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

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.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

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.

The key facts

6 to know
  1. OSMO: Kubernetes-native workflow orchestrator, Apache-2.0 licensed

  2. Routes jobs to GB200 clusters, Jetson AGX Thor, and intermediate tiers without infrastructure code

  3. Used internally for Project GR00T, Isaac Lab, Isaac Sim

  4. Single YAML definition for training, simulation, hardware-in-the-loop

  5. Latest release: 6.3.1

  6. Open-sourced from NVIDIA's internal stack

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: 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…
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