Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod
TL;DR
Building a Physical AI system takes a continuous pipeline, not a single training job. This post shows how to run that model factory (synthetic data generation, post-training, and closed-loop evaluation with NVIDIA Cosmos 3) on a persistent, resilient Amazon SageMaker HyperPod cluster on Amazon EKS, with GPU goodput as the metric that matters.
Nauti's Take
Teams building Physical AI should start with a small closed-loop test and measure GPU goodput, recovery time, and the share of synthetic data that survives downstream validation. The AWS post offers a plausible operating architecture, yet as a single source it does not establish how Cosmos 3 will scale with a team’s own sensors, simulators, and cost constraints.
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