Want AI on your phone without cloud limits? Models like Llama 3.2, Qwen3, Gemma 3, and SmolLM2 run locally for private chats, coding, reasoning, and image tasks. Llama 3.2 is the best all-rounder, ...

Osaurus combines local and cloud AI models in a Mac app that keeps users’ memory, files, and tools on their own hardware.

The new Cactus AI inference engine allows mobile devices to run local models using 10x less RAM through NPU optimization and ...

Small brains with big thoughts.

The tech industry has spent years bragging about whose cloud-based AI model has the most trillions of parameters and who poured more billions of dollars into data centers. However, the open-source AI ...

With the launch of Google’s Gemma 4 family of AI models, AI enthusiasts now have access to a new class of small, fast, and omni-capable AI designed for fast and efficient local deployment, and NVIDIA ...

Discover how a 12-year-old Raspberry Pi successfully runs a local LLM using Falcon H1 Tiny and 4-bit quantization.

The problem with rolling your own AI is that your system memory probably isn’t very fast compared to the high bandwidth ...

By putting the weights of a highly capable, 33B-parameter agentic model in the hands of researchers and startups, Poolside is positioning itself as a cornerstone of the open-AI ecosystem.

Home media servers running Plex can now double as local AI engines by repurposing their idle GPU resources for large language models. Using tools like Ollama, these systems can switch between ...

Because Gemini Nano is constantly appearing on machines for the first time, people may think this is something new. In ...