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.
