Anthropic in talks to use Microsoft's AI chips, The Information reports


FILE PHOTO: Anthropic logo is seen in this illustration taken March 1, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

May 21 (Reuters) - Anthropic is in ⁠talks to rent servers powered by Microsoft-designed chips to meet rising ⁠demand for its AI services, The Information reported on Thursday, in ‌what would be a major boost for the tech giant's in-house chip efforts.

The Claude creator's talks to rent the chips are still early and may not lead to an agreement, the report ​said, citing two people who spoke to executives ⁠involved in the discussions.

Microsoft said it ⁠does not comment on rumor or speculation, while Anthropic did not immediately respond ⁠to ‌a Reuters request for comment.

Landing Anthropic will be a major win for Microsoft's push to emulate the custom chip success of Alphabet and ⁠Amazon, which have built significant businesses renting out processors ​initially meant for internal ‌use to AI startups.

Demand has grown for these custom chips as companies ⁠seek alternatives ​to Nvidia's costly and low-in-supply AI processors. Anthropic has emerged as a key customer for them by striking deals with companies including Amazon and Google.

Microsoft has been deepening its ⁠ties with Anthropic in recent months by integrating ​its models into products including the Copilot AI assistant, as its long-standing partnership with OpenAI loosens and it reduces its reliance on the ChatGPT maker.

The company in ⁠January unveiled the second generation of its in-house AI chip, "Maia 200", and software tools that targeted one of Nvidia's biggest competitive advantages with developers.

Maia 200 is made by Taiwan Semiconductor Manufacturing Co using 3-nanometer chipmaking technology and uses high-bandwidth memory ​chips, albeit an older and slower generation than ⁠Nvidia's forthcoming "Vera Rubin" chips.

Microsoft has loaded its chip with a significant amount of what ​is known as SRAM, a type of memory ‌that can provide speed advantages for chatbots ​and other AI systems when they field requests from a large number of users.

(Reporting by Anhata Rooprai in Bengaluru; Editing by Devika Syamnath)

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