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nebius / soperator

Run Slurm in Kubernetes

Why this job: works in the areas we cover, but does not say which job it does

Soperator overview

What it does

  • Kubernetes operator. Define controllers, login nodes, workers, accounting, and storage in a single SlurmCluster resource. The operator keeps the cluster aligned with that spec.
  • Portable deployment. It can run on AWS, GCP, Azure, Nebius, OCI, bare metal, and air-gapped environments, as long as the Kubernetes cluster meets the requirements.
  • Jail (shared root filesystem). Login and worker nodes share one root filesystem, so package and configuration changes appear across the cluster without per-node drift.
  • Preinstalled training stack. Images include NVIDIA drivers, CUDA, NCCL, nccl-tests, and common training dependencies, with an explicit CUDA-to-NCCL version mapping.
  • Declarative maintenance. Upgrades, resizing, NodeSet changes, and configuration updates are driven by SlurmCluster changes instead of manual node work.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit today
Stars
456
+1 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
4.1.18
Released 7 days ago
Built with
Go
86% of the code

Is it looked after?

Contributors
8
Last 90 days
Issues
96% closed
17 still open
Pull requests
2,416 merged
22 waiting
Releases
87
30+ in the last year

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More: languages, topics and project record

Languages

  • Go 86%
  • Python 6%
  • Shell 3%
  • C 2%

Topics

  • hpc
  • kubernetes
  • ml
  • model-training
  • slurm
  • high-performance-computing
  • k8s
  • k8s-operator
  • machine-learning

Project record

  • JobOther AI tools
  • StatusListed
  • Commits5,588
  • Forks67
  • Watching9
  • Stars in 28 days+13
  • CreatedJun 4, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 12, 2026

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