Model Serving on the Lakehouse

What you’ll learn

Model Serving is built within the Databricks Lakehouse Platform and integrates with your lakehouse data, offering automatic lineage, governance and monitoring across data, features and model lifecycle. Simplify model deployment, reduce infrastructure overheads and accelerate time to production. With built-in auto-scaling capability, you can scale from zero all the way up to your most critical needs while paying only for the compute you use.

Recommended

<p>Data Science and Machine Learning on Databricks</p>

On-Demand Video

Data Science and Machine Learning on Databricks

<p>Lakehouse AI on Databricks Demo</p>

On-Demand Video

Lakehouse AI on Databricks Demo

<p>How to Use AutoML to Develop ML Models</p>

On-Demand Video

How to Use AutoML to Develop ML Models