# MLflow Tracking Servers
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An [MLflow Tracking Server](https://mlflow.org/docs/latest/tracking.html#mlflow-tracking-server-optional) 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.

**Topics**
+ [Set up IAM permissions for MLflow](mlflow-create-tracking-server-iam.md)
+ [Create a tracking server using Studio](mlflow-create-tracking-server-studio.md)
+ [Create a tracking server using the AWS CLI](mlflow-create-tracking-server-cli.md)