Overview

Ray is an open-source framework for distributed computing and machine learning workloads. This appliance is tailored to leverage Ray’s Serve library, enabling efficient deployment of inference APIs. It provides a streamlined solution for building and serving end-to-end AI applications, utilizing pre-trained models from the Hugging Face Transformers library.

Download

The latest version of the Ray appliance is available for download from the OpenNebula public Marketplace:

• Service Ray

Requirements

To ensure optimal performance, it is recommended to provision a virtual machine with at least 8 GB of main memory.

Release Notes

Detailed release notes for each version are available on the OpenNebula release page, providing comprehensive insights into version-specific updates. The Ray appliance is based on Ubuntu 22.04 LTS (x86-64).

Component	Version
Ray	2.40.0

---

Next: Ray Quick Start