据The Information报道，微软正向AI公司Anthropic推销其第二代AI芯片Maia 200，强调该芯片在特定推理任务中比NVIDIA芯片更具成本效益。Maia 200专注于高速推理而非训练，双方已有深度合作基础：Anthropic已在Azure承诺300亿美元支出，且Claude已整合进微软Copilot。此次芯片合作旨在深化协同。分析认为，Maia 200无需全面超越NVIDIA，只要能在高量推理中提供更低成本选项，便可能将部分计算需求从GPU转移。
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.
---
theinformation .com/articles/anthropic-talks-use-microsofts-ai-chips
来源：Rohan Paul · x.com