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Microsoft has unveiled the Maia 300, the third generation of its in-house AI accelerator, and said it plans to deploy potentially more than a million of them next year in multi-gigawatt installations.
The chip will become the primary inference system for Microsoft's products and services from 2027, reducing the company's reliance on buying processors from Nvidia. It is aimed at running models rather than training them.
Executive vice president Scott Guthrie said Maia 300 is built with an inference-first architecture optimised for long-context, memory-intensive and decode-heavy workloads, and that a 96-chip rack delivers seven times the rack-scale token throughput of Maia 200. Microsoft expects about 40 per cent more tokens per megawatt than leading GPU-based systems, without naming them.
5 reports filed for Monday 12 October 2026, compiled from company statements, registry filings and StartupFox reporting. Figures marked reported were not confirmed by the companies named.
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