Azure Maia

Azure Maia

Microsoft's in-house family of AI chips and systems, built to power the AI inference workloads behind its own products and services.

Last Updated 10/14/2026

About Azure Maia

Azure Maia is Microsoft's in-house family of AI inference chips and systems. According to Microsoft's official blog, the multi-generational Azure Maia project has become a foundational part of Microsoft's AI infrastructure strategy: Maia 200 is in production, being deployed in the US, Europe, and Australia, and serves inference for the built-in AI capabilities of Microsoft Teams, Copilot, and Cowork, delivering up to 1.7 times token output per watt compared with leading GPU infrastructure, according to the official announcement. The next-generation Maia 300 is planned for 2027 and targets emerging AI workloads such as long-context inference, latency-sensitive conversational experiences, and multi-step agent tasks; Microsoft expects it to deliver 40% more tokens per megawatt than leading GPU-based systems and, in its full 96-accelerator configuration, up to 7 times the rack-level token throughput of Maia 200. Microsoft has also announced that from 2027 it will scale the Maia family to multi-gigawatt deployments, making it the primary inference system for Microsoft's products and services. Note that this is an infrastructure-level announcement: Azure Maia is not a standalone tool intended for direct use by individual users.

Best for

End users of AI capabilities in Microsoft products and services
Technology observers tracking Microsoft's AI infrastructure strategy

Best use cases

The underlying inference service for built-in AI capabilities in products such as Microsoft Teams, Copilot, and Cowork

Long-context inference, latency-sensitive conversational experiences, and multi-step agent tasks (design goals for Maia 300)

Microsoft's scaling infrastructure for multi-gigawatt AI deployments starting in 2027

Features

Powers Microsoft's built-in AI capabilities

According to the official blog, it serves inference for the built-in AI capabilities in Microsoft Teams, Copilot, and Cowork, achieving up to 1.7 times token output per watt in the comparison cited.

A full intelligence system for new AI workloads (Maia 300)

According to the official blog, Maia 300 is designed for emerging AI workloads and is expected to deliver 40% more tokens per megawatt through system-level efficiency improvements.

High rack-level throughput (Maia 300)

According to the official blog, in its full 96-accelerator configuration, Maia 300 delivers up to 7 times the rack-level token throughput of Maia 200.

Pros

  • The official blog states that Maia 200 is in production and being deployed in the US, Europe, and Australia
  • The official blog states that, compared with leading GPU infrastructure, Maia 200 achieves up to 1.7 times token output per watt for the built-in AI capabilities of Microsoft Teams, Copilot, and Cowork
  • The official blog states that Maia 300 is expected to deliver 40% more tokens per megawatt than leading GPU-based systems and, in its full 96-accelerator configuration, up to 7 times the rack-level token throughput of Maia 200

FAQ

According to the official blog, Azure Maia 200 is in production and being deployed in the US, Europe, and Australia; Azure Maia 300 is planned for launch in 2027.
The official blog states that Microsoft will scale the Azure Maia family to multi-gigawatt deployments starting in 2027 and make it the primary inference system for Microsoft's products and services.

Tool Information

DeveloperAzure Maia
Release Date10/14/2026
PricingFree