Microsoft Maia 300 chip reduces Nvidia reliance
The Verge: Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs
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, it's also more capable of handling the latest reasoning models and agentic tasks. Maia 300 will start being rolled out to production in 2027, and it has been designed with efficiency in
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Microsoft is announcing a new in-house AI chip called Maia 300, designed to serve as the primary AI inference system for the company's products and services. The chip is expected to deliver significant efficiency gains, providing 40 percent more tokens per megawatt compared to leading GPU-based systems and up to 7 times the rack-scale token throughput of its predecessor. This matters because it allows Microsoft to reduce its reliance on AI chips from other manufacturers like Nvidia and AMD, with plans to scale Maia deployments starting in 2027. The chip is built using a new chiplet architecture on TSMC's advanced process node and is designed to handle emerging AI workloads including long-context reasoning, conversational experiences, and multi-step agentic tasks.
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