Model Serving with Databricks

What you’ll learn

Databricks Model Serving makes it easy to deploy AI models without dealing with complex infrastructure.

It turns your MLflow machine learning models into scalable REST API endpoints, offering a reliable and fast service for deployment. The system adjusts automatically to changes in demand, cutting infrastructure costs and improving latency performance.

In simple words, you can deploy different types of models, whether they're for language, vision, audio, tabular data, or custom models. It doesn't matter how the model was created—whether from scratch, using open source software, or fine-tuned with private data.

Launch product tour


Product Tour




Try Databricks free

Test-drive the full Databricks platform free for 14 days

Simplify data ingestion and automate ETL

Collaborate in your preferred language

12x better price/performance than cloud data warehouses

Create your Databricks account

Sign up with your work email to elevate your trial with expert assistance and more.