KAI Scheduler

license

Apache-2.0(OSI)

source

public(the scheduler you run builds from this repo)

core features withheld

no — a 2,004-entry recursive tree carries one root LICENSE and no path matching enterprise, ee, commercial or proprietary

KAI Scheduler publishes the whole scheduler under Apache-2.0. NVIDIA sells Run:ai beside it as a separate product rather than a fuller edition of this one, and a full scan of the repository tree finds no enterprise, ee or commercial path and no license-key machinery.

• https://api.github.com/repos/kai-scheduler/KAI-Scheduler/git/trees/main?recursive=1 recorded 2026-09-15

  Full untruncated recursive tree of the default branch, 2,004 entries. One root LICENSE. No path matches enterprise, ee, commercial or proprietary. A tree lists paths; it is cited for that and for nothing about the vendor's offerings.

• https://github.com/kai-scheduler/KAI-Scheduler recorded 2026-09-15

  Repository page for kai-scheduler/KAI-Scheduler: Apache-2.0 license, public and unarchived, in the kai-scheduler organization rather than NVIDIA's. Establishes the license, the source, and the current repository identity.

• https://www.nvidia.com/en-us/software/run-ai/ recorded 2026-09-16

  NVIDIA's Run:ai page, which describes the open KAI Scheduler as 'based on NVIDIA Run:ai' and sells Run:ai as a separate enterprise platform. Establishes that the commercial product is a different thing rather than a fuller edition of this scheduler.

KAI Scheduler ships as container images and a Helm chart rather than through a package registry, leaving GitHub stars as the only adoption signal. A star is not a use, so the signal shows attention rather than real usage.

• https://github.com/kai-scheduler/KAI-Scheduler recorded 2026-09-15

  Repository page for kai-scheduler/KAI-Scheduler showing 1,520 stars.

KAI Scheduler decides which nodes a PodGroup lands on and admits the whole group as one allocation, holding the machines it reserves together rather than deferring that choice elsewhere. Volcano performs the same function on the same substrate.

• https://github.com/kai-scheduler/KAI-Scheduler recorded 2026-09-15

  Repository page and README describing KAI Scheduler as a Kubernetes-native scheduler for AI workloads, with hierarchical PodGroups, bin-packing and spread scheduling, topology-aware scheduling and time-based fair-share.