
Databricks Model Serving is a unified, serverless platform for deploying and governing classical ML models, generative AI models, and AI agents as real-time REST API endpoints and batch inference pipelines, with automatic autoscaling, built-in governance, and support for both Databricks-hosted and external foundation models.