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Use for health checks, post-deploy verification, \"is the cluster working?\" questions, and after any node or driver change.\n---\n\n# Validate a GPU cluster\n\n## Which validator\n\n- Slurm cluster → `scripts\u002Fvalidation\u002Fvalidate_slurm.py` (run on a cluster\n  node)\n- Kubernetes cluster → `scripts\u002Fvalidation\u002Fvalidate_k8s.py` (run wherever\n  `kubectl` reaches the cluster)\n- Not deployed yet \u002F checking the provisioning environment →\n  `scripts\u002Fvalidation\u002Fdeepops_doctor.py` (run from the repository root)\n\nAll tools support `--json` and exit `0` only when every check passes. Full\ncontract: `docs\u002Fdeepops\u002Fvalidation.md`.\n\n## Procedure\n\n1. Run the matching validator with `--json`.\n\n   ```bash\n   python3 scripts\u002Fvalidation\u002Fvalidate_slurm.py --json\n   python3 scripts\u002Fvalidation\u002Fvalidate_k8s.py --json --cuda-smoke\n   ```\n\n   Use `--skip-gpu-job` (Slurm) or omit `--cuda-smoke` (Kubernetes) when a\n   strictly read-only check is required — for example on a busy production\n   cluster where a test job would queue behind real work.\n\n2. Read the verdict from the JSON, not from ad-hoc commands:\n   - `ok: true` — report healthy, include the key counts\n     (`nodes_total`, `gpus_configured`\u002F`gpus_allocatable`).\n   - `ok: false` — report each entry in `failures` verbatim; they name the\n     failing subsystem and the next diagnostic step.\n\n3. When a GPU check fails, do not conclude \"driver broken\" from a bare\n   `nvidia-smi` over SSH — on Slurm nodes GPUs are hidden outside jobs.\n   Follow `skills\u002Fdiagnose-driver-install\u002F` instead.\n\n## Interpreting common results\n\n| Signal | Meaning |\n|--------|---------|\n| Slurm `nodes_unavailable > 0` | Node down\u002Fdrained — `scontrol show node \u003Cname>` for the reason. |\n| Slurm `gpus_configured: 0` | GRES not configured — check `config\u002Fgroup_vars\u002Fslurm-cluster.yml` GPU settings and rerun the Slurm playbook. |\n| K8s `gpus_allocatable: 0` | GPU Operator stack not ready — `kubectl get pods -A \\| grep -i nvidia`; first-deploy driver builds can take 10+ minutes. |\n| K8s smoke pod `Pending` | No schedulable GPU or image pull failure — `kubectl -n deepops-validate describe pod`. |\n| Direct `nvidia-smi` over SSH says \"No devices were found\" on a Slurm node | Expected GPU-hide behavior, not a failure. |\n",{"data":35,"body":36},{"name":4,"description":6},{"type":37,"children":38},"root",[39,48,55,108,138,144,321,327,481],{"type":40,"tag":41,"props":42,"children":44},"element","h1",{"id":43},"validate-a-gpu-cluster",[45],{"type":46,"value":47},"text","Validate a GPU cluster",{"type":40,"tag":49,"props":50,"children":52},"h2",{"id":51},"which-validator",[53],{"type":46,"value":54},"Which validator",{"type":40,"tag":56,"props":57,"children":58},"ul",{},[59,74,95],{"type":40,"tag":60,"props":61,"children":62},"li",{},[63,65,72],{"type":46,"value":64},"Slurm cluster → ",{"type":40,"tag":66,"props":67,"children":69},"code",{"className":68},[],[70],{"type":46,"value":71},"scripts\u002Fvalidation\u002Fvalidate_slurm.py",{"type":46,"value":73}," (run on a cluster\nnode)",{"type":40,"tag":60,"props":75,"children":76},{},[77,79,85,87,93],{"type":46,"value":78},"Kubernetes cluster → ",{"type":40,"tag":66,"props":80,"children":82},{"className":81},[],[83],{"type":46,"value":84},"scripts\u002Fvalidation\u002Fvalidate_k8s.py",{"type":46,"value":86}," (run