AWS frames physical AI as a continuous model factory, not a training job

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AWS published a build for running NVIDIA Cosmos 3 on a persistent SageMaker HyperPod cluster on EKS, covering synthetic data generation, post-training and closed-loop evaluation as one recurring pipeline rather than a single training run. The framing is the useful part for anyone doing robotics or simulation work: the cluster stays resilient and long-lived because the loop never really ends. It lands the same week XDOF is reportedly raising at $1.2B on revenue from human teleoperation data.