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Microsoft's new Maia 300 chip represents a strategic shift toward proprietary AI inference hardware, aiming to reduce reliance on Nvidia GPUs while improving energy efficiency for cloud workloads. By targeting deployment in 2027 with a focus on agentic tasks and long-context reasoning, this development highlights the industry trend of hyperscalers building custom silicon to optimize costs and performance for specific model architectures.

Sursă care acoperăThe Verge

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

The Verge12 octombrie 20263 min de cititArticolul și perspectiva sunt în engleză.

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 mind. "We expect Maia 300 to deliver 40 percent more tokens per megawatt compared to leading GPU-based systems," says Scott Guthrie, executive vice president of Microsoft's cloud group. "And in a full 96-acceler … Read the full story at The Verge.

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…

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