Broadcom Expands Chip Deals with Google and Anthropic

• Broadcom CEO previously disclosed that Anthropic placed a $10 billion order for custom chips in December, though Monday's filing did not specify a dollar amount
• The computing capacity allocation includes one gigawatt in Google chips for Anthropic in 2026 and three gigawatts in 2027
• Anthropic's Claude app became the top free U.S. app in Apple's App Store in February, reflecting the AI startup's rapid growth this year

Summary: Broadcom Expands AI Chip Partnership with Google and Anthropic

Key Developments:

Broadcom announced Monday two significant agreements in the artificial intelligence chip sector. The company will produce future versions of AI chips for Google, while simultaneously expanding its partnership with Anthropic to provide approximately 3.5 gigawatts of computing capacity powered by Google's AI processors.

Companies and Stakeholders:

• Broadcom (AVGO): Leading chipmaker expanding its AI infrastructure footprint
• Google: Primary customer for custom AI chip production
• Anthropic: AI startup benefiting from expanded computing capacity access

Financial Details:

While Monday's filing did not disclose dollar amounts for the latest deals, Broadcom CEO Hock Tan previously revealed in December that Anthropic had placed a $10 billion order for custom chips. During an earnings call last month, Tan outlined a deployment timeline of one gigawatt in Google chips for Anthropic in 2026, scaling to three gigawatts in 2027.

Market Context:

The agreements highlight surging demand for generative AI infrastructure. Anthropic has experienced significant growth in 2024, with its Claude app reaching the top position among free U.S. apps in Apple's App Store in February following publicity around a Pentagon dispute.

Implications:

These expanded partnerships position Broadcom as a critical supplier in the AI infrastructure buildout, particularly for custom chip solutions. The massive computing capacity commitments underscore the capital-intensive nature of AI development and the competitive race among tech companies to secure adequate processing power for next-generation AI models.