nebius / soperator
Run Slurm in Kubernetes
Why this job: works in the areas we cover, but does not say which job it does

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
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
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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
