AI news illustration: Raspberry Pi 5 Gets USD 130 AI HAT with 8GB RAM for Machine Learning Workloads
Raspberry Pi 5 AI HAT Supercharges Machine Learning Projects
For $130, Raspberry Pi now sells an AI co-processor. This new HAT+ 2 board packs 8GB of RAM specifically for running local generative AI models like Llama 3.2 and several Qwen variants. The goal is simple: shift these intensive workloads off the Pi 5's main Arm CPU. In one demonstrated application, a camera feed powered by the HAT generates live text descriptions of a scene or answers specific questions about what it sees.
The Raspberry Pi 5 can shift AI-related workloads to the $130 AI HAT +2. Once connected, the Raspberry Pi 5 will use the AI HAT+ 2 to handle AI-related workloads while leaving the main board's Arm CPU available to complete other tasks. Unlike the previous AI HAT+, which is focused on image-based AI processing, the AI HAT+ 2 comes with onboard RAM and can run small gen AI models like Llama 3.2 and DeepSeek-R1-Distill, along with a series of Qwen models.
You can train and fine-tune AI models using the device as well. A demo shared by Raspberry Pi shows how you can use the add-on board to power an AI model capable of generating a text-based description of a camera stream, as well as answer a question about whether there are any people in the scene.
The split in duties is clear. The HAT handles model training and inference. The Pi's primary processor is freed up.
This move makes the Pi 5 a far more practical testbed for generative AI, from chatbots to vision systems. Developers can now avoid the cloud and expensive desktop hardware. Ultimately, the software tooling around these local models will decide its fate.
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Common Questions Answered
What unique capabilities does the Raspberry Pi 5 AI HAT+ 2 offer for machine learning projects?
The AI HAT+ 2 provides 8GB of RAM and a Hailo 10H chip capable of delivering 40 TOPS of AI performance. Unlike its predecessor, this add-on can run small generative AI models like Llama 3.2, DeepSeek-R1-Distill, and Qwen models, while offloading intensive computational tasks from the main Raspberry Pi 5 board.
How does the AI HAT+ 2 improve processing efficiency for Raspberry Pi 5 users?
The AI HAT+ 2 allows users to shift AI-related workloads away from the main Arm CPU, freeing up processing power for concurrent tasks. By using the dedicated AI HAT+ 2, developers can run machine learning models and AI experiments without compromising the performance of other computational processes.
What is the pricing and key performance specification of the Raspberry Pi 5 AI HAT+ 2?
The AI HAT+ 2 is priced at $130 and comes with 8GB of RAM and a Hailo 10H chip that provides 40 TOPS (trillion operations per second) of AI performance. This expansion board represents a significant upgrade from previous AI HAT models, offering broader generative AI capabilities for hobbyists and developers.
Further Reading
- A Hands-On Review of the Raspberry Pi AI HAT+ 2 — Hackster.io
- Raspberry Pi AI HAT+ 2 Review: The brains and the brawn — Tom's Hardware
- Raspberry Pi's New AI Hat Adds 8GB of RAM for Local LLMs — Hacker News
