Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions,
see Getting Started with Amazon Web Services in China
(PDF).
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 Amazon CLI for more granular security
customization.
You must have the correct IAM permissions configured to create an MLflow Tracking Server.