Microsoft's Maia 300 AI chip: 40% more tokens per megawatt, production in 2027
Overview
Microsoft introduces Maia 300, its third-generation in-house AI accelerator, and says it delivers 40% more inference tokens per megawatt than leading GPU-based systems.
Scott Guthrie says the chip will be the primary system for handling incoming AI requests in Microsoft's products and services, reducing reliance on Nvidia and AMD GPUs, which remain central to model training. Microsoft also claims up to 7x the rack-scale token throughput of its predecessor, Maia 200. These performance figures are Microsoft's own claims, and no independent benchmark or test conditions were published.
Production rollout starts in 2027. Unlike Google's TPUs or Amazon's Inferentia and Trainium, Maia chips cannot be rented by the hour to outside customers.
Written by AI from the articles below · updated Oct 12, 11:21 AM ET
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Developments
2 developments
- Oct 12, 9:04 AM ET · 1 articleMicrosoft's new Maia 300 AI chip to roll out to production AI workloads in 2027X search: AI availability posts (now available, public beta): Microsoft's Maia 300 AI chip to roll out to production workloads in 2027
- Oct 12, 9:00 AM ET · 3 articlesMicrosoft introduces Maia 300 AI acceleratorMicrosoft: Microsoft unveils Maia 300 accelerator, claiming 40% more tokens per megawatt
Article timeline
The articles in this story. Times are ET.
Microsoft@MicrosoftOfficialMicrosoft unveils Maia 300 accelerator, claiming 40% more tokens per megawattAIMicrosoft introduces Maia 300, its next-generation AI accelerator, which it says delivers 40% more inference tokens per megawatt than leading GPU-based systems. Microsoft also says Maia 300 offers up to 7x the rack-scale token throughput of its predecessor, Maia 200.

Tom Warren@tomwarrenXMicrosoft's Maia 300 AI chip to roll out to production workloads in 2027AITom Warren reports that Microsoft's new Maia 300 AI chip will start rolling out to production AI workloads in 2027. He says the chip makes Microsoft less reliant on Nvidia's GPUs.
- CNBC · TechnologyNewsMicrosoft to rely more on its Maia chips for AI inference, reducing Nvidia dependence
AIMicrosoft says its third-generation Maia 300 accelerator will mainly handle incoming AI requests, reducing reliance on Nvidia GPUs. The chip fits 96 units per rack and runs up to seven times more AI tokens per rack than GPUs, with 40% more tokens per megawatt. Production starts in 2027, and Nvidia and AMD remain central to model training, while Maia chips are not rented to outside customers.
- The Verge · AINewsMicrosoft announces Maia 300 AI chip, aiming to rely less on Nvidia and AMD GPUs
AIMicrosoft announces its third-generation Maia 300 in-house AI chip, designed as the primary inference system for its products and services. Scott Guthrie says it delivers 40 percent more tokens per megawatt than leading GPU-based systems, with rollout to production starting in 2027. The chip uses a chiplet architecture built on TSMC's N2P process node.
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