Onyx Community Edition
Self-HostedOpen-source self-hosted platform for deploying generative AI models
Overview
Onyx Community Edition is an open-source self-hosted generative AI platform that lets you deploy and manage popular open LLMs (e.g., Llama 2, Mistral) on local servers or private clouds. It offers REST API endpoints for app integration, a web dashboard for model management, and basic fine-tuning tools. Deployable via Docker/Kubernetes, it ensures full data privacy, eliminating reliance on third-party cloud GenAI services. Ideal for teams needing secure, customizable GenAI solutions without subscription costs.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
onyx_community_edition:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: onyx-community-edition
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Deploy & manage open-source LLMs (Llama 2, Mistral)
- REST API endpoints for application integration
- Web-based model management dashboard
- Docker/Kubernetes deployment support
Frequently Asked Questions
? Is Onyx Community Edition hard to install?
It uses Docker Compose for simplified deployment—if you know basic containerization, setup is straightforward. Documentation includes step-by-step guides for local/private cloud instances. However, you’ll need server management skills to maintain it long-term.
? Is it a good alternative to cloud GenAI services like OpenAI?
Yes, if data privacy/control is your priority. Unlike OpenAI, all data stays on your infrastructure. It supports popular open LLMs but lacks advanced features (e.g., GPT-4-level models) and global scalability of cloud services.
? Is Onyx Community Edition completely free?
Yes! The Community Edition is open-source and free to use, modify, and distribute under Apache 2.0. Paid enterprise editions add advanced fine-tuning and dedicated support, but core self-hosted GenAI functionality is free.
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Tool Info
Pros
- ⊕ Full data privacy control (self-hosted)
- ⊕ 100% open-source (Apache 2.0 license)
- ⊕ No recurring subscription fees
- ⊕ Supports multiple popular LLMs
Cons
- ⊖ Requires Docker/Kubernetes setup knowledge
- ⊖ Limited features compared to enterprise editions
- ⊖ Needs powerful hardware for large models
- ⊖ Community-only support (no dedicated help)