deepseek-ai/deepseek-r1

helm repo add nvidia https://helm.ngc.nvidia.com/nvidia \
   && helm repo update

helm install nim-operator nvidia/k8s-nim-operator --create-namespace -n nim-operator

kubectl create secret -n nim-service docker-registry ngc-secret \
    --docker-server=nvcr.io \
    --docker-username='$oauthtoken' \
    --docker-password=<PASTE_API_KEY_HERE>

kubectl create secret -n nim-service generic ngc-api-secret \
    --from-literal=NGC_API_KEY=<PASTE_API_KEY_HERE>

apiVersion: apps.nvidia.com/v1alpha1
kind: NIMCache
metadata:
  name: deepseek-ai-deepseek-r1
spec:
  source:
    ngc:
      modelPuller: nvcr.io/nim/deepseek-ai/deepseek-r1:latest
      pullSecret: ngc-secret
      authSecret: ngc-api-secret
      model:
        engine: tensorrt_llm
        tensorParallelism: "1"
  storage:
    pvc:
      create: true
      storageClass: <storage-class-name>
      size: "50Gi"
      volumeAccessMode: ReadWriteMany
  resources: {}

apiVersion: apps.nvidia.com/v1alpha1
kind: NIMService
metadata:
  name: deepseek-ai-deepseek-r1
spec:
  image:
    repository: nvcr.io/nim/deepseek-ai/deepseek-r1
    tag: 1.8.3
    pullPolicy: IfNotPresent
    pullSecrets:
      - ngc-secret
  authSecret: ngc-api-secret
  storage:
    nimCache:
      name: deepseek-ai-deepseek-r1
      profile: ''
  replicas: 1
  resources:
    limits:
      nvidia.com/gpu: 1
  expose:
    service:
      type: ClusterIP
      port: 8000

kubectl run --rm -it -n default curl --image=curlimages/curl:latest -- ash

curl -X "POST" \
 'http://deepseek-ai-deepseek-r1.nim-service:8000/v1/chat/completions' \
  -H 'Accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
        "model": "deepseek-ai/deepseek-r1",
        "messages": [
        {
          "content":"What should I do for a 4 day vacation at Cape Hatteras National Seashore?",
          "role": "user"
        }],
        "top_p": 1,
        "n": 1,
        "max_tokens": 1024,
        "stream": false,
        "frequency_penalty": 0.0,
        "stop": ["STOP"]
      }'