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Milk Road AI
@MilkRoadAI
Helping millions of investors navigate the AI markets. Capitalize on the biggest technological change in history across the infrastructure & app layers of AI.
加入 October 2025
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This is the reason Microsoft is cutting its Claude token usage. Microsoft just announced it will scale its own AI chip, Maia, to multigigawatt deployments starting in 2027. Maia will become the main system running AI inside Microsoft's products and services. Maia 200 is already live in the United States, Europe and Australia, running Microsoft Copilot today. Microsoft says Maia 200 delivers up to 1.7x more tokens per watt than leading GPU systems in Teams and Copilot. The next chip, Maia 300, is built on $TSM's 2 nanometer process with eight HBM4 memory stacks. Microsoft says it will deliver 40% more tokens per megawatt than leading GPU systems. A full Maia 300 rack holds 96 chips and pushes up to 7x the token output of Maia 200. The Information reported that Microsoft cut its projected internal Claude spend by more than a third, down from over $1 billion a year. Its Cloud and AI group also cut per employee AI budgets from $100,000 a month to about $10,000. Microsoft is now building the chips and the models itself. Every token moved off Claude and onto Maia is money that stays with Microsoft. I think this is a long term margin story for $MSFT that most people are missing.
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Today we are announcing our biggest bet yet on our own silicon. Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services. And we’re introducing Maia 300, which delivers 40% more tokens per watt compared to leading GPU-based systems. We are already deploying Maia 200 across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across experiences in Teams and Copilot. Our goal is to build on the full-stack efficiency gains we’ve already seen, while continuing to bring the latest innovations from across the ecosystem into our fleet.
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