Google's AI chip business is getting harder for Nvidia to ignore
Google's custom AI chips, known as TPUs, are gaining traction as a viable alternative to Nvidia's hardware, evidenced by a new deal with Oracle and interest from OpenAI. While Nvidia remains the market leader, Google's expansion into the broader cloud market signals a shift in the competitive landscape for AI infrastructure.
Why it matters
The diversification of AI hardware providers could reduce industry reliance on Nvidia and lower costs for companies developing large-scale AI models.
Sundar Pichai's Google is increasingly moving in on Jensen Huang's turf. Bloomberg/Getty Images; Thomas Koehler/Photothek via Getty Images Google's AI chip business is turning into a TPU-shaped headache for Nvidia. A blockbuster deal with Oracle will put Google's TPUs inside another hyperscaler. Is the market underestimating the potential of Google's chip business? Earlier this year, Nvidia CEO Jensen Huang downplayed the threat of other companies building competing AI chips, including Google. "Without Anthropic, why would there be any TPU growth at all?" he said in an interview with podcaster Dwarkesh Patel, referring to Google's custom chips. "It's 100% Anthropic." That is no longer the case. On Tuesday, Google and Oracle announced a blockbuster deal that will see Google's TPUs, short for Tensor Processing Units, made available to Oracle cloud customers from next year.
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Google Partners With Oracle to Expand Access to Custom AI Chips
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