Physical AI models usually need a different inference pipeline for every stage—training, testing, deployment. That’s slow, brittle, and wasteful. Enter PhyAI, from researchers at Tsinghua, Peking, and BUPT. It’s a unified inference engine that runs the same code across cloud
PhyAI Unifies Inference Code Across Training, Testing and Deployment
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