DeepOps is a collection of automation tools for deploying and managing compute clusters that use NVIDIA GPUs with Kubernetes or Slurm. It supports environments ranging from full data-center clusters to individual machines needing GPU drivers, Docker, and NVIDIA container support.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/NVIDIA/deepopsnpx agentmods add skills/nvidia/deepops/deploy-slurm-clusterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia/deepops/deploy-slurm-cluster)<a href="https://agentmods.dev/skills/nvidia/deepops/deploy-slurm-cluster"><img src="https://agentmods.dev/badge/skills/nvidia/deepops/deploy-slurm-cluster/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia/deepops/deploy-slurm-cluster"><img src="https://agentmods.dev/badge/skills/nvidia/deepops/deploy-slurm-cluster.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00625 |
| Opus 5.5 | $0.00017 | $0.00250 |
| Sonnet 5.5 | $0.00008 | $0.00125 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
deploy-slurm-cluster scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy a Slurm GPU cluster
Preconditions
- Ubuntu 22.04/24.04 or RHEL/Rocky 8/9 hosts you may fully manage (driver installs may reboot them; no active users or workloads).
- SSH access from the provisioning machine to every host as a sudo-capable user.
- Run everything from the repository root.
Procedure
-
Prepare the environment and verify it:
git submodule update --init --recursive ./scripts/setup.sh cp -r config.example config -
Edit
config/inventory: put the controller under[slurm-master]and compute nodes under[slurm-node](a single machine can be both). Set the connection user in[all:vars]if not root. -
Preflight — must pass before deploying:
python3 scripts/validation/deepops_doctor.py --remote --jsonFix anything in
failures(each check'sdetailsays how) and rerun. -
Deploy:
ansible-playbook -l slurm-cluster playbooks/slurm-cluster.ymlThis installs NVIDIA drivers, builds and configures Slurm, and sets up munge, NFS, and node health checks. Expect roughly 30–60 minutes on a first run.
-
Validate on a cluster node — the success signal is this, not the play recap:
python3 scripts/validation/validate_slurm.py --jsonRequire
"ok": truewithgpu_job_ok: trueandnodes_unavailable: 0.
Failure branches
- Playbook fails on a transient error (mirror timeout, apt lock,
network blip): rerun the same playbook; it is idempotent. A converged
rerun ends with
changed=0. nvidia-smiworks in the validator's srun job but "fails" over SSH: that is the login GPU-hide behavior, not an error (see AGENTS.md gotchas).gpu_job_ok: falsewith driver errors: followskills/diagnose-driver-install/.- Node shows
downordrainedinnode_states: checkscontrol show node <name>for the reason; after fixing, resume withscontrol update nodename=<name> state=resume. - Wrong or stale host facts after reprovisioning a node: rerun with
--flush-cache.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 73 lines · 42 tokens per session scan A 254f68140b5f
deploy-slurm-cluster is a skill published in the GitHub repository NVIDIA/deepops (1,479 stars, last pushed today), licensed BSD-3-Clause. It adds 42 tokens to every session and 625 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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