Raspberry Pi
A Hailo-10H accelerator with its own 8 GB of RAM. Lets a Raspberry Pi 5 run vision models and small LLMs offline.
Strengths
Trade-offs
The AI HAT+ 2 sits on top of a Raspberry Pi 5 and does the heavy AI work. Its headline feature is its own 8 GB of memory. That’s what makes it possible to run language models, speech recognition and vision-language models (“what’s in this picture?”) on the Pi, completely offline.
Buy it for generative AI, not just vision. Raspberry Pi says its computer-vision performance is comparable to the original 26 TOPS AI HAT+. If you only need object detection, such as spotting a person, a bird or a failed print, the older HAT or the AI Camera costs less.
Compared with a Jetson Orin Nano, it’s lower-power and fits the Pi ecosystem you may already know, but it has less raw performance and a narrower software stack.
Also in AI for Makers
Text-to-3D and image-to-3D generator with STL export and plugins for the major slicers, including Bambu Studio and OrcaSlicer.
Best for Decorative prints like figurines, props, ornaments and game pieces, where the look matters more than exact dimensions.
A small computer with a real GPU. Runs vision models, small LLMs and robotics stacks on-device, without the cloud.
Best for Robots, smart cameras and drones that need serious on-board AI, and learning CUDA and edge AI.
AI failure detection for 3D printers. Watches your webcam, spots spaghetti and failed prints, and pauses the job.
Best for Klipper and OctoPrint users who leave long prints running unattended.