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Raspberry Pi AI HAT+ 2: $130 Gets You a Local LLM Box With 40 TOPS and Its Own 8GB RAM

$130. That’s what it costs to turn a Raspberry Pi 5 into an offline LLM machine — no cloud, no subscription, no data leaving your desk.

40 TOPS on a 19-Gram Board

The Raspberry Pi AI HAT+ 2 is a PCIe add-on board with a Hailo-10H chip: 40 TOPS at INT4, 26 TOPS for vision, and 8GB dedicated LPDDR4X that leaves your Pi’s system RAM untouched. It ships with five ready-to-run models — Qwen 2.5 1.5B, Llama 3.2 1B, DeepSeek-R1 1.5B. Small models, but running fully offline on a board smaller than a credit card.

What Agents Can Do With It

This is the edge AI hardware the agent crowd has been waiting for. The HAT+ 2 runs hailo-ollama — a standard Ollama-compatible REST API. Any agent that speaks HTTP can POST prompts and get local completions back. No API key, no rate limit.

Stack it with the Pi 5’s GPIO through the Hailo SDK, ONNX Runtime, or TensorFlow Lite, and you get closed-loop edge intelligence for $165 total. LoRA fine-tuning is supported via the Hailo Dataflow Compiler. Reddit r/RaspberryPi and Jeff Geerling’s review have been fueling nonstop discussion since launch.


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