Microsoft announces Maia 300 and plans multi-gigawatt Maia deployments starting in 2027

1. 23:24
   The Decoder

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

   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.

2. 22:40
   Mustafa Suleyman · X

   Microsoft introduces Maia 300 with 40% more tokens per watt

   Mustafa Suleyman calls Microsoft’s new silicon 🔥 and highlights “40% more tokens per watt!” In the quoted announcement, Satya Nadella says Maia 300 delivers 40% more tokens per watt than leading GPU-based systems, with multi-gigawatt Maia deployments planned starting next calendar year as the primary inference system for Microsoft’s products and services. He says Maia 200 is already being deployed across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across Teams and Copilot experiences. https://twitter.com/satyanadella/status/2109631106404487523

3. 21:00
   The Verge · AI

   Microsoft announces Maia 300 AI chip to reduce reliance on Nvidia GPUs

   Microsoft announced Maia 300, its third-generation in-house AI chip, with production rollout starting in 2027 and plans to make Maia its primary AI inference system. Microsoft expects 40 percent more tokens per megawatt than leading GPU-based systems and up to 7x Maia 200’s rack-scale token throughput in a full 96-accelerator configuration. Built on TSMC’s N2P process node, Maia 300 separates compute, memory controller, and I/O functions through a new chiplet architecture.

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