Summary

OpenNebula is an open-source cloud management platform designed for building and operating private clouds, edge infrastructures, and AI Factories. It offers unified control over virtual machines, Kubernetes clusters, and GPU-accelerated workloads across on-premises, edge, and hybrid environments, targeting enterprises and technical users seeking flexible, resilient cloud infrastructure.

How It Works

The platform employs a unified management approach, consolidating virtualized, containerized, and AI workloads within a single interface. Its federated architecture enables the operation of distributed infrastructures across multiple sites, while built-in high availability features enhance resilience. Kubernetes integration provides lifecycle management for clusters, and a focus on AI Factory capabilities supports GPU workloads and model deployment.

Quick Start & Requirements

Evaluation is streamlined via miniONE, which deploys a full OpenNebula environment on a single server within minutes. Production installations require following detailed guides available in the official documentation. Specific hardware or software prerequisites beyond a server environment are not detailed in the README.

Highlighted Details

• Unified management of VMs, Kubernetes, and AI workloads from a single platform.
• Federated architecture for managing distributed, multi-site infrastructures.
• Dedicated AI Factory support, including GPU acceleration for model training and inference.
• Flexible access via Web UI, CLI, REST API, and Terraform provider.

Maintenance & Community

Developed with a global community, OpenNebula welcomes contributions via GitHub for features, bug reports, and localization. A community forum provides a support channel, alongside enterprise support options.

Licensing & Compatibility

Licensed under the Apache License, Version 2.0, permitting broad commercial use and integration without copyleft restrictions.

Limitations & Caveats

The README does not explicitly detail limitations, alpha/beta status, or known bugs. Specific hardware requirements for production or advanced features like GPU acceleration are not itemized.