ChipsSeptember 14, 2026via MarkTechPost

NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing

Why it matters

OSMO removes infrastructure friction from the physical AI buildout by letting robotics teams define cross-tier compute workflows declaratively. This is compute-stack enablement for the robot era — it matters because it accelerates how teams can move models from simulation to real hardware at scale.

Key signals

  • OSMO: Kubernetes-native workflow orchestrator, Apache-2.0 licensed
  • Routes jobs to GB200 clusters, Jetson AGX Thor, and intermediate tiers without infrastructure code
  • Used internally for Project GR00T, Isaac Lab, Isaac Sim
  • Single YAML definition for training, simulation, hardware-in-the-loop
  • Latest release: 6.3.1
  • Open-sourced from NVIDIA's internal stack

The hook

NVIDIA open-sources OSMO: one YAML file orchestrates training, sim, and hardware testing across GB200 clusters to edge Jetsons. Physical AI ops just got a lot simpler.

NVIDIA has open-sourced OSMO, the Kubernetes-native workflow orchestrator it uses internally for Project GR00T, Isaac Lab, and Isaac Sim. OSMO lets robotics teams define training, simulation, and hardware-in-the-loop tasks in a single YAML file and routes each one to the right compute tier, from GB2

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