Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027

What happened

Microsoft plans to deploy Azure Maia AI chips at multi-gigawatt scale starting in 2027, making them its main inference system across its products, executive Scott Guthrie writes. Maia 200 already runs Microsoft Copilot in the US, Europe, and Australia, with GitHub Copilot and Foundry following by year's end. Maia 300 ships in 2027 for long inputs, fast chats, and agentic tasks; Microsoft claims 40 percent more tokens per megawatt than leading GPU systems and up to seven times the tokens per 96-chip rack compared with a Maia 200 rack.

Reported by 3 sources

The story so far

Microsoft announced Maia 300, its third-generation in-house AI chip, with production rollout starting in 2027, alongside plans to expand the Maia family to multi-gigawatt deployments that year and make it the primary inference system for Microsoft’s products and services. Microsoft claims Maia 300 will produce 40 percent more tokens per megawatt than leading GPU-based systems and up to seven times Maia 200’s rack-scale token throughput in a full 96-accelerator configuration. Satya Nadella described the efficiency gain as 40 percent more tokens per watt. Built on TSMC’s N2P process, Maia 300 uses a chiplet architecture that separates compute, memory-controller and I/O functions, and targets long inputs, fast chats and agentic tasks. Maia 200 already runs Microsoft Copilot in the US, Europe and Australia, according to Microsoft executive Scott Guthrie, with GitHub Copilot and Foundry scheduled to follow by the end of 2026.

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