NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing
Robot developers do not have one compute problem. They have 3. A policy is trained on GB200 or H100 clusters, tested in Isaac Sim on RTX GPUs, then validated on a Jetson mounted inside a real robot. Each tier has its own cluster, its own scheduler, and its own glue scripts. NVIDIA OSMO is NVIDIA’s answer to that fragmentation: an open-source, Kubernetes-native workflow orchestrator that lets a team describe the whole pipeline in a single YAML file and run it across every tier without touc
OSMO is an open-source workflow orchestrator that allows robot developers to describe their entire pipeline in a single YAML configuration file and run it across multiple computing environments without rewriting infrastructure code. Robot development requires three separate computing tiers: data-center GPUs for training policies, workstation-class RTX hardware for simulation and physics rendering, and edge devices like Jetson for deployment and hardware testing, each traditionally requiring its own tools and custom scripts. OSMO treats these three tiers as backends of one control plane, routing tasks to appropriate hardware pools based on platform requirements rather than requiring developers to specify individual clusters. The tool includes features such as interactive remote development, Kubernetes-native scheduling, dataset management, security controls with RBAC and OAuth2, and integration with AI coding agents.
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