Summarize this content to 2000 words in 6 paragraphs in Arabic Unlock the Editor\u2019s Digest for freeRoula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.Nvidia has unveiled the next generation of its artificial intelligence chips, marking a bet that the arrival of \u201creasoning\u201d AI systems such as DeepSeek will spur even greater demand for computing power. Jensen Huang, Nvidia\u2019s chief executive, reassured investors at the chipmaker\u2019s annual GTC conference on Tuesday that the spending spree on AI infrastructure over the past two years, and appetite for ever-faster AI chips and software, would continue to grow. Nvidia said its new Vera Rubin AI chips, named after the American astronomer who discovered dark matter, can be developed into clusters of millions of units, meaning they can be used to train much larger AI models and serve up more sophisticated responses to greater numbers of users. AI models launched this year by Chinese start-up DeepSeek spurred fears among investors that AI could advance without the need for multibillion-dollar investments in data centres that had turned Nvidia into one of the world\u2019s most valuable companies. \u201cAlmost the entire world got it wrong,\u201d Huang said in his keynote address at the event in San Jose, California. \u201cThe computation requirement, the scaling law of AI, is more resilient and in fact hyper-accelerated.\u201dHuang said purchases of graphics processing units by the four largest US cloud computing providers have surged this year, underlining tech companies\u2019 thirst for more computing power. Its most recent Blackwell AI chip was first released late last year.Huang said Rubin would be available in the second half of 2026, followed by an \u201cultra\u201d version the following year. One Rubin configuration would link 576 individual GPUs, which in effect would act as one chip, Huang said. The current Blackwell chip clusters 72 GPUs in the company\u2019s NVL72 supercomputer.Rubin will also have advanced memory and networking capacity alongside a new custom-designed central processing unit. \u201cBasically everything is brand new, except for the chassis,\u201d said Huang, who later told reporters that Nvidia was working at \u201cthe limits of physics\u201d.The Silicon Valley company also unveiled a range of new products, including PC-style workstations that would put its high-end GPUs, normally found in cloud computing facilities, on to the desks of AI researchers and scientists. Nvidia also revealed a new optical networking system that Huang said would remove a bottleneck to building ever-larger AI data centres. AI companies such as OpenAI, Anthropic and Elon Musk\u2019s xAI are looking to build facilities housing hundreds of thousands of GPUs under one roof, which they hope will allow them to build more sophisticated AI models. The optical network \u201csets us up to be able to scale up to these multi-hundred thousand GPUs and multimillion GPUs\u201d, Huang said. Nvidia\u2019s current Blackwell chip will be upgraded in the second half of this year. It also showed off its new Dynamo \u201coperating system\u201d for AI data centres, which Huang said would significantly boost the performance of Nvidia\u2019s chips. Nvidia shares were down about 3 per cent on Tuesday following Huang\u2019s keynote speech, which saw him joined on stage by Blue, a small Star Wars-inspired robot. The cameo was a nod to a partnership with Google DeepMind and Disney Research to develop an open-source physics engine for robotics simulation, dubbed \u201cNewton\u201d. \u201cThe time has come for robots,\u201d Huang said. \u201cEverybody pay attention to this space: this could very well likely be the largest industry of all.\u201dNvidia shed almost $600bn of value in a single day when panic over DeepSeek\u2019s breakthrough gripped investors in January, and its shares are down 15 per cent since the start of the year. Concerns over the potential impact of US tariffs on the global economy have dragged down stocks across the technology sector. While Nvidia\u2019s staggering growth has slowed, revenue was still up almost 80 per cent year on year in its fourth quarter, which ended in January. Video: Nvidia’s rise in the age of AI | FT Film<\/p>\n","protected":false},"excerpt":{"rendered":"
Summarize this content to 2000 words in 6 paragraphs in Arabic Unlock the Editor\u2019s Digest for freeRoula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.Nvidia has unveiled the next generation of its artificial intelligence chips, marking a bet that the arrival of \u201creasoning\u201d AI systems such as DeepSeek will spur<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":{"0":"post-246173","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-tech"},"_links":{"self":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/246173","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/comments?post=246173"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/246173\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=246173"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=246173"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=246173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}