微软 Maia 芯片若在推理成本上优于英伟达，做大规模 AI 推理的团队将多一个省钱选择，Anthropic 的动向值得关注。
据 The Information 报道，Anthropic 正在与微软进行早期谈判，计划租赁并使用微软自研的 Maia 200 AI 芯片用于推理任务。微软宣称 Maia 200 在某些推理场景下比英伟达芯片更具成本效益。该芯片是微软第二代 AI 加速器，采用台积电 3nm 工艺，配备 216GB HBM3e 显存和 7TB/s 带宽，专为快速处理大模型推理而设计。Anthropic 已承诺向 Azure 投入 300 亿美元，微软可能向 Anthropic 投资 50 亿美元，且 Claude 已深度集成到微软 Copilot 中，因此芯片合作是双方客户-供应商反馈循环的一部分。分析认为，Maia 无需在所有领域击败英伟达，只要在特定高容量推理任务中更便宜，就能将数十亿 token 从 GPU 转移过来。
The Information: Anthropic is currently in early-s…
The Information: Anthropic is currently in early-stage talks to lease and deploy Microsoft's custom AI chips for inference workloads.
Microsoft is pitching Maia 200 as a cheaper way to run some AI inference, and claims maia 200 is more cost-effective than nvidia chips for certain inference jobs.
Maia 200 is Microsoft’s second-generation AI accelerator, built on TSMC 3nm, with FP8/FP4 math, 216GB HBM3e, 7TB/s bandwidth, and 272MB SRAM, which makes it aimed at feeding large models fast rather than teaching them from scratch.
Anthropic already committed $30B to Azure, Microsoft may invest up to $5B in Anthropic, and Claude is already tied into Microsoft’s Copilot stack, so the chip talks are also a customer-supplier feedback loop.
IMO, Maia does not need to beat Nvidia everywhere to matter, because a cheaper chip for narrow, high-volume inference jobs can still shift billions of tokens away from GPUs.
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theinformation .com/articles/anthropic-talks-use-microsofts-ai-chips