{"id":341065,"date":"2025-12-11T06:05:08","date_gmt":"2025-12-11T06:05:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/341065\/"},"modified":"2025-12-11T06:05:08","modified_gmt":"2025-12-11T06:05:08","slug":"googles-answer-to-the-ai-arms-race-promote-the-guy-behind-its-data-center-tech","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/341065\/","title":{"rendered":"Google’s answer to the AI arms race \u2014 promote the guy behind its data center tech"},"content":{"rendered":"

Google just made a major move in the AI infrastructure arms race, elevating Amin Vahdat to chief technologist for AI infrastructure, a newly created position reporting directly to CEO Sundar Pichai, according to a memo first reported by Semafor<\/a> and later confirmed by TechCrunch. It\u2019s a signal of just how critical this work has become as Google pours up to $93 billion<\/a> into capital expenditures by the end of 2025 \u2014 a number that parent company Alphabet expects will be a whole lot bigger next year.<\/p>\n

Vahdat isn\u2019t new to the game. The computer scientist, who holds a PhD from UC Berkeley and started as a research intern at Xerox PARC back in the early \u201990s, has been quietly building Google\u2019s AI backbone for the past 15 years. Before joining Google in 2010 as an engineering fellow and VP, he was an associate professor at Duke University and later a professor and SAIC Chair at UC San Diego. His academic credentials are formidable \u2014 with what appears to be around 395 published papers<\/a> \u2014 and his research has always focused on making computers work more efficiently at massive scale.<\/p>\n

Vahdat already maintains a high profile with Google. Just eight months ago, at Google Cloud Next, he took the stage to unveil the company\u2019s seventh-generation TPU, called Ironwood, in his role as VP and GM of ML, Systems, and Cloud AI. The specs he rattled off at the event were staggering, too: over 9,000 chips per pod delivering 42.5 exaflops of compute \u2014 more than 24 times the power of the world\u2019s No. 1 supercomputer at the time, he said. \u201cDemand for AI compute has increased by a factor of 100 million in just eight years,\u201d he told the audience.<\/p>\n

Behind the scenes, as noted by Semafor, Vahdat has been orchestrating the unglamorous and essential work that keeps Google competitive, including those custom TPU chips for AI training and inference that give Google an edge over rivals like OpenAI, as well as the Jupiter network, the super-fast internal network that allows all its servers to talk to each other and move massive amounts of data around. (In a blog post<\/a> late last year, Vahdat said that Jupiter now scales to 13 petabits per second, explaining that\u2019s enough bandwidth to theoretically support a video call for all 8 billion people on Earth simultaneously.) <\/p>\n

Vahdat has also been deeply involved in the ongoing development of the Borg software system, Google\u2019s cluster management system that acts as the brain coordinating all the work happening across its data centers. And he has said he oversaw the development of Axion, Google\u2019s first custom Arm-based general-purpose CPUs designed for data centers, which the company unveiled last year<\/a> and continues to build.<\/p>\n

In short, Vahdat is central to Google\u2019s AI story.<\/p>\n

Indeed, in a market where top AI talent commands astronomical compensation and constant recruitment, Google\u2019s decision to elevate Vahdat to the C-suite may also be about retention. When you\u2019ve spent 15 years building someone into a linchpin of your AI strategy, you make sure they stay.<\/p>\n

Techcrunch event<\/p>\n

\n\t\t\t\t\t\t\t\t\tSan Francisco
\n\t\t\t\t\t\t\t\t\t\t\t\t\t|
\n\t\t\t\t\t\t\t\t\t\t\t\t\tOctober 13-15, 2026\n\t\t\t\t\t\t\t<\/p>\n","protected":false},"excerpt":{"rendered":"Google just made a major move in the AI infrastructure arms race, elevating Amin Vahdat to chief technologist…\n","protected":false},"author":2,"featured_media":341066,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[256,64202,254,255,64,63,113,105],"class_list":{"0":"post-341065","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-amin-vahdat","10":"tag-artificial-intelligence","11":"tag-artificialintelligence","12":"tag-au","13":"tag-australia","14":"tag-google","15":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/341065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=341065"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/341065\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/341066"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=341065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=341065"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=341065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}