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## Appliance Description
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[Ray](https://www.ray.io/) is an open-source framework for distributed computing and machine learning workloads. The [Ray Appliance](https://github.com/OpenNebula/one-apps/wiki/ray_intro) leveragles Ray's **Serve** to enable efficient deployment of inference APIs, and includes the [vLLM](https://docs.vllm.ai/en/latest/) for fast inference and serving.
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[Ray](https://www.ray.io/) is an open-source framework for distributed computing and machine learning workloads. The [Ray Appliance](https://github.com/OpenNebula/one-apps/wiki/ray_intro) leveragles Ray's **Serve** library to enable efficient deployment of inference APIs, and includes the [vLLM](https://docs.vllm.ai/en/latest/) for fast inference and serving.
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## Main Features
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-[Ray](https://github.com/OpenNebula/one-apps/tree/master/appliances/Ray) in the [OpenNebula one-apps](https://github.com/OpenNebula/one-apps) project
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-[Full documentation](https://github.com/OpenNebula/one-apps/wiki/ray_intro) for the Ray appliance
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- Download the Ray appliance from the [OpenNebula Marketplace](https://marketplace.opennebula.io/appliance/04132560-bebf-013d-a767-7875a4a4f528)
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