TREE NEWS reports: Microsoft is preparing to install the newest version of its in-house chips across its data centers, aiming to power its AI software mainly with its own hardware. The company expects to stockpile multi-gigawatt volumes of Maia chips, with Maia 300, designed for inference, rolling out next year. Microsoft says Maia 300 can deliver 40% more tokens per megawatt than leading GPU-based systems, and it currently does not plan to rent the underlying compute directly to cloud customers.
Microsoft to Deploy Multi-Gigawatt Maia Chips Across Its Data Centers
Microsoft's decision to keep Maia compute off the rental market is the more consequential detail: it treats inference capacity as an internal cost advantage rather than a merchant cloud product, potentially tightening external supply of accelerator capacity even as hyperscaler demand grows. The efficiency claim, if it holds in production, shifts the competitive axis from raw chip availability toward tokens per megawatt, a metric that favors firms with both silicon and power procurement. Whether rivals respond with comparable in-house inference silicon, or whether Microsoft later opens Maia to customers, is the open question.
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