliver its next flagship supercomputer in 2026. The system will use Nvidia chips tailored for A.I. calculations and the simulations common to energy research and other scientific fields.Lawrence Berkeley National Laboratory expects the new machine \u2014 to be named for Jennifer Doudna, a Berkeley biochemist who shared the 2020 Nobel Prize for chemistry \u2014 to offer more than a tenfold speed boost over the lab\u2019s most powerful current system. If fully outfitted, the machine could be the Energy Department\u2019s biggest resource for tasks like training A.I. models, said Jonathan Carter, associate laboratory director for computing sciences at the Berkeley center.The supercomputer stands out for its technology choices, which indicate the growing desire for government labs to adopt more technologies from commercial A.I. systems. Nvidia chips, though widely used by big cloud companies as well as in supercomputers, were passed over by the Energy Department for three previous record-setting machines that were assembled by Hewlett Packard Enterprise. Dell has hardly been a player in the highest end of the supercomputer market, but it has had success in large commercial A.I. installations.\u201cHPE has been sweeping the D.O.E. space,\u201d said Addison Snell, the chief executive of Intersect360 Research, which tracks the supercomputer market. \u201cThis is a big win for Dell.\u201dSupercomputers \u2014 which are computing systems that take up entire rooms first used for jobs like designing weapons and cracking codes \u2014 have long been symbols for national prowess in technology.We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and\u00a0log into\u00a0your Times account, or\u00a0subscribe\u00a0for all of The Times.Thank you for your patience while we verify access.Already a subscriber?\u00a0Log in.Want all of The Times?\u00a0Subscribe.<\/p>\n","protected":false},"author":1,"featured_media":28682,"comment_status":"close","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-28680","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts\/28680","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=28680"}],"version-history":[{"count":2,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts\/28680\/revisions"}],"predecessor-version":[{"id":28683,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts\/28680\/revisions\/28683"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/media\/28682"}],"wp:attachment":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=28680"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=28680"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=28680"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}