OpenGenie AI Stack: One-Click Deployable Private AI Infrastructure Solution

OpenGenie is a modular self-hosted AI infrastructure framework that supports AMD, NVIDIA, and ARM64 hardware. It can convert a GPU server into a production-ready private AI device in minutes, providing full-stack features like LLM inference, RAG pipelines, workflow automation, and observability. This addresses the complex pain points of traditional private AI deployment, which requires weeks or even months of effort from professional teams.

With the development of large language model technology, organizations' demand for private AI deployment is growing (due to data privacy, compliance, cost control, and model control). However, building production-ready private AI infrastructure involves multiple complex steps such as GPU driver configuration and model service deployment. Traditional approaches require weeks or even months of engineering effort from professional teams.

• Multi-hardware platform support: Natively supports AMD ROCm, NVIDIA CUDA, and ARM64 platforms (Apple Silicon, Jetson, Ampere);
• 12-stage methodology: Modular design, each stage can be deployed and upgraded independently;
• LLM inference service: Integrates Ollama and OpenWebUI, with VRAM optimization and Lemonade engine to support efficient inference;
• RAG pipeline: Built-in Qdrant vector database, Docling document processor, and Mosquitto message queue;
• Workflow automation: Integrates n8n engine, supports queue mode and Redis backend;
• Observability suite: Grafana dashboards, Prometheus metrics, Loki logs, cAdvisor container monitoring, DCGM Exporter GPU metrics.

• Hardware adaptive configuration: HWI Advisor component automatically detects hardware and generates optimal deployment parameters;
• Containerized deployment: Built on Docker and Docker Compose, with services communicating via independent containers;
• Data persistence and backup: One-click backup and recovery mechanism, supporting scheduled backups.

• Environment preparation: Ubuntu 22.04/24.04 LTS, Docker Engine + Compose v2, GPU drivers (ROCm/CUDA/NVIDIA Container Toolkit), sudo privileges;
• One-click deployment: git clone + deployment command completes in minutes;
• Multilingual support: Documentation is available in Traditional Chinese, Japanese, Korean, and other versions.

• Enterprise private AI assistant: Deploy internally to build a private AI assistant, keeping sensitive data within the firewall;
• Research institution computing platform: Quickly build a shared AI computing platform to support multi-team tasks;
• Edge AI deployment: ARM64 support for deploying on edge devices, suitable for IoT/edge computing scenarios.

OpenGenie is open-sourced under the MIT license. The GitHub repository provides documentation, example configurations, and issue tracking. The development team comes from the Taiwan-based TigerAI organization, with rich practical experience in the AI infrastructure field.

Private AI deployment will become a standard for organizations, and OpenGenie lowers the technical threshold. Future versions will expand model types, optimize resource scheduling algorithms, and introduce more automated operation and maintenance functions.