Get the features of
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 centralised 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
We manage your MLflow deployments on any cloud, including: automatically deploying, patching, optimising 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
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
Read more about Charmed MLflow's capabilities and follow our tutorials.
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