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Technology|April 7, 2026|2 min read

Anthropic Signs Multi-Gigawatt TPU Deal with Google and Broadcom, Revenue Hits $30B Run Rate

AI company Anthropic has signed an agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity starting in 2027, while revealing its revenue run rate has surged to over $30 billion, up from approximately $9 billion at the end of 2025.

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Anthropic Signs Multi-Gigawatt TPU Deal with Google and Broadcom, Revenue Hits $30B Run Rate

Anthropic has announced a significant partnership with Google and Broadcom that will provide the AI company with multiple gigawatts of next-generation Tensor Processing Unit (TPU) capacity expected to come online starting in 2027.

The deal represents a major expansion of Anthropic's computing infrastructure as the company continues to scale its Claude AI assistant and other AI services. The partnership will leverage Broadcom's chip manufacturing capabilities and Google's TPU technology to meet Anthropic's growing computational demands.

Explosive Revenue Growth

Alongside the infrastructure announcement, Anthropic revealed that its revenue run rate has crossed $30 billion, representing remarkable growth from approximately $9 billion at the end of 2025. This dramatic increase underscores the rapid adoption of Anthropic's AI services and positions the company as a major competitor in the AI market.

Strategic Implications

The multi-gigawatt TPU capacity agreement signals Anthropic's confidence in sustained demand for its AI services and its commitment to maintaining competitive performance. The partnership with Google and Broadcom also highlights the critical importance of specialized AI hardware in the current market landscape.

The deal is expected to provide Anthropic with significant computational advantages as it continues to develop and deploy advanced AI models, potentially enabling larger and more sophisticated versions of its Claude AI assistant.

Industry Impact

This announcement comes at a time of intense competition in the AI sector, with companies racing to secure adequate computing resources to train and deploy increasingly powerful AI models. The partnership demonstrates the strategic value of long-term capacity agreements in ensuring competitive positioning in the rapidly evolving AI market.

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