LobeHubFrom the builder
Self-Hosted AI on a Raspberry Pi: A Complete 2026 Deployment Guide
LobeHub's guide shows how to stand up a local model server and chat workspace on a Raspberry Pi 5, with public benchmarks for what the board can really run. Roughly 1.5B parameters feel usable, 3B is near the interactive ceiling, and 7B and up often crawl; a full Docker, LobeHub, and Ollama stack wants 16GB of RAM rather than 8GB.
Steps cover a 64-bit Lite image, NVMe for data, Docker and Ollama install, cross-container access fixes, and Compose deployment of LobeHub's arm64 images. The author marks which buys are worth it and which setups are demos, so readers do not spend subscription-like money on models too slow to use.
A Raspberry Pi 5 with 16GB of RAM costs $120. Add a case, a cooler, a power supply and an NVMe drive and you are at roughly $200 — about the price of a year of a mid-tier AI subscription, except you own the hardware, it works with the network unplugged, and nothing you type leaves the house.
Saved . A shortened excerpt from the official blog; the original publisher retains authorship.