Microsoft to deploy its in-house Maia AI chips at multi-GW scale from next year; Maia 300 volume deployment in 2027 (reported)

Verified (fact)

On October 12 (local time), CEO Satya Nadella said on X and the official blog that Microsoft is making its largest-ever investment in its in-house AI chip, Azure Maia. What is new beyond yesterday's Maia 300 announcement is the deployment plan. Starting next year, the Maia family will be deployed at a scale of multiple GW. Maia 200 is currently used in production services such as Microsoft Copilot. The next-generation Maia 300 will begin volume deployment in 2027 and is to become the main inference system for the company's products and services.

Needs fact-check (claim)

Microsoft claims Maia 300 delivers 40% more tokens per watt than leading GPU-based systems (the comparison systems and measurement conditions are not given in the reports).

Why it matters (interpretation)

A hyperscaler pledging to deploy its own chips by the gigawatt signals that the push to lower inference costs and reduce dependence on NVIDIA GPUs is moving into large-scale deployment.

Sources

• Press 마이크로소프트, 자체 AI 칩 ‘마이아’ 멀티기가와트급 확대…2027년 추론 인프라 주력으로 AI News Korea
• Press MS, 자체 AI 칩 대규모 배치 선언...차세대 '마이아 300' 공개 AI Times (Korea)

Story thread

1. 2026-10-12 Microsoft announces Maia 300, its third-generation in-house AI chip, as the 'primary inference system' for its services (report)
2. 2026-10-13 Microsoft to deploy its in-house Maia AI chips at multi-GW scale from next year; Maia 300 volume deployment in 2027 (reported)

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