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Google targets Nvidia customers with TPU sales effort, signaling a major shift in AI chip wars

Alphabet CEO Sundar Pichai announced Google will sell its Tensor Processing Units directly to external customers, targeting Nvidia's key clients. The company plans to ship 4.3 million TPUs in 2026 and 35 million by 2028, with Morgan Stanley estimating $13 billion in revenue from 500,000 chips by 2027. This move positions Google as a direct chip merchant rivaling Nvidia in the AI hardware market.

read2 min views1 publishedJul 13, 2026
Google targets Nvidia customers with TPU sales effort, signaling a major shift in AI chip wars
Image: Cryptobriefing (auto-discovered)

Alphabet's decision to sell its custom AI chips directly to external customers could reshape the semiconductor landscape and ripple through crypto mining economics

Google just stopped playing defense. On April 29, Alphabet CEO Sundar Pichai announced the company will begin selling its Tensor Processing Units directly to select customers’ data centers, a move that transforms Google from a cloud landlord into a full-blown chip merchant. The target list reportedly includes some of Nvidia’s most valuable relationships.

The numbers tell the story #

Google’s ambitions here aren’t modest. The company plans to ship 4.3 million TPUs in 2026, then ramp to more than 35 million units by 2028. That’s roughly an eightfold increase in two years.

Morgan Stanley estimates that selling 500,000 TPU chips alone could generate approximately $13 billion in revenue for Google by 2027.

Anthropic, the AI safety lab behind Claude, has reportedly committed to deploying up to one million TPUs and investing in approximately 3.5 gigawatts of power capacity starting in 2027. Meta is also said to be in discussions about substantial TPU commitments.

Most of the revenue from this push is expected to land in 2027, with initial shipments to customer data centers happening within this year. Pichai unveiled the strategy during Google’s Q1 earnings call.

A broader shift away from Nvidia dependence #

Google has been hoarding TPUs for internal use since the mid-2010s. The internal groundwork for this commercial move started back in 2022, when Google reorganized to give Google Cloud greater control over TPU allocation.

Google isn’t alone in trying to chip away at Nvidia’s position. Amazon has its Trainium and Inferentia chips. Microsoft has its Maia accelerator. But Google’s TPUs have powered internal workloads including Search, YouTube recommendations, and Gemini model training for years.

The difference now is that Google is willing to let outsiders buy the silicon rather than just rent access through Google Cloud, putting Google in direct competition with Nvidia on hardware sales rather than just cloud services.

What this means for investors #

The $13 billion revenue projection from Morgan Stanley for 2027 is eye-catching, but the real signal is the scale of deployment Google is planning. Going from 4.3 million to 35 million TPUs shipped in two years suggests Google believes the AI accelerator market is far larger than any single vendor can serve.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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