NVIDIA Open Sources Full Run:ai Platform

Oct 20, 2026
NVIDIA has released the full Run:ai platform as open source software, including four modular tools for scheduling workloads and managing GPU resources on Kubernetes.

Following its acquisition of Run:ai in 2024, NVIDIA released the full Run:ai platform as open source software, as detailed in a company blog post. The software provides workload scheduling and GPU resource management for AI systems running on Kubernetes.

The release includes four components that can be used separately. KAI Scheduler handles GPU aware scheduling, GPU Fractioning Operator divides GPU memory among workloads, KAI Resource Management controls quotas and capacity across teams, and Workload Map provides a common structure for managing different Kubernetes workload types.

The source code is available through the NVIDIA DSX AI Factory organization on GitHub. An integrated version is also available through NVIDIA NGC as a Community Product with a Helm chart. It does not require a paid Run:ai subscription, but it does not include NVIDIA enterprise support.

Crusoe, Mirantis, Nebius, OpenNebula Systems, Rafay, Saturn Cloud, Spectro Cloud, and vCluster are integrating the open source platform into their services. NVIDIA will continue offering commercial versions through Mission Control, NVIDIA AI Enterprise, and selected cloud marketplaces.

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