k8s-launch-kit-pipeline

por nvidia

Use esta habilidade quando o usuário quiser executar o pipeline completo do k8s-launch-kit (l8k) do início ao fim: descobrir hardware do cluster, selecionar um perfil, gerar manifestos,…

npx skills add https://github.com/nvidia/k8s-launch-kit --skill k8s-launch-kit-pipeline

l8k: Full Pipeline

PREREQUISITE: Read ../k8s-launch-kit-shared/SKILL.md for install paths, global flags, and output modes.

Run discovery + generation + deployment as a single command.

The pipeline operates on the default host target. Omitting --target keeps the established behavior; --target host is equivalent. Do not select dpf until l8k schema reports all required DPF phases as available. The root command snapshots its arguments and runs the complete concrete Host pipeline as one bound target operation.

The Host pipeline validates the post-annotation artifacts before replacing generated output, then deploys that same retained snapshot. If artifact validation fails, it reports the source file/document and does not enter Helm or resource apply. A standalone deploy loads its own snapshot from disk.

Usage

The root command chains all phases in one invocation:

l8k --discover-cluster-config [--kubeconfig <PATH>] \
  --fabric <FABRIC> --deployment-type <TYPE> \
  --save-deployment-files <DIR> --deploy

Or use subcommands for a two-step approach:

l8k discover --save-cluster-config ./cluster-config.yaml && \
l8k generate --user-config ./cluster-config.yaml \
  --save-deployment-files <DIR> --deploy

The subcommand flow does not need to repeat profile flags: discovery resolves and persists them. Pass profile flags to either command only as explicit overrides.

Examples

# Full pipeline: discover + SR-IOV Ethernet + deploy (root command)
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy

# Full pipeline: Spectrum-X
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --spectrum-x RA2.2 --multiplane-mode hwplb --number-of-planes 4 \
  --save-deployment-files ./output --deploy

# Non-default operator namespace (applies to generate/deploy only — discover
# always uses its own nvidia-k8s-launch-kit namespace)
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --network-operator-namespace network-operator \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy

# Agent / CI mode
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy \
  --output json --yes

# Pipeline with deployment dry-run (discovery still creates cluster resources)
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy --dry-run

# Subcommand alternative: discover then generate+deploy separately
l8k discover --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-cluster-config ./cluster-config.yaml && \
l8k generate --user-config ./cluster-config.yaml \
  --save-deployment-files ./output --deploy

# Skip discovery entirely with --for (known SKU)
l8k generate --user-config ./cluster-config.yaml \
  --for ThinkSystem-SR680a-V3 \
  --node-selector "nvidia.com/gpu.product=NVIDIA-H200" \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy \
  --kubeconfig ~/.kube/config

Common Variations

Use CaseCommand
Discovery onlyl8k discover --save-cluster-config <PATH>
Generate onlyl8k generate --user-config <CONFIG> --save-deployment-files <DIR>
Generate + deployl8k generate ... --deploy
Full pipeline (root)l8k --discover-cluster-config ... --deploy
Full pipeline (subcommands)l8k discover ... && l8k generate ... --deploy
Full pipeline dry-runl8k --discover-cluster-config ... --deploy --dry-run
External Helm ownershipl8k ... --skip-network-operator-helm --deploy

Note: The root command's strength is chaining all phases — it runs discover, generate, and deploy in a single invocation. Use subcommands when you need intermediate inspection or different flags per phase.

With --skip-network-operator-helm, generation omits values.yaml and deploy skips the Network Operator Helm install/preflight boundary while continuing to apply and reconcile the generated custom resources.

Phase Order

  1. Discover — Probe hardware and persist its inventory; fresh discovery also resolves profile settings, while --user-config preserves non-clusterConfig sections
  2. Generate — Match profile, render templates, write YAMLs
  3. Deploy — Apply resources in dependency order

If any phase fails, subsequent phases are skipped. The JSON output includes which phase failed.

[!CAUTION] The full pipeline includes deployment. Verify the context and stay within the user's existing live-operation authorization. --dry-run previews deployment; discovery still creates temporary cluster resources, so the pipeline is not read-only.

See Also

OpenShift

The root Host pipeline accepts --flavor ocp and requires externally installed certified operators. Set explicit clusterConfig[].workerNodes for bounded discovery and inspect generated selectors before live deploy.

Mais skills de nvidia

fhir-basics
nvidia
Ensina aos agentes como funcionam as APIs FHIR R4, quais recursos estão disponíveis, como consultá-los com parâmetros de busca e como analisar corretamente todos os formatos de resposta…
compileiq-validate-result
nvidia
Use APÓS a conclusão de uma Pesquisa e ANTES de reivindicar qualquer aceleração ou enviar um ACF. Carrega o CSV dump_results, extrai os K melhores candidatos (objetivo único)…
changelog-audit
nvidia
Auditar o CHANGELOG.md do Warp antes de um lançamento: recuperar entradas perdidas, ordenar por impacto ao usuário, refinar a linguagem das entradas, ajustar quebras de linha e (no modo de branch de lançamento) incrementar comparação…
dgx-diagnose
nvidia
Diagnostique problemas comuns do DGX Station GB300 — falhas de CUDA, direcionamento incorreto de GPU, bugs de contêiner vLLM/SGLang, problemas de estado MIG, erros de NVLink/Fabric Manager,…
aicr-managing-openvex
nvidia
Use when adding, updating, or removing CVE/GHSA suppressions in `.openvex.json` — the OpenVEX document consumed by the daily image vulnerability scan workflow.…
aicr-creating-slide-decks
nvidia
Use ao criar um deck de slides HTML autocontido ou um ponto visual de discussão para um conceito técnico ou fluxo de trabalho (ex.: demos/*.html) — exibido em tela cheia ou…
aicr-creating-guided-demos
nvidia
Estrutura um script de demonstração guiada interativa (demos/*.sh), ao vivo ou no ritmo do usuário, com o padrão Frame → Tell → Show → Close. Aciona em "demo script", "guided…
aicr-analyzing-snapshots
nvidia
Use ao analisar um arquivo YAML de snapshot AICR, revisando o estado do cluster, comparando características de provedores, extraindo insights de topologia de GPU/rede, ou…