The open-source tool to simplify your ML model deployments_

Save your ML model with a Python call.

Stick to your training workflow.

Model metadata is captured automatically.

Use a human-readable YAML format for any ML framework.

Deploy models anywhere you want.

Switch between deployment platforms with a single command.

Make Git a Model Registry

MLEM is a core building block for Git-native ML model registries, combined with other Iterative.ai tools like GTO or DVC.