Model Deployment Cluster

For creating a model deployment cluster with the Ray-enabled template, refer to Ray-Enabled Cluster.

Common Use Cases

• Model Serving - Serve ML models for inference
• Production Deployment - Deploy models at scale
• API Endpoints - Create REST APIs for models
• Batch Inference - Process large batches of data

Next Steps

• Deploy Your First Model
• Create Service Endpoints
• Configure GPU Profiles