Vertex AI Endpoints: Deploy Your Model to Production with Terraform
📰 Medium · Machine Learning
Deploy your trained model to a scalable Vertex AI endpoint with autoscaling and traffic splitting using Terraform
Action Steps
- Train your model using Vertex AI
- Create a Terraform configuration file to define your endpoint
- Deploy your model to the endpoint using Terraform
- Configure autoscaling and traffic splitting for canary rollouts
- Test your endpoint with request-response scenarios
Who Needs to Know This
Machine learning engineers and DevOps teams can benefit from this article to deploy and manage their models in production
Key Insight
💡 Use Terraform to deploy and manage your machine learning models in production with scalability and traffic splitting
Share This
Deploy your ML model to production with Vertex AI Endpoints and Terraform!
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