MLflow made easy
A seamless start to your machine learning journey with open source
Charmed MFlow is a lightweight and securely designed machine learning platform for any developer. It can be deployed on your infrastructure of choice, and is backed by expert support.
Read about lightweight ML with MLflow Contact usGet the features of upstream MLflow
Charmed MLflow, Canonical's distribution of the upstream project, comes with all the upstream features, including:
- Experiment tracking
- Reproducible projects
- Model registry
- Models deployment
Record and query experiments: code, data, config, and results.
Package data science code in a format that enables reproducible runs on any platform.
Store, annotate, and manage models in a centralized repository.
Deploy machine learning models in diverse serving environments.
With the peace of mind of a secure and supported solution
In addition to upstream features, Charmed MLflow includes:
- Integration with machine learning and big data tools
- Simplified deployment on any infrastructure
- Security patching
- Bug fixing
Deploy easily on any infra, from workstations to public clouds
Run Charmed MLflow on any environment. The machine learning platform is made for everyone – from enthusiasts who are just getting started to enterprises running workloads at scale.
- Quickly deploy it on a workstation
- Deploy on any CNCF-conformant Kubernetes
- Run it on a public cloud
MLflow services
Managed services
We manage your MLflow deployments on any cloud, including: automatically deploying, patching, optimizing and upgrading with our open source operator.
- Backed by a Service Level Agreement (SLA)
- Low cost of ownership
- Expert help in application operations
- 24/7 support included
Enterprise support
We provide 24/7 phone and ticket support for your MLflow deployments on any environment with an Ubuntu Pro + Support subscription.
- Backed by an SLA
- Quickly resolve technical support issues
- Expert help in applications operations, troubleshooting, and bug fixes
Long-term security maintenance
We provide long-term security maintenance for Charmed MLflow, as well as the extensive open source libraries used for model training, and other MLOps tools (including TensorFlow, PyTorch, Feast, and more), through Ubuntu Pro. Ubuntu Pro is Canonical’s comprehensive subscription for open source security, support, and compliance.
- Reduce average CVE exposure time with timely security updates
- Get up to 15 years of stability for infrastructure, OS, and applications
- Comply with FedRAMP, HIPAA, and more
Try a 30-day free trial ›
MLflow resources
Read more about Charmed MLflow's capabilities and follow our tutorials.
Understand the differences between the upstream project and Canonical's distribution.
Understand the differences between the most famous open source solutions.
Learn how to take models to production using open source MLOps platforms.