TLDR
- Microsoft stock rose ~2% after reports that Anthropic is in talks to rent servers powered by Microsoft’s custom Maia AI chips.
- The talks are early-stage and may not result in a deal, per sources cited by The Information.
- A deal would be a win for Microsoft’s in-house chip push, which faced delays last year.
- Anthropic already uses custom chips from Amazon and Google, and is looking for more compute capacity.
- Microsoft’s Maia 200 chip runs existing AI models faster than Nvidia hardware but is not designed for training new models.
Microsoft (MSFT) stock climbed around 2% Thursday morning after The Information reported that Anthropic is in early talks to rent servers running Microsoft’s homegrown Maia AI chips.
The report, citing two people familiar with the discussions, said Anthropic wants extra computing power to support growing demand for its Claude models. Microsoft and Anthropic both declined to comment.
MSFT had been down roughly 10% on the year before the news hit. The stock pared some gains through the session but remained in positive territory.
The talks are described as early-stage. There is no guarantee they lead to a formal agreement.
For Microsoft, landing Anthropic as a chip customer would be a meaningful step. Its in-house chip program ran into delays last year, and it has been playing catch-up to Google and Amazon, both of which now rent out their own custom AI processors to external clients.
Anthropic is already a customer for those rivals. It has struck chip deals with both Amazon and Google, making it a sought-after name in the custom silicon market.
What Maia 200 Actually Does
Microsoft unveiled the second generation of its Maia chip in January — the Maia 200. It’s built by TSMC on 3-nanometer technology and uses high-bandwidth memory, though an older generation than what Nvidia is putting into its upcoming Vera Rubin chips.
The Maia 200 is loaded with SRAM, a fast type of memory that helps AI systems respond quickly when handling lots of users at once. Microsoft says it runs existing models faster than Nvidia’s hardware.
The key caveat: Maia is not designed for training new AI models, only for running them. That limits its role but doesn’t make it useless — inference workloads are growing fast as AI tools scale.
Microsoft and Anthropic’s Expanding Relationship
The two companies have been getting closer. Microsoft has been weaving Anthropic’s Claude models into its Copilot AI assistant, part of a broader effort to reduce its dependence on OpenAI as that relationship cools.
Adding a chip deal on top of that integration would deepen the tie further.
Demand for non-Nvidia compute has been rising across the industry. Nvidia’s GPUs remain dominant but are expensive and often hard to source. Custom chips from hyperscalers offer an alternative route, and AI companies have been actively shopping for options.
Anthropic renting Maia chips would also give it a potential seat at the table to shape future chip generations to fit its specific needs — a benefit it has likely already explored with Amazon and Google.
Microsoft has not confirmed the talks. The Information’s report remains the only source, and both companies have stayed quiet.
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