Official Provider SkillView repo
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.
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SKILL.md73 lines
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categorydevops
Skill IDNVIDIA/deepops/skills/deploy-k8s-gpu-cluster
Related skills
Deploy AirgappedPrepare mirrors and transfer artifacts, configure DeepOps, deploy Slurm or Kubernetes GPU clusters without Internet access, and validate them with machine-readable gates. Use for disconnected, restricted-egress, offline, or air-gapped DeepOps installations and for diagnosing missing package, file, chart, or container artifacts.Deploy Slurm ClusterDeploy 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.Diagnose Driver InstallDiagnose 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.Provision With MaasProvision or reinstall bare-metal servers and test VMs through Canonical MAAS, map deployed machines into DeepOps Ansible inventory with MAAS tags, validate access, or release them safely. Use when operating DeepOps with a MAAS-owned machine lifecycle.Validate Gpu ClusterCheck whether a DeepOps-deployed Slurm or Kubernetes GPU cluster is healthy and report a machine-readable verdict. Use for health checks, post-deploy verification, "is the cluster working?" questions, and after any node or driver change.Nemoclaw Maintainer Cut Release TagPrepare and cut one signed NemoClaw semver release tag, then follow release workflows and draft the Announcement.