Nvidia open-sources full Run:ai platform under Apache 2.0 as part of DSX AI Factory
Nvidia released the complete Run:ai platform as open source under the Apache 2.0 license on Oct. 13, 2026, folding it into the Nvidia DSX AI Factory Platform so organizations can deploy GPU scheduling, resource management and AI workload orchestration on Kubernetes without buying a Run subscription. The release includes the full self-hosted control plane plus four independently adoptable modules — KAI Scheduler, GPU Fractioning Operator, KAI Resource Management and Workload Map — with eight DSX ecosystem partners including Crusoe, Mirantis, Nebius, OpenNebula Systems, Rafay, Saturn Cloud, Spectro Cloud and vCluster integrating the platform into their offerings. Enterprise support, service-level commitments and entitlements remain paid options, and free-version users must handle their own infrastructure, upgrades, security monitoring and incident response.
Open-sourcing the GPU scheduling and orchestration layer may lower the software barrier to adopting Nvidia's AI infrastructure, shifting competition toward support services and hardware.
Nvidia's open-source Run:ai platform lets IT teams manage GPU scheduling and AI workloads on Kubernetes without a software subscription, while enterprise support remains a paid option. Image generated by ChatGPT.
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Nvidia made its full Run platform open source on Oct. 13, 2026, giving organizations free access to GPU scheduling, resource management, and AI workload orchestration for Kubernetes. Teams can deploy the software in production without buying a Run subscription.
The release includes the self-hosted control plane, not just individual scheduling components. Enterprise support remains a paid option, while organizations using the free version must manage their own infrastructure, upgrades, and operational issues.
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