Deploy a Model using Docker

Another way to deploy a model is using Docker. Docker is a platform for developing, shipping, and running applications using containerization. It allows you to package your application and its dependencies into a container that can run on any environment.

Deploy a MLFlow model with Docker

You can deploy a MLFlow model with Docker using the following command:

docker run \
    --net host \
    --env MLFLOW_TRACKING_URI=http://localhost:5000 \
    ghcr.io/mlflow/mlflow:v2.17.0 \
    mlflow models serve \
    --model-uri models:/<model_name>/<model_version> \
    --port 5001 \
    --env-manager local