Run your own self-hosted LLMs with Docker Compose (totaldebug.uk)

A new Docker Compose setup allows users to self-host large language models (LLMs), offering a private alternative to cloud-based AI assistants like ChatGPT. This system leverages Ollama to manage models and a user-friendly front end called Open WebUI, enabling functions like user accounts and file uploads. The design is efficient, requiring just two containers and minimal configuration, making it accessible for those with prior Docker experience. This development is significant for the AI/ML community as it prioritizes privacy, eliminates per-token costs, and reduces latency by keeping data local. Users can run models on either NVIDIA GPUs or CPUs, with clear instructions for setup, including GPU passthrough and health checks to ensure readiness. While local models may not match the latest advanced commercial offerings in complexity, they provide a robust solution for personal tasks, enhancing user agency over their data and experience. This setup underscores a growing trend in AI toward self-hosted solutions that empower users without sacrificing functionality.