Implementation:Tensorflow Serving GKE Cluster Setup

Knowledge Sources	TensorFlow Serving TF Serving Kubernetes
Domains	Cloud_Infrastructure, Kubernetes
Last Updated	2026-02-13 17:00 GMT

Overview

Concrete tool for creating a Google Kubernetes Engine cluster for TensorFlow Serving deployment using gcloud CLI commands.

Description

Three gcloud commands provision and configure a GKE cluster:

1. gcloud auth login --project authenticates and selects the GCP project
2. gcloud container clusters create provisions the cluster with specified node count
3. gcloud container clusters get-credentials updates local ~/.kube/config with cluster endpoint and authentication

Usage

Run these commands once to provision the cluster. The cluster persists until explicitly deleted. For production, consider Terraform or infrastructure-as-code tools instead.

Code Reference

Source Location

• Repository: tensorflow/serving
• File: tensorflow_serving/g3doc/serving_kubernetes.md (L168-218)

Signature

# Authenticate and select project
gcloud auth login --project tensorflow-serving

# Create cluster
gcloud container clusters create resnet-serving-cluster --num-nodes 5

# Get credentials for kubectl
gcloud container clusters get-credentials resnet-serving-cluster

Import

# Requires: gcloud SDK
# GCP project with Kubernetes Engine API and billing enabled

I/O Contract

Inputs

Name	Type	Required	Description
Cluster name	string	Yes	Name for the GKE cluster
--num-nodes	int	No	Number of worker nodes (default varies by zone)
GCP project	string	Yes	Authenticated GCP project ID

Outputs

Name	Type	Description
GKE cluster	cluster	Running Kubernetes cluster with N nodes
~/.kube/config	file	Updated kubectl configuration for cluster access

Usage Examples

Create Cluster

# Authenticate
gcloud auth login --project my-project

# Create cluster with 5 nodes
gcloud container clusters create serving-cluster \
    --num-nodes=5 \
    --machine-type=n1-standard-4

# Get kubectl credentials
gcloud container clusters get-credentials serving-cluster

# Verify
kubectl get nodes

Related Pages

Implements Principle

• Principle:Tensorflow_Serving_Kubernetes_Cluster_Creation

Requires Environment

• Environment:Tensorflow_Serving_Kubernetes_Deployment_Environment