NVIDIA just open-sourced the full Run:ai GPU orchestration platform — the software behind its $700M 2024 acquisition — under Apache 2.0 on GitHub. Eight partners, including Crusoe, Mirantis,…
AspireAI community · developer.nvidia.com
NVIDIA just open-sourced the full Run:ai GPU orchestration platform — the software behind its $700M 2024 acquisition — under Apache 2.0 on GitHub. Eight partners, including Crusoe, Mirantis, Nebius and Saturn Cloud, are already integrating.
Run:ai is the Kubernetes scheduler that decides which AI training or inference job gets which GPU on a shared cluster. The release puts the integrated platform plus four standalone components — KAI Scheduler, GPU Fractioning Operator, KAI Resource Management, Workload Map — on GitHub and as a Helm-charted Community Product on NVIDIA NGC. KAI Scheduler was donated to the CNCF as a Sandbox project.
For anyone running AI on Kubernetes, this is the OS scheduler for the GPU farm. Caveat: enterprise support stays commercial. The free download is source code; if you want NVIDIA's SLA you still pay for AI Enterprise or Mission Control.
It also boxes out smaller schedulers like Volcano and YuniKorn by making the default path free.
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