Topic · Concept
AI chips
AI chips are the processors that train and run AI models: GPUs from Nvidia, AMD and Intel, custom accelerators such as Google's TPUs, and NPUs in PCs. This page tracks the chips themselves, their memory and software, who designs and manufactures them, and the supply limits that decide how many get built.
- NPU requirement for Copilot+ PCs
- Many Windows AI features require an NPU that can run at 40+ TOPS
- Nvidia Vera Rubin NVL72 in production
- Available on CoreWeave's cloud, announced September 30, 2026; CoreWeave says Cognition is the first customer running production workloads on it
- Microsoft Maia 300
- Detailed October 12, 2026: 288 GB of HBM4 in eight stacks, 18 TB/s of memory bandwidth, compute dies on TSMC N2P; built for LLM inference
- AWS TorchNeuron
- Native PyTorch backend for Trainium2 and Trainium3, open source under Apache 2.0; public beta from October 20, 2026
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