AI/ML
Deploy OpenThinker 7B on GCP: Best Practices for AI Model Hosting
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Introduction
Deploying OpenThinker 7B on Google Cloud Platform (GCP) allows for scalable, secure, and cost efficient hosting of the model. GCP provides various services such as Google Kubernetes Engine (GKE), Cloud Run and Compute Engine (GCE) for deployment.
In this guide, we will focus on deploying OpenThinker 7B using Google Kubernetes Engine (GKE), which provides managed Kubernetes infrastructure for deploying and scaling containers.
Key Benefits of Deploying OpenThinker 7B on GCP
- Scalability: Auto-scaling for high-demand workloads
- Cost Optimization: Pay for compute resources as needed
- Managed Kubernetes: Simplifies deployment and scaling
- Security: Integrated IAM and VPC networking
Step 1: Prerequisites
Before starting, ensure you have:
- A Google Cloud account with billing enabled
- Google Cloud SDK (gcloud CLI) installed and authenticated
- Docker installed on your local machine
- A pre-built Docker image of OpenThinker 7B
- Kubernetes command-line tool (kubectl) installed
Step 2: Push the Docker Image to Google Container Registry (GCR)
Enable GCR API and Authenticate Docker
Enable Google Container Registry (GCR):
gcloud services enable containerregistry.googleapis.comAuthenticate Docker to push images to GCR:
gcloud auth configure-docker
Tag the Docker Image
Retrieve your GCP project ID:
gcloud config get-value projectTag the image for GCR (replace <project-id> and <region> with your actual values):
docker tag openthinker-7b gcr.io/<project-id>/openthinker-7b:latestPush the Image to GCR
docker push gcr.io/<project-id>/openthinker-7b:latestOnce completed, the image will be stored in Google Container Registry (GCR).
Step 3: Create a GKE Cluster
We will use Google Kubernetes Engine (GKE) to deploy the model.
Enable GKE API
gcloud services enable container.googleapis.com
Create a GKE Cluster
gcloud container clusters create openthinker-cluster \ --zone us-central1-a \ --num-nodes 2 \ --machine-type n1-standard-4
This command creates a 2-node cluster in us-central1-a using n1-standard-4 instances.
Connect to the Cluster
gcloud container clusters get-credentials openthinker-cluster --zone us-central1-aStep 4: Deploy OpenThinker 7B on GKE
Create a Kubernetes Deployment YAML File
Create a new file called openthinker deployment.yaml:
apiVersion: apps/v1kind: Deploymentmetadata: name: openthinker-deploymentspec: replicas: 1 selector: matchLabels: app: openthinker template: metadata: labels: app: openthinker spec: containers: - name: openthinker image: gcr.io/<project-id>/openthinker-7b:latest ports: - containerPort: 11434 resources: limits: memory: "8Gi" cpu: "2"
Apply the Deployment
kubectl apply -f openthinker-deployment.yamlStep 5: Expose the Deployment
To allow external access to OpenThinker 7B, create a Kubernetes Service.
Create a Service YAML File
Create a new file called openthinker-service.yaml:
apiVersion: v1kind: Servicemetadata: name: openthinker-servicespec: type: LoadBalancer selector: app: openthinker ports: - protocol: TCP port: 80 targetPort: 11434
Apply the Service
kubectl apply -f openthinker-service.yaml
This command exposes OpenThinker via a LoadBalancer, which assigns a public IP.
Step 6: Verify Deployment
Check Running Pods
kubectl get pods
Ensure the pod is running.
Get the External IP
kubectl get service openthinker-service
Look for the EXTERNAL IP field. Once assigned, you can access OpenThinker using:
curl http://<external-ip>
Expected output:
{"message": "Model is up and running"}
Step 7: Scaling the Model (Optional)
To handle high traffic, increase the number of replicas:
Update the Replica Count
kubectl scale deployment openthinker-deployment --replicas=3
Enable Auto Scaling
kubectl autoscale deployment openthinker-deployment --cpu-percent=70 --min=1 --max=5
This scales the model dynamically based on CPU usage.
Step 8: Cleaning Up Resources (If Needed)
To delete the Kubernetes deployment:
kubectl delete deployment openthinker-deploymentkubectl delete service openthinker-service
To delete the GKE cluster:
gcloud container clusters delete openthinker-cluster --zone us-central1-a
Conclusion
Deploying OpenThinker 7B on Google Cloud Platform (GCP) using GKE allows for scalable, managed deployment. By leveraging Google Kubernetes Engine (GKE), Google Container Registry (GCR) and Load Balancers, the model runs efficiently with minimal manual intervention.
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