Getting Started & System Requirements
Local LLM Server Manager manages local artificial intelligence engines through a unified interface. The application coordinates language models, image diffusion, 3D mesh reconstruction, video synthesis, and speech generation.
The software runs as a native desktop application, a system tray application, and a headless background service.
System Requirements
Review the hardware and operating system specifications before you install the software.
Operating System Support
| Platform | Supported Versions | Display Environments |
|---|---|---|
| Windows | Windows 10 (64-bit, 21H2+) and Windows 11 | Desktop Shell, System Tray, Windows Service |
| Linux | Ubuntu 22.04+, Debian 12+, Fedora 38+, Arch Linux | X11, Wayland, Headless systemd daemon |
Hardware Requirements
| Hardware Component | Minimum Requirement | Recommended Specification |
|---|---|---|
| Processor (CPU) | 4-core 64-bit x64 processor | 8-core modern x64 processor |
| System Memory (RAM) | 16 GB RAM | 32 GB RAM or higher |
| Graphics Card (GPU) | NVIDIA GPU with 8 GB VRAM | NVIDIA RTX 3060/4070+ with 12 GB to 24 GB VRAM |
| Disk Storage | 20 GB free disk space | 200 GB+ free space on NVMe SSD |
| Network | Loopback network interface | High-speed internet connection for model downloads |
IMPORTANT
Install the latest NVIDIA GPU drivers and CUDA toolkit for hardware acceleration. Verify your GPU setup by running nvidia-smi in your terminal.
NOTE
The system can run language models on CPU cores when a dedicated GPU is absent. However, CPU inference operates at reduced generation speeds.
TIP
Place your model storage directories on a fast NVMe solid-state drive. Fast storage significantly reduces model loading times.
Supported AI Engines
Local LLM Server Manager connects to and orchestrates multiple local inference engines:
- Ollama Engine: Runs Large Language Models (LLMs) locally through port
11434. - Stable Diffusion Forge: Generates images and manages CivitAI checkpoints through port
7860. - ComfyUI Engine: Generates 3D meshes, videos, and complex diffusion workflows through port
8188. - Kokoro TTS Engine: Synthesizes speech with OpenAI-compatible audio endpoints through port
8880.
The manager coordinates these engines through a unified reverse proxy on port 5246.
Getting Started Roadmap
Follow these sequential steps to set up and use Local LLM Server Manager:
Installation Guide
Review the required versus optional component matrix and install the application on Windows or Linux.First-Time Configuration
Auto-detect installed engines, configure engine port numbers, and set your model storage directories.Quickstart Guide
Download your first language model from Hugging Face or Ollama, and test your first prompt.Real Engine Test Flight
Verify that your local inference engines respond to real network requests before queuing heavy workloads.Remote Access & Reverse Proxy
Access your dashboard over LAN, configure SSH tunnels, or set up Caddy reverse proxy authentication.Troubleshooting Guide
Resolve common operational issues, handle VRAM out-of-memory errors, and eliminate port conflicts.
Next Steps
Proceed to the Installation Guide to install the software on your system.