Local AI on Raspberry Pi: Guides, Benchmarks & Tools

Running LLMs locally on a Raspberry Pi 5, Jetson, or another Linux SBC is completely doable in 2026 - if you pick the right models, keep thermals under control, and know your power budget. This site collects the guides we use ourselves, plus the planning tools we built after benchmarking dozens of setups.

Guides

How to Benchmark LLMs on a Raspberry Pi 5 (llama.cpp, step by step)
Install llama.cpp, pick models that actually fit, measure tokens/sec honestly, and keep runs repeatable.

Power Budgeting Local AI on a Raspberry Pi 5
Real wattage numbers, PSU math, and what sustained inference actually costs you on the power bill.

Jetson Orin Nano vs Raspberry Pi 5 for Local AI
An honest comparison: memory bandwidth, throughput, price, and which one fits your project.

The Toolkit

These are the tools we built for our own bench work. Instant download, priced for hobbyists.

Edge AI Readiness Kit for Raspberry Pi, Jetson & Linux SBCs €7.83
The full starter bundle: checklists, model picks, and setup paths for every common SBC.

Raspberry Pi Local AI Benchmark Workbook €6.00
The structured log sheets and test protocol from our benchmark guide, ready to fill in.

Local AI Benchmark Report Generator €5.00
Turn raw benchmark logs into a clean, shareable report in minutes.

Local AI Total Cost Calculator €4.00
Hardware + power + time: what your local AI setup really costs per month and per query.

Local AI Model Compatibility Audit €4.00
Check which models your board can actually run before you download 40 GB of weights.

Local AI Thermal Test Planner €4.00
Plan thermal tests that catch throttling before it ruins your numbers.

Local AI Power Budget Planner €4.00
Spec your PSU, cooling, and runtime costs in one sheet.