Broadcom secures long-term Google AI chips deal through 2031, expands Anthropic partnership

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Broadcom has signed a multi-year agreement with Google to develop custom AI chips and components for next-generation AI racks through 2031. The chipmaker also expanded its deal with Anthropic, providing 3.5 gigawatts of AI computing capacity starting in 2027. The agreements cement Broadcom's position in AI infrastructure as demand for alternatives to Nvidia accelerates.

Broadcom Locks in Google Partnership for Custom AI Chips Through 2031

Broadcom announced on Monday it has signed a long-term agreement with Google to develop and supply future generations of custom AI chips and other components for the company's next-generation AI racks through 2031

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. The deal significantly extends the chipmaker's role as a design partner for Google's Tensor Processing Units (TPUs), which have become critical alternatives to Nvidia's dominant graphics processors in the AI market. Financial terms were not disclosed, though shares of AVGO rose approximately 3% in extended trading following the announcement

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Source: ET

Source: ET

The agreement provides Broadcom with what analysts describe as "multi-year AI supply visibility" across Google's highest-value AI businesses. BofA Securities analyst Vivek Arya noted that the deal solidifies Broadcom's role as the main TPU design partner for Google, addressing concerns that the tech giant might insource chip development or diversify to other partners like MediaTek

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. TPU sales have become a crucial growth engine of Google's cloud revenue as the company seeks to prove its AI investments are generating returns.

Anthropic Deal Delivers 3.5 Gigawatts of AI Computing Capacity

Alongside the Google agreement, Broadcom signed an expanded deal with Anthropic to provide the AI startup access to approximately 3.5 gigawatts of AI computing capacity drawing on Google's AI processors, starting in 2027

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. The arrangement builds on Anthropic's commitment to invest $50 billion in strengthening U.S. computing infrastructure as demand for its AI model Claude has accelerated dramatically. The startup's run-rate revenue now surpasses $30 billion in 2026, up from approximately $9 billion at the end of 2025

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Source: Benzinga

Source: Benzinga

Broadcom CEO Hock Tan mentioned during an earnings call last month that the company expected to deliver one gigawatt in Google chips for Anthropic in 2026 and three gigawatts in 2027

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. The chipmaker had previously secured a $10 billion order from Anthropic for custom chips in December. Anthropic trains and runs Claude on a range of AI hardware, including Amazon Web Services' Trainium, Google TPUs, and Nvidia GPUs, though Amazon remains its primary cloud provider and training partner

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Repeating the Apple Playbook in AI Infrastructure

JPMorgan analyst Harlan Sur drew parallels between Broadcom's current AI strategy and its historically successful relationship with Apple, noting that the company's partnership with the iPhone maker evolved through multiple renewals and upsized commitments as Apple grew more dependent on its RF technology

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. The same pattern now appears to be playing out with AI workloads. By combining compute silicon with networking components inside Google's AI racks, Broadcom isn't just a supplier—it's embedded in the architecture itself, creating a design-in runway that extends across the full AI stack

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Source: Benzinga

Source: Benzinga

Demand for custom chips such as Google's TPUs has surged in recent years as businesses seek alternatives to Nvidia's pricier graphics processors for AI workloads

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. The agreements position Broadcom to benefit from the infrastructure buildout required to support generative AI models at scale. Sur believes the Google agreement reinforces confidence in AI revenues surpassing $120 billion by 2027, while Arya suggests Broadcom should be able to generate earnings of more than $30 per share by 2030 with its custom ASIC programs providing multi-year visibility

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. The disclosure underscores the surging demand for infrastructure that can run generative AI models as competition in the AI chip market intensifies.

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