Self-hosting large language models has become increasingly popular as developers and organizations seek greater control over their AI infrastructure. Running models like Llama 3, Mistral, or Gemma on your own hardware gives you complete privacy, eliminates API costs, and lets you customize everything to your exact needs. The best part is that modern tools make this process surprisingly straightforward, even if you’re not a DevOps expert.
This comprehensive guide will walk you through setting up your own LLM hosting environment using Ollama and Open WebUI with Docker.