40 TOPS of inference grunt, 8 GB onboard memory, and the nagging question: who exactly needs this? Raspberry Pi has launched the AI HAT+ 2 with 8 GB of onboard RAM and the Hailo-10H neural network ...

Microsoft’s latest Phi4 LLM has 14 billion parameters that require about 11 GB of storage. Can you run it on a Raspberry Pi? Get serious. However, the Phi4-mini ...

I’m a fan of hosting my own large language models, partly because I want to avoid sending prompts and files to external servers, and also because I don’t want to waste extra money on subscription fees ...

LLMs and RAG make it possible to build context-aware AI workflows even on small local systems. Running AI locally on a Raspberry Pi can improve privacy, offline access, and cost control. Performance, ...

What if you could build an AI chatbot that’s not only blazing fast but also works entirely offline, no cloud, no internet, just pure local processing power? Below, Jdaie Lin breaks down how he ...

TinyLlama delivered the strongest responsiveness on the Pi, making it the most usable option for lightweight local inference. DeepSeek-R1 produced richer reasoning output but incurred much longer ...

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 ...

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 ...