This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

What if your next AI assistant didn’t need the internet to answer your questions, generate images, or recognize objects? Imagine a compact, powerful device sitting on your desk, running advanced AI ...

The Raspberry Pi 5 introduces a new era of offline artificial intelligence, combining advanced hardware and software to enable local AI systems that can both perceive and create. At the heart of this ...

Raspberry Pi AI HAT+ 2 allows Raspberry Pi 5 to run LLMs locally Hailo-10H accelerator delivers 40 TOPS of INT4 inference power PCIe interface enables high-bandwidth communication between the board ...

A single open-source AI agent has created hardware shortages, sent a small British tech stock soaring, and triggered a wave ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Sure, we may have constant access to AI chatbots on our smartphones, sitting accessibly in our pockets, lessening the need for a dedicated portable device. But what if I told you that rather than ...

TL;DR: Raspberry Pi products have been used in a wide range of custom computing applications, from industrial automation to IoT and everything in between. Thanks to a recently introduced add-on, the ...