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Charmed MLflow documentation
Charmed MLflow documentation
  • Home
  • Tutorial
    • Get started with Charmed MLflow
    • Get started with Charmed MLflow and Kubeflow
  • How to
    • Prepare
      • Create an MLOps-ready Charmed Kubernetes cluster
    • Deploy
      • Deploy to Charmed Kubernetes on AWS
      • Deploy to EKS
      • Deploy Charmed MLflow and Kubeflow to EKS
    • Manage
      • Upgrade
        • Upgrade from 2.1 to 2.15
        • Upgrade from 1.0 to 2.0
      • Backup MLflow data
      • Restore MLflow data
    • Integrate
      • Integrate with COS
      • Integrate with Charmed Kubeflow on Charmed Kubernetes
      • Integrate with Jupyter Notebooks
  • Explanation
    • Why choose Charmed MLflow?
  • Contribute
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DeployΒΆ

The following guides describe the available options to deploy Charmed MLflow.

Learn how to deploy it to an existing Charmed Kubernetes cluster:

  • Deploy to Charmed Kubernetes on AWS

Find out the deployment options for AWS Elastic Kubernetes Service (EKS):

  • Deploy to EKS
  • Deploy Charmed MLflow and Kubeflow to EKS
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Deploy to Charmed Kubernetes on AWS
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Create an MLOps-ready Charmed Kubernetes cluster
Copyright © 2025, Canonical Group Ltd
Last updated on May 13, 2025
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Contents
  • Deploy