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Microsoft to Scale Custom Maia AI Chips in 2027 to Cut Costs and Boost Cloud Power

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MSFT$539.33 0.80%

Microsoft Corporation (MSFT) announced plans to scale its custom Azure Maia artificial intelligence chips to multi-gigawatt deployments starting in 2027. The tech giant intends to make Maia the primary processing system behind its internal products and cloud infrastructure as demand for AI computing continues to climb.

Building in-house silicon allows the company to reduce data center operating expenses and limit its dependence on third-party hardware manufacturers. The upcoming Maia 300 processor is expected to generate 40% more AI output per megawatt compared to leading graphics processing unit systems. While Microsoft confirmed it will continue to buy infrastructure from external suppliers like Nvidia Corporation (NVDA) and Advanced Micro Devices (AMD), shares of both chipmakers traded lower following the news.

Investors will be watching how rapidly Microsoft expands its proprietary chips across global data centers. The current Maia 200 hardware already powers Microsoft Copilot, with rollouts for GitHub Copilot and Microsoft Foundry scheduled by the end of the year.

Key points

  • Microsoft plans to expand its custom Maia AI processors to multi-gigawatt deployments starting in 2027.
  • The next-generation Maia 300 system is designed to produce 40% more AI output per megawatt than leading GPU systems.
  • Microsoft's current Maia 200 chip powers Microsoft Copilot and will expand to GitHub Copilot and Microsoft Foundry by year-end.
  • The company reaffirmed that it will keep using hardware from external suppliers like Nvidia and Advanced Micro Devices.

Written by our AI from expert market sources across the web. It can contain mistakes: check the facts before acting on them. Write-ups powered by the free AI API at FreeTheAI.org

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Questions and answers

When will Microsoft deploy its Maia AI chips at scale?

Microsoft plans to scale its custom Maia AI chips to multi-gigawatt deployments starting in 2027, making them the primary system for running AI models across its cloud services.

Will Microsoft stop using chips from Nvidia and AMD?

No, Microsoft confirmed it will continue using external hardware alongside its custom silicon, including next-generation systems from both Nvidia and Advanced Micro Devices.

What performance improvements does the Maia 300 chip offer?

The Maia 300 system is expected to deliver 40% more AI-generated tokens per megawatt than leading GPU-based systems, processing significantly more requests with the same power output.