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selector:
app: tf-serving
ports:
- name: grpc
port: 8500
targetPort: 8500
- name: rest
port: 8501
targetPort: 8501
type: ClusterIP
<|endoftext|>
# source: k8s_examples/AI/model-serving-tensorflow/pv.yaml type: yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: my-model-pv
spec:
capacity:
storage: 1Gi
accessModes:
- ReadOnlyMany
persistentVolumeReclaimPolicy: Retain
hostPath:
path: /mnt/models/my_model
<|endoftext|>
# source: k8s_examples/AI/model-serving-tensorflow/pvc.yaml type: yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: my-model-pvc
spec:
accessModes:
- ReadOnlyMany
resources:
requests:
storage: 1Gi
volumeName: my-model-pv
<|endoftext|>
# source: k8s_examples/AI/model-serving-tensorflow/deployment.yaml type: yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: tf-serving
labels:
app: tf-serving
spec:
replicas: 1
selector:
matchLabels:
app: tf-serving
template:
metadata:
labels:
app: tf-serving
spec:
containers:
- name: tensorflow-serving
image: tensorflow/serving:2.19.0
args:
- "--model_name=my_model"
- "--port=8500"
- "--rest_api_port=8501"
- "--model_base_path=/models/my_model"
ports:
- containerPort: 8500 # gRPC
- containerPort: 8501 # REST
volumeMounts:
- name: model-volume
mountPath: /models/my_model
volumes:
- name: model-volume
persistentVolumeClaim:
claimName: my-model-pvc
<|endoftext|>
# source: k8s_examples/AI/model-serving-tensorflow/ingress.yaml type: yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: tf-serving-ingress
annotations:
nginx.ingress.kubernetes.io/rewrite-target: /$2
spec:
rules:
- http:
paths:
- path: /tf(/|$)(.*)
pathType: Prefix
backend:
service:
name: tf-serving
port:
number: 8501
<|endoftext|>
# source: k8s_examples/AI/model-serving-tensorflow/README.md type: docs
# TensorFlow Model Serving on Kubernetes