wherever\n",{"type":40,"tag":66,"props":88,"children":90},{"className":89},[],[91],{"type":46,"value":92},"kubectl",{"type":46,"value":94}," reaches the cluster)",{"type":40,"tag":60,"props":96,"children":97},{},[98,100,106],{"type":46,"value":99},"Not deployed yet \u002F checking the provisioning environment →\n",{"type":40,"tag":66,"props":101,"children":103},{"className":102},[],[104],{"type":46,"value":105},"scripts\u002Fvalidation\u002Fdeepops_doctor.py",{"type":46,"value":107}," (run from the repository root)",{"type":40,"tag":109,"props":110,"children":111},"p",{},[112,114,120,122,128,130,136],{"type":46,"value":113},"All tools support ",{"type":40,"tag":66,"props":115,"children":117},{"className":116},[],[118],{"type":46,"value":119},"--json",{"type":46,"value":121}," and exit ",{"type":40,"tag":66,"props":123,"children":125},{"className":124},[],[126],{"type":46,"value":127},"0",{"type":46,"value":129}," only when every check passes. 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Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[629,630],{"name":17,"slug":18,"type":15},{"name":597,"slug":598,"type":15},"2026-07-14T05:25:54.928983",{"slug":633,"name":633,"fn":634,"description":635,"org":636,"tags":637,"stars":522,"repoUrl":523,"updatedAt":642},"nightly-sync","manage nightly main-to-dev sync workflows","Domain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[638,641],{"name":639,"slug":640,"type":15},"Automation","automation",{"name":532,"slug":533,"type":15},"2026-07-30T05:29:03.275638",496,{"items":645,"total":686},[646,659,669,679],{"slug":647,"name":647,"fn":648,"description":649,"org":650,"tags":651,"stars":23,"repoUrl":24,"updatedAt":658},"deploy-k8s-gpu-cluster","deploy Kubernetes GPU clusters","Deploy a Kubernetes GPU cluster with DeepOps (Kubespray + GPU Operator) and prove it schedules GPU pods. Use when asked to deploy or rebuild Kubernetes on GPU servers with this repository.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[652,653,654,657],{"name":517,"slug":518,"type":15},{"name":21,"slug":22,"type":15},{"name":655,"slug":656,"type":15},"Kubernetes","kubernetes",{"name":9,"slug":8,"type":15},"2026-07-17T06:05:02.11504",{"slug":660,"name":660,"fn":661,"description":662,"org":663,"tags":664,"stars":23,"repoUrl":24,"updatedAt":668},"deploy-slurm-cluster","deploy Slurm GPU clusters","Deploy a Slurm GPU cluster with DeepOps and prove it works. Use when asked to deploy, install, or rebuild Slurm on one or more GPU servers with this repository.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[665,666,667],{"name":517,"slug":518,"type":15},{"name":21,"slug":22,"type":15},{"name":9,"slug":8,"type":15},"2026-07-17T06:05:02.462676",{"slug":670,"name":670,"fn":671,"description":672,"org":673,"tags":674,"stars":23,"repoUrl":24,"updatedAt":678},"diagnose-driver-install","diagnose NVIDIA driver installation failures","Diagnose NVIDIA driver installation failures on DeepOps-managed nodes — nvidia-smi errors, \"No devices were found\", DKMS build failures, or GPU pods crash-looping. Use before reinstalling anything.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[675,676,677],{"name":555,"slug":556,"type":15},{"name":21,"slug":22,"type":15},{"name":9,"slug":8,"type":15},"2026-07-17T06:05:02.811247",{"slug":4,"name":4,"fn":5,"description":6,"org":680,"tags":681,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[682,683,684,685],{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":17,"slug":18,"type":15},4]