{"id":144401,"date":"2025-09-09T15:50:04","date_gmt":"2025-09-09T15:50:04","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/144401\/"},"modified":"2025-09-09T15:50:04","modified_gmt":"2025-09-09T15:50:04","slug":"nvidia-hails-another-leap-in-the-frontier-of-ai-computing-with-rubin-launch","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/144401\/","title":{"rendered":"Nvidia hails \u2018another leap in the frontier of AI computing\u2019 with Rubin launch"},"content":{"rendered":"

Nvidia <\/a>has unveiled its next generation GPU, the Rubin series, boasting marked performance improvements for AI inferencing.<\/p>\n

Rubin is a new class of GPU<\/a>, according to Nvidia, one that is purpose-built for massive-context processing, such as extensive software coding and high-speed video generation.<\/p>\n

<\/p>\n

The new GPU will work \u201chand-in-hand\u201d with the Vera CPU and be housed inside the latest Nvidia Vera Rubin NVL 144 CPX platform, the company said. This is an integrated NVIDIA MGX system that packs 8 exaflops of AI compute to provide 7.5x more AI performance than NVIDIA\u2019s GB300 NVL72 systems.<\/p>\n

It also promises 100TB of fast memory and 1.7 petabytes per second of memory bandwidth in a single rack.<\/p>\n

However, the tech giant notes that Rubin CPX will be offered in other flexible configurations for customers who want to resume their existing infrastructure.<\/p>\n

\u201cThe Vera Rubin platform will mark another leap in the frontier of AI computing \u2014 introducing both the next-generation Rubin GPU and a new category of processors called CPX,\u201d said Jensen Huang<\/a>, founder and CEO of Nvidia.<\/p>\n

\u201cJust as RTX revolutionized graphics and physical AI, Rubin CPX is the first CUDA GPU purpose-built for massive-context AI, where models reason across millions of tokens of knowledge at once.\u201d<\/p>\n

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What you need to know about the Rubin CPX<\/p>\n

Rubin CPX is set for general release in 2026 and could further solidify Nvidia\u2019s dominance in the GPU market. But its main aim appears to be to solve the challenge of deploying inference at scale.<\/p>\n

It uses a \u2018cost-efficient\u2019 monolithic die design that\u2019s packed with NVFP4 computing resources, the company said, which has been optimized to deliver extremely high performance and energy efficiency for AI<\/a> inference tasks.<\/p>\n

A key point Nvidia made during its presentation was that Rubin would enable the highest performance and token revenue for long context processing; the company said it was capable of going \u201cfar beyond what today\u2019s systems were designed to handle\u201d.<\/p>\n

With Rubin, AI coding assistants<\/a> will become sophisticated systems capable of comprehending and optimizing large-scale software projects, Nvidia claims.<\/p>\n

American generative AI company Runway, which will use Nvidia hardware in its video offerings called Rubin a \u201cmajor leap in performance\u201d, highlighting it as a powerful tool for creators.<\/p>\n

\u201cVideo generation is rapidly advancing toward longer context and more flexible, agent-driven creative workflows,\u201d said Crist\u00f3bal Valenzuela, CEO of Runway.<\/p>\n

\u201cWe see Rubin CPX as a major leap in performance, supporting these demanding workloads to build more general, intelligent creative tools. This means creators \u2014 from independent artists to major studios \u2014 can gain unprecedented speed, realism, and control in their work.\u201d<\/p>\n

Make sure to follow ITPro on Google News<\/a> to keep tabs on all our latest news, analysis, and reviews.<\/p>\n

MORE FROM ITPRO<\/p>\n","protected":false},"excerpt":{"rendered":"Nvidia has unveiled its next generation GPU, the Rubin series, boasting marked performance improvements for AI inferencing. Rubin…\n","protected":false},"author":2,"featured_media":144402,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[191,74],"class_list":{"0":"post-144401","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-computing","9":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/144401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=144401"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/144401\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/144402"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=144401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=144401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=144401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}