{"id":32255,"date":"2025-04-17T10:58:08","date_gmt":"2025-04-17T05:28:08","guid":{"rendered":"https:\/\/vajiramandravi.com\/current-affairs\/?p=32255"},"modified":"2025-05-28T11:30:42","modified_gmt":"2025-05-28T06:00:42","slug":"ironwood-tpu","status":"publish","type":"post","link":"https:\/\/vajiramandravi.com\/current-affairs\/ironwood-tpu\/","title":{"rendered":"Ironwood TPU"},"content":{"rendered":"<h2>Ironwood TPU Latest News<\/h2>\n<p>Google recently introduced Ironwood, their seventh-generation Tensor Processing Unit (TPU), marking a pivotal leap in AI technology.\u00a0<\/p>\n<h2>About Ironwood TPU<\/h2>\n<ul>\n<li>It is <strong>Google\u2019s seventh-generation Tensor Processing Unit (TPU).<\/strong>\n<ul>\n<li><strong>TPUs are custom-built chipsets<\/strong> aimed at <strong>AI and machine learning (ML) workflows.\u00a0<\/strong><\/li>\n<li>These accelerators <strong>offer extremely high parallel processing,<\/strong> especially <strong>for deep learning-related tasks<\/strong>, as well as significantly high power efficiency.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Designed specifically for inference <\/strong>\u2014 a process where AI models make predictions based on learned data \u2014 <strong>Ironwood is the most powerful, scalable, and energy-efficient TPU Google has ever developed.<\/strong><\/li>\n<li>Ironwood signifies a <strong>shift from reactive AI models<\/strong>, which respond to queries, <strong>to proactive systems<\/strong> that <strong>generate insights independently.\u00a0<\/strong><\/li>\n<li>This evolution defines what Google calls the \u201cage of inference,\u201d where <strong>AI agents autonomously retrieve and synthesise data<\/strong> to offer comprehensive answers, not just raw information.<\/li>\n<li>The Ironwood chip comes with a peak compute of 4,614 teraflops (TFLOP), which is a considerably higher throughput compared to its <strong>predecessor, Trillium.<\/strong><\/li>\n<li>Google also plans to make these chipsets<strong> available as clusters<\/strong> to maximise the processing power <strong>for higher-end AI workflows.<\/strong><\/li>\n<li>Ironwood can be scaled up to a <strong>cluster <\/strong>of 9,216 liquid-cooled chips <strong>linked with an Inter-Chip Interconnect (ICI) network.\u00a0<\/strong><\/li>\n<li>At its most expansive cluster, Ironwood chipsets can generate up to 42.5 exaflops of computing power<strong>.\u00a0<\/strong><\/li>\n<li>Google claimed that <strong>its throughput is <\/strong>more than <strong>24X of the compute generated by<\/strong> the <strong>world&#8217;s largest supercomputer, El Capitan,<\/strong> which offers 1.7 Exaflops per pod.\u00a0<\/li>\n<li>Ironwood TPUs also come with expanded memory, with each chipset offering 192GB, which is six times more than its predecessor, Trillium.<\/li>\n<\/ul>\n<p><strong>Source<\/strong>: <a href=\"https:\/\/www.thehindu.com\/sci-tech\/technology\/google-unveils-ironwood-at-cloud-next-2025-a-tpu-for-age-of-ai-inference\/article69430483.ece\" target=\"_blank\" rel=\"nofollow noopener\">TH<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ironwood TPU is Google&#8217;s 7th-gen Tensor Processing Unit, delivering faster AI performance, improved efficiency, and cutting-edge machine learning capabilities.<\/p>\n","protected":false},"author":11,"featured_media":32256,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[160,21,23],"class_list":{"0":"post-32255","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-upsc-prelims-current-affairs","8":"tag-ironwood-tpu","9":"tag-prelims-pointers","10":"tag-upsc-prelims-current-affairs","11":"no-featured-image-padding"},"acf":[],"_links":{"self":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/32255","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/comments?post=32255"}],"version-history":[{"count":0,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/32255\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media\/32256"}],"wp:attachment":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media?parent=32255"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/categories?post=32255"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/tags?post=32255"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}