ChipsThe story, in brief

Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs

Microsoft's Maia 300 hits production in 2027—40% more efficient than GPU-based systems, reshaping cloud AI economics and Nvidia's enterprise grip.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Microsoft's third-generation custom inference chip signals a structural shift in cloud AI cost models and supplier diversification. Maia 300 targets reasoning workloads and agentic tasks at scale, directly competing with Nvidia's inference dominance as enterprise deployment accelerates in 2027.

The key facts

6 to know
  1. Maia 300 production rollout begins 2027

  2. 40% more tokens per megawatt vs. leading GPU-based systems

  3. Designed as 'primary AI inference system' for Microsoft products and services

  4. Targets reasoning models and agentic task handling

  5. Third-generation Maia chip in Microsoft's custom silicon roadmap

  6. Scott Guthrie (EVP Cloud Group) announcement

The story so far

Earlier coverage of this storyline

  1. Microsoft to sell $2,599 Surface Laptop Ultra containing Nvidia AI chipCNBC Technology
  2. Microsoft releases new Nvidia-chip AI PCs with revamped Windows 11TechCrunch AI
  3. This story

Go to the source

The Verge AItheverge.com

Publisher excerpt: Microsoft’s Maia 300 chip. | Image: Microsoft Microsoft is announcing its third-generation Maia in-house AI chip today, designed to be the "primary AI inference system" for Microsoft's products and services. Maia 300 not only improves the cost and efficiency of running AI workloads in the cloud,…
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