微软宣布将 Azure Maia 芯片扩展至多吉瓦级部署，从 2027 年起作为自家产品和服务的推理系统。
作者转述了微软自研芯片的部署节奏和能效数字，并指出这可能减少其自有AI服务对Nvidia GPU的依赖。
Now its getting interesting! Microsoft is taking on Nvidia in AI inference with a multi-gigawatt expansion of its own chips.
Starting in 2027, Microsoft plans to make Azure Maia the primary inference system for its own products and services.
Maia 200 already serves production workloads including Microsoft Copilot, running OpenAI models, Microsoft's own MAI models and open-source models.
Maia 300 begins production deployments in 2027. Microsoft expects it to deliver 40% more tokens per megawatt than leading GPU-based systems.
Microsoft does not name Nvidia in the announcement, but the planned rollout could reduce its reliance on Nvidia GPUs for running its own AI services massively.
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.在 X 查看被引用的帖子
来源：Chubby♨️ · x.com