# Anthropic Locks In 3.5GW of TPU Capacity with Google and Broadcom

> Anthropic is buying compute at industrial scale. The company has expanded its partnership with Google and Broadcom to secure multiple gigawatts of next-generation TPU capacity, headlined by 3.5 gigawatts coming online in 2027. The vast majority of that new infrastructure will sit in the United States, extending a $50 billion American AI commitment Anthropic made in November 2025. The spending tracks a business growing at an unusual clip. Anthropic says its run-rate revenue passed $30 billion in 2026, up from around $9 billion at the end of 2025, and that more than a thousand business customers now each spend over $1 million a year, a group that doubled in under two months. To feed that demand, Claude runs across a deliberately diverse hardware base: Amazon's Trainium chips, Google's TPUs, and Nvidia GPUs, spanning all three major clouds. The move fits a broader pattern of frontier labs pushing upstream into hardware to escape the GPU crunch that executives keep naming as the single biggest brake on scaling. Locking in gigawatts years ahead is expensive insurance, and it signals that the constraint on AI right now is less about ideas than about electricity and silicon.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Anthropic · Published Wednesday, July 8, 2026_

## Wortins' read

Anthropic is buying compute at industrial scale. The company has expanded its partnership with Google and Broadcom to secure multiple gigawatts of next-generation TPU capacity, headlined by 3.5 gigawatts coming online in 2027. The vast majority of that new infrastructure will sit in the United States, extending a $50 billion American AI commitment Anthropic made in November 2025. The spending tracks a business growing at an unusual clip. Anthropic says its run-rate revenue passed $30 billion in 2026, up from around $9 billion at the end of 2025, and that more than a thousand business customers now each spend over $1 million a year, a group that doubled in under two months. To feed that demand, Claude runs across a deliberately diverse hardware base: Amazon's Trainium chips, Google's TPUs, and Nvidia GPUs, spanning all three major clouds. The move fits a broader pattern of frontier labs pushing upstream into hardware to escape the GPU crunch that executives keep naming as the single biggest brake on scaling. Locking in gigawatts years ahead is expensive insurance, and it signals that the constraint on AI right now is less about ideas than about electricity and silicon.

## Source

[Read the full story at Anthropic](https://www.anthropic.com/news/google-broadcom-partnership-compute)

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