Canonical Releases Charmed Mlflow

Canonical announced today that Charmed MLFlow, their distribution of the popular machine learning platform, is now generally available. Charmed MLFlow is part of Canonical’s growing MLOps portfolio and is ideal for model registry and experiment tracking. It is integrated with other AI and big data tools such as Apache Spark and Kubeflow, and runs on any infrastructure from workstations to public and private clouds. Charmed MLFlow has model registry capabilities, enabling professionals to store, annotate and manage models in a centralised repository, and supports hybrid and multi-cloud scenarios.