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theverge ai · October 12, 2026

Microsoft's Maia 300 chip cuts reliance on Nvidia GPUs

microsoft unveils its third-generation maia ai chip, designed to improve efficiency and reduce reliance on nvidia gpus for ai workloads. this affects big tech's ai infrastructure plans.

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microsoft has unveiled its third-generation maia ai chip, maia 300, which is designed to be the primary ai inference system for microsoft's products and services. maia 300 will start being rolled out to production in 2027 and offers improved efficiency, with 40 percent more tokens per megawatt compared to leading gpu-based systems. in a full 96-accelerator configuration, it delivers up to 7x the rack-scale token throughput of maia 200. microsoft plans to scale its azure maia family to multi-gigawatt deployments starting in 2027, making maia the primary ai inference system for microsoft products and services. this move is part of microsoft's efforts to reduce its reliance on nvidia and amd's gpus for ai workloads and to catch up with google deepmind, openai, and anthropic in ai model development.

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