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appliances/service/04132560-bebf-013d-a767-7875a4a4f528.yaml
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--- | ||
name: Service Ray | ||
version: 6.10.0-3-20250127 | ||
publisher: OpenNebula Systems | ||
description: |- | ||
Appliance with preinstalled [Ray](https://www.ray.io/) framework for distributed computing and machine learning workloads. | ||
See the dedicated [documentation](https://github.com/OpenNebula/one-apps/wiki/ray_intro). | ||
short_description: Appliance with preinstalled Ray framework | ||
tags: | ||
- ray | ||
- service | ||
format: qcow2 | ||
creation_time: 1728651992 | ||
os-id: Ubuntu | ||
os-release: 22.04 LTS | ||
os-arch: x86_64 | ||
hypervisor: KVM | ||
opennebula_version: 6.0, 6.2, 6.4, 6.6, 6.8, 6.10 | ||
opennebula_template: | ||
context: | ||
network: 'YES' | ||
oneapp_ray_api_port: "$ONEAPP_RAY_API_PORT" | ||
oneapp_ray_api_route: "$ONEAPP_RAY_API_ROUTE" | ||
oneapp_ray_application_file64: "$ONEAPP_RAY_APPLICATION_FILE64" | ||
oneapp_ray_application_url: "$ONEAPP_RAY_APPLICATION_URL" | ||
oneapp_ray_model_id: "$ONEAPP_RAY_MODEL_ID" | ||
oneapp_ray_model_prompt: "$ONEAPP_RAY_MODEL_PROMPT" | ||
oneapp_ray_model_temperature: "$ONEAPP_RAY_MODEL_TEMPERATURE" | ||
oneapp_ray_model_token: "$ONEAPP_RAY_MODEL_TOKEN" | ||
ssh_public_key: "$USER[SSH_PUBLIC_KEY]" | ||
cpu: '1' | ||
graphics: | ||
listen: 0.0.0.0 | ||
type: vnc | ||
inputs_order: >- | ||
ONEAPP_RAY_API_PORT,ONEAPP_RAY_CHATBOT_CPUS,ONEAPP_RAY_MODEL_ID,ONEAPP_RAY_MODEL_TEMPERATURE,ONEAPP_RAY_MODEL_TOKEN | ||
memory: '8192' | ||
os: | ||
arch: x86_64 | ||
logo: images/logos/ray.png | ||
user_inputs: | ||
oneapp_ray_api_port: O|number|Port number for the API endpoint.| |8000 | ||
oneapp_ray_api_route: O|text|Route path for the REST API exposed by the RAY application.| |/chat | ||
oneapp_ray_application_file64: O|text64|Python application to be deployed in the RAY framework (base64).| | | ||
oneapp_ray_application_url: O|text|URL to download the Python application for the RAY framework.| | | ||
oneapp_ray_model_id: M|text|Determines the AI model(s) to use for inference.||meta-llama/Llama-3.2-1B-Instruct | ||
oneapp_ray_model_prompt: O|text|Starting directive for model responses. | |You are a helpful assisstant. Answer the question. | ||
oneapp_ray_model_temperature: M|number-float|Temperature parameter for model outputs, controlling the randomness of generated text.| |0.1 | ||
oneapp_ray_model_token: M|password|Provides the authentication token required to access the specified AI model. | | | ||
logo: ray.png | ||
images: | ||
- name: service_Ray | ||
url: >- | ||
https://d24fmfybwxpuhu.cloudfront.net/service_Ray-6.10.0-3-20250127.qcow2 | ||
type: OS | ||
dev_prefix: vd | ||
driver: qcow2 | ||
size: 8589934592 | ||
checksum: | ||
md5: 91c5dcb285893d266eadd38dd136b51c | ||
sha256: c5204d2d51a8fa1c218aecc83874382f33697004728e076a87e3d07197236b51 |
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