# Microsoft announces Maia 300 and projects 40% more tokens per megawatt

- Published: 2026-10-12T13:00:00.000Z
- Updated: 2026-10-13T10:01:44.688Z
- Section: Market
- Topics: Hardware
- Page: https://aidailyjournal.com/en/n/2026/10/12/microsoft-says-maia-300-chip-will-deliver-40-more-tokens-per-megawatt/
- Sources: [The Verge](https://theverge.com/news/1009465/microsoft-maia-300-chip-improvements-rollout), [Xataka](https://xataka.com/robotica-e-ia/nvidia-tiene-motivos-para-preocuparse-microsoft-apuesta-su-propio-chip-maia-300-para-su-infraestructura-ia), [Microsoft](https://blogs.microsoft.com/blog/2026/10/12/microsoft-to-expand-azure-maia-system-to-multi-gigawatt-deployments)

## Summary

Microsoft announced Maia 300, the third generation of its in-house AI chip, with production expected to begin in 2027. The company plans to scale the Maia family to multi-gigawatt deployments and make it the primary inference system for its products and services, which should reduce its reliance on Nvidia and AMD GPUs, The Verge reports. Maia 300 is designed for long-context reasoning models, latency-sensitive conversations and sustained, multi-step agentic tasks.

Microsoft says Maia 300 will deliver 40% more tokens per megawatt than leading GPU-based systems and, in a 96-accelerator configuration, up to seven times Maia 200’s rack-scale token throughput. Xataka notes that the comparisons are based on the manufacturer’s data and have not been independently validated in published results. Maia 200 is already serving production workloads, including Microsoft Copilot; Microsoft says GitHub Copilot and Microsoft Foundry are next in its expansion.

## Why it matters (editorial interpretation)

Microsoft’s planned Maia expansion could change its reliance on Nvidia and AMD GPUs if the company’s reported metrics hold up. Because the comparisons have not been independently validated, the real impact on cost and scale remains uncertain.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._