Tired of monthly AI subscription fees and worried about data privacy? A new podcast episode from Eddy Says Hi shows how you can turn a Raspberry Pi 5 into a personal, remote-accessible AI server.
The project skips the desktop environment in favor of Raspberry Pi OS Lite for better performance, and uses llama.cpp for fast local inference. The guide covers running language models like Qwen 0.8B and Llama 3.2 3B directly on the tiny single-board computer.
For secure remote access, the setup uses Tailscale to create a private tunnel, allowing you to chat with your local AI from anywhere using your phone—without exposing your home network to the internet. The episode also walks through installing Open WebUI for a clean chat interface and tuning context window settings.
"This is your guide to digital sovereignty and high-tech tinkering!" – Eddy Says Hi
Whether you're a privacy enthusiast or just want to experiment with self-hosted AI, this project proves that powerful language models can run on affordable, low-power hardware.