Mlflow-On-Ubuntu22-04LTS
by Cloudtrio Solutions
Preconfigured Ubuntu 22.04 LTS VM with MLflow and Python for experiment tracking, model management, and end-to-end MLOps workflows on Azure.
MLflow on Ubuntu 22.04 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, including tracking experiments, managing model versions, and deploying ML pipelines. Create a new Azure VM using this image to start managing your machine learning lifecycle instantly.
Get started with "MLflow on Ubuntu 22.04 LTS" — a secure and Azure-optimized environment designed to simplify MLOps setup. This solution allows data scientists, ML engineers, and developers to focus on building and deploying models rather than configuring infrastructure.
Developed and validated by CloudTrio Solutions, this image provides a seamless experience for running MLflow tracking servers, model registries, and workflow automation 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 22.04 LTS:
- Pre-installed MLflow for end-to-end machine learning lifecycle management
- Python environment ready for AI, data science, and MLOps workflows
- Integrated tracking server, model registry, and artifact storage support
- Secure, scalable, and optimized for Azure cloud 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
Learn More: