docker run --rm -p 8080:8080 \
  -e STORAGE_URI=/models \
  -v $(pwd)/model:/models \
  docker.io/kserve/lgbserver:latest

# KServe InferenceService 片段（kubectl apply）：
# apiVersion: serving.kserve.io/v1beta1
# kind: InferenceService
# metadata:
#   name: lgb-model
# spec:
#   predictor:
#     lightgbm:
#       storageUri: s3://models/lgb/v1
#       runtimeVersion: latest
kubectl get inferenceservice lgb-model -n kserve

apiVersion: serving.kserve.io/v1beta1
kind: InferenceService
metadata:
  name: lgb-classifier
  namespace: kserve
spec:
  predictor:
    containers:
      - name: kserve-container
        image: docker.io/kserve/lgbserver:0.13.0
        env:
          - name: STORAGE_URI
            value: s3://ml-models/lgb/production
        resources:
          requests:
            cpu: "500m"
            memory: 512Mi