https://store-images.s-microsoft.com/image/apps.38748.9bf6d419-f092-443a-a81c-1e6e8ad3414e.f479090b-66a0-442e-8cb0-1d6c32e63c19.31013645-8e0b-47c0-9732-9e8e727efe90

Mlflow-On-Ubuntu24-04LTS

by Cloudtrio Solutions

Preconfigured Ubuntu 24.04 LTS VM with MLflow, Python, and essential ML tools for experiment tracking, model management, and MLOps workflows.

MLflow on Ubuntu 24.04 LTS provides a fully pre-configured environment for experiment tracking, model management, and MLOps workflows on Azure. It includes MLflow, Python, and essential machine learning tools, ensuring a consistent and reliable setup across Azure compute resources.

This image comes with MLflow preinstalled and ready to use for machine learning operations, model versioning, and deployment pipelines. Simply create a new Azure VM and select this image from the marketplace to begin managing your ML lifecycle instantly.

Get started with "MLflow on Ubuntu 24.04 LTS" — a secure and optimized environment tested for Azure cloud deployments. This solution eliminates the complexity of manual setup and allows ML engineers, data scientists, and developers to focus on experimentation and production workflows.

Developed and validated by CloudTrio Solutions, this image provides a seamless experience for building, tracking, and deploying machine learning models on Azure. Our Azure experts are available 24/7 via phone and email to assist with deployment or configuration.

Key Features Available in MLflow on Ubuntu 24.04 LTS:

  • Pre-installed MLflow for end-to-end ML lifecycle management
  • Python environment ready for AI, data science, and MLOps workflows
  • Integrated tracking server, model registry, and artifact support
  • Secure, scalable, and optimized for Azure performance
  • Open-source, cost-effective, and easy to extend

Disclaimer: CloudTrio Solutions does not offer commercial licenses for any open-source software included in this image. All components are provided under their respective open-source licenses.

Default port: 5000
Allowed port: 5000

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