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.

Discusses New Business Strategy and Transition to Complete Chip Sales March 29, 2026 8:00 PM EDT Thank you very much. We would like to start the Arm business briefing. I would like to introduce ...

Save your money for future Raspberry Pi purchases.

There were a plethora of tiny, local ISPs in the days of dial-up internet. Along with the big providers, many cities would ...

Even the Raspberry Pi hasn't been immune to the rise in RAM prices, with the cost of some models increasing significantly. For many projects, however, a cheap Raspberry Pi Zero can do a great job. In ...

Once the premium option for data transfers and remote control for high-end audiovisual and other devices, FireWire (IEEE 1394) has been dying a slow death ever since Apple and Sony switched over ...

From Mac Mini M4 to cloud VPS and edge AI hardware, these are the six deployment options worth considering for hosting your ...

Google dropped Gemma 4 on April 2, 2026, and it's a game-changer for anyone building AI. These open models pull smarts straight from Gemini 3, Google's top ...