Google’s answer to the AI ​​Watch Race – promoting the man behind data center technology

Google just made a major move in the AI ​​infrastructure arms race, elevating Amin Vahdat to report technology for AI infrastructure, reporting the newly created CEO position to CEO Memo Reported by SEMAFORSee rank-. This is a signal of how critical this work has become for Google $93 Billion For the capital expenditure by the end of 2025 – the alphabetical number of the Parental company expects to be greater next year.

Vahdat is not new to gaming. The computer scientist, who holds a PhD from UC Berkeley and started as a research intern at Xerox Parc Bali in the early ’90s, has calmed Google’s AI backbone in the past. Before joining Google in 2010 as an engineering associate and VP, he was an associate professor at Duke University and a Professor and Sauce chair at UC San Diego. Her academic credentials are formidable – what they look like 395 Papers published – And his research is always focused on making computers more effective on a large scale.

Vahdat has maintained a high profile with Google. Just eight months ago, at Google Cloud, he faced the seventh generation TPU, called Iehwood, in his role as VP & GM of ML, systems, and cloud AI. Specs planned at the event are staggering, more than 9,000 chips delivered 42.5 Exaflops Compute – more than 24 times the power of the number one supercomputer in the world. “The demand for ai has increased by a factor of 100 million in eight years,” he told the audience.

Behind the scenes, which was recorded with SEMAFOR, Vahdat has implemented a malicious and infrastructural work that allows the competitors, as well as the main server to talk to each other and to transfer large amounts of data. (In a Blog Post Late last year, Vahdat said that Jupiter now scales to 13 petabs per second, explaining the apparent bandwidth for everything from YouTube and search to the deepest AI Training Sports across hundreds of data center fabrics around the world.

Vahat is also very involved in the development of the Borg software system, Google’s cluster management system that acts as the brain that happens in the data center and the project has to implement the tasks that need to be done. And he has said that he spends on the development of award-winning, general-purpose arm-based CPUs designed for data centers, which the company said Opened last year and continue to build.

In short, vahat is central to the Google AI story.

Indeed, in a market where AI AI talent commands and is constantly recruiting, Google’s decision to add Vahdat to the C-Suite could also be a retention. If you’ve been waiting 15 years to raise people to the lincchpin of an AI strategy, you should stick with it.