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 ...

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 ...

What if your offline Raspberry Pi AI chatbot could respond almost instantly, without spending a single extra dollar on hardware? In this walkthrough, Jdaie Lin shows how clever software optimizations ...

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, ...

When developing projects that will require portability, and connectivity, your first instinct is to grab a Raspberry Pi. And why not? This single-board computer (SBC), which has become especially ...

Your refurbed i5 will be larger and use significantly more power to do anything. Jeff Geerling (hi Jeff!) put up a video just as soon as the embargo went down, and he points out that the SoC still ...

The Raspberry Pi 5 is now available with up to 16GB of RAM. That’s the good news. The less good news is that it’s priced at $120. That puts the new Raspberry Pi 16GB perilously close to the price of a ...

From a raw performance standpoint, the Raspberry Pi 5 completely outclasses the Pi 4. Going from Arm Cortex-A72 in the Pi 4’s SoC to Cortex-A76 cores is a big jump in its own right as these cores are ...

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 ...

The Raspberry Pi dominated the maker scene for a decade. Supply chain problems then brought the high flying to an end. With the Raspberry Pi 5, the Raspberry Pi Foundation is now attempting to break ...

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 ...