Self-Hosting AI Models on a Raspberry Pi 5: A Complete Guide to Free, Private, Local AI Inference

I've been running an AI agent on a Raspberry Pi 5 for the past three months. It writes code, browses the web, manages my email, and even deployed a production SaaS to a DigitalOcean droplet last week. The whole setup costs zero dollars in API fees because every inference runs locally on the Pi itself.

This guide walks through exactly how I set it up, what works, what doesn't, and the specific models that actually run well on ARM hardware with limited RAM.

Why Bother?

I was burning through $40-60/month on OpenAI API calls for my agent project. Every conversation, every code review, every "summarize this for me" was a metered API call. Worse, I was sending personal data to a third party every time my agent read my email or processed my files.

The Pi 5 changed the math. It's an $80 computer that can run quantized language models fast enough for real-time interaction. Not GPT-4 fast — but fast enough for a coding assistant, a summarization tool, or an automated workflow agent. And the privacy angle is real: nothing leaves your network.