DigestAI news desk
Developing story · 2 episodes · 14 Sept to 17 Sept

Open-Source AI Infrastructure Race Accelerates

The saga follows major tech firms releasing open-source tools to streamline AI model training, simulation, and deployment across hardware. With NVIDIA’s OSMO and Microsoft’s TauGrid now available, the ecosystem is rapidly converging on unified, Kubernetes-native solutions for physical AI workloads.

  1. Microsoft open-sources TauGrid, a Kubernetes‑native stack for GPU AI workloads

    Microsoft’s Azure Kubernetes Service engineering team has released TauGrid as an open‑source, MIT‑licensed project. The stack bundles the tau CLI, Kueue queueing, KubeRay orchestration, GPU health…

    1 source
  2. NVIDIA open-sources OSMO to unify physical AI training, simulation, and testing

    NVIDIA has released OSMO, an open-source, Kubernetes-native workflow orchestrator designed to streamline the development of physical AI. The tool addresses the fragmentation in robotics development…

    1 source
Who and what
NVIDIAAzureAWSNebiusMicrosoftMicrosoft Container RegistryGR00TIsaac SimIsaac LabIsaac ROSAsif Razzaq