Self-Hosting AI Tools: Run LLMs on Your Own Server
Run large language models, image generators, and AI tools on your own hardware. Complete privacy, no API costs, full control.
Why Self-Host AI?
Privacy
Your prompts and data never leave your server. No training on your data. No logging by third parties.
Cost
OpenAI GPT-4 API: ~$30/million input tokens. Self-hosted: one-time server cost, unlimited usage.
Control
Choose your model, fine-tune on your data, no usage limits, no content policy restrictions.
Self-Hosted AI Tools
Ollama
The easiest way to run LLMs locally. One command to download and run models.
Open WebUI
ChatGPT-like interface for Ollama. Conversations, model switching, system prompts.
LocalAI
Drop-in replacement for OpenAI's API. Run multiple model types: text, image, audio, embeddings.
Stable Diffusion (via ComfyUI or Automatic1111)
Generate images from text prompts. Complete creative freedom.
Whisper
OpenAI's speech-to-text model. Transcribe audio and video with remarkable accuracy.
Hardware Requirements
CPU-Only (No GPU)
With GPU
Getting Started
The quickest path:
1. Deploy Ollama on TinyPod
2. Deploy Open WebUI and connect it to Ollama
3. Pull a model: ollama pull llama3
4. Start chatting privately
For most self-hosters, a 7B or 13B parameter model on a server with 16 GB RAM provides a solid private AI assistant without breaking the bank.