MLflow Tracking Servers

An MLflow Tracking Server is a stand-alone HTTP server that serves multiple REST API endpoints for tracking runs and experiments. A tracking server is required to begin tracking your machine learning (ML) experiments with SageMaker AI and MLflow. You can create a tracking server through the Studio UI, or through the AWS CLI for more granular security customization.

You must have the correct IAM permissions configured to create an MLflow Tracking Server.