MLflow preinstalled for AWS. The open source platform for the machine learning lifecycle - experiment tracking, model registry and deployment - on Python 3.12 and Ubuntu 24.04, gated by a unique admin password generated on first boot. Backed by 24/7 cloudimg support.
## MLflow by cloudimg
MLflow is the open source platform for the end to end machine learning lifecycle: experiment tracking, a model registry, and model packaging and deployment. This Amazon Machine Image delivers the MLflow tracking server and web UI fully installed as a system service, so a production ready MLOps platform is running within minutes of launch. The release available is MLflow 3.13.
## Secure First Boot
The UI and REST API are protected by HTTP Basic Authentication with an administrator password generated uniquely for every instance on first boot and written to a root only file. No shared or default credentials ship in the image.
## Ready To Use
Point your training code at the instance on port 80 with the MLflow client, log experiments and register models, and browse them in the web UI. The backend store and artifacts live on a dedicated, resizable volume; repoint to PostgreSQL and Amazon S3 for production scale.
## cloudimg Support
cloudimg provides 24/7 technical support for this image, covering deployment, experiment tracking, the model registry, backend and artifact store configuration, TLS and scaling.