kind-cluster

Imported from wisrovi/imagenesDocker (03 ArtificalInteligence/01 agents/01 CLI/02 templates/.agents/skills/kind-cluster/SKILL.md). Install upstream with npx skills add wisrovi/imagenesDocker --skill kind-cluster. Copyright stays with the author.

name: kind-cluster version: 1.0.0 description: "Crea cluster Kind con 1 control-plane y 5 workers (3 GPU, 2 CPU). Valida GPUs con pods nvidia-smi. USA cuando el usuario mencione 'crear cluster kind', 'kind cluster', 'kubernetes gpu', 'test gpu', 'nvidia-smi', o 'kind'." compatibility: opencode metadata: language: en author: wisrovi status: stable tags: [kubernetes, kind, gpu, docker, nvidia] requires: [kind, kubectl, docker, nvidia-docker] inputs:

• type: cluster_name description: Nombre del cluster (default: gpu-cluster) outputs:
• type: kubeconfig description: Cluster creado y funcional
• type: validation_results description: worker_results.md con resultados de GPU anti_trigger:
• "Ya tengo el cluster" triggers:
• "crear cluster kind"
• "kind cluster"
• "kubernetes gpu"
• "nvidia-smi"
• "test gpu"

Kind Cluster - GPU-Enabled Kubernetes Cluster

Objetivo

Crear cluster Kind con:

• 1 control-plane
• 5 workers (3 GPU, 2 CPU)

CONFIGURACIÓN

kind-config.yaml

kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
name: gpu-cluster
nodes:
- role: control-plane
- role: worker
  labels:
    worker: worker1
    resource: GPU
- role: worker
  labels:
    worker: worker2
    resource: GPU
- role: worker
  labels:
    worker: worker3
    resource: GPU
- role: worker
  labels:
    worker: worker4
    resource: CPU
- role: worker
  labels:
    worker: worker5
    resource: CPU

VALIDACIÓN DE GPU

NO USAR: docker exec

USAR: Pod con nvidia-smi

apiVersion: v1
kind: Pod
metadata:
  name: gpu-test-worker1
spec:
  restartPolicy: Never
  nodeSelector:
    worker: worker1
  containers:
  - name: nvidia-smi
    image: nvidia/cuda:12.2.0-base-ubuntu22.04
    command: ["nvidia-smi"]

COMANDOS

# Crear cluster
kind create cluster --config=kind-config.yaml

# Verificar nodos
kubectl get nodes --show-labels

# Validar GPU en cada worker
kubectl apply -f test-worker1.yaml
kubectl logs gpu-test-worker1

worker_results.md