Microsoft moves AI inference toward its own chips

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Microsoft said it will make Maia its primary inference system, while Meta introduced two Muse models that it describes as frontier class.

Microsoft puts Maia at its inference core

Microsoft announced its Maia 300 accelerator, which it says delivers 40 percent more inference tokens per megawatt than leading GPU-based systems. Satya Nadella said Microsoft will scale Maia to multi-gigawatt deployments next year and make it the primary inference system for its products and services.

Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services.
Satya Nadella, Microsoft CEO · On X
Building on the magic of Maia 200, it delivers 40% more inference tokens per megawatt compared to leading GPU-based systems, and up to 7x the rack-scale token throughput of Maia 200.
Microsoft, Microsoft · On X

Our story: Microsoft to shift AI workloads to homegrown Maia chips, easing reliance on Nvidia

  • Meta releases Muse Wonder models

    Alexandr Wang, Shengjia Zhao, AI at Meta and 1 more

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