Individual skill
tao-run-on-slurm
Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".
skills/tao-run-on-slurm/SKILL.md
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- Last checked
- Nov 9, 2026
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- 3,917
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- platform Declared skill tag
- slurm Declared skill tag
- engineering Derived category
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- devops-containers Derived category
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Read excerpt
# SLURM
> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).
Remote GPU compute platform for clusters managed by SLURM. Jobs are submitted
from the launch host to a login node over SSH, staged on a shared
filesystem, submitted with `sbatch`, and executed with `srun` container support.
## When to use
Use SLURM when the user has access to a managed GPU cluster, shared Lustre
storage, and scheduler-owned GPU allocation. Do not use SLURM for local files
that exist only on the agent machine; data and outputs must be reachable from
the cluster.