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.
Still better than a mini PC for some projects.
Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...
Way back in 1994, Apple beat Canon and Nikon to release the first reasonably priced digital camera, the QuickTake 100. Using ...
On the eve of Apple's 50th anniversary, I bought an Apple QuickTake 100 from 1994. With help from some passionate indie ...
PocketTerm35 handheld Linux device supports Raspberry Pi 4B and Pi 5, featuring a 3.5-inch display, keyboard, UPS power, and ...
Yesterday, I wrote about a 2-year-old open-source hardware ESP32-based DAB+ receiver project, but it turns out there's also a ...
The Sentinel Core board measures 170 x 170mm (6.7″ x 6.7″) and should fit into most computer cases designed for mini ITX boards. It has the dual 100-pin connector used to attach a Raspberry Pi CM5, ...
An earlier version of this automatic gateman system, built around a camera-based design, was published on the Electronics For ...
DIY local backup solution shows a compact Proxmox and TrueNAS backup server using mirrored 24TB Seagate Exos drives for ...