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

Google's new Multi-Token Prediction drafters can make Gemma 4 run up to 3x faster on your own hardware—no cloud required, and ...

Even if you aren’t using Google Gemini, it might be using your device. Security researcher Alexander Hanff, also known as ...

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, ...

A growing number of individuals and businesses are moving from cloud-based AI tools to local large language models (LLMs) to protect sensitive data, improve speed, and reduce long-term costs. Advances ...

By putting the weights of a highly capable, 33B-parameter agentic model in the hands of researchers and startups, Poolside is ...

Google Chrome silently downloads a 4GB Gemini Nano AI model to eligible devices, and downloads it again if deleted.

Google has been silently downloading "weights.bin" for its on-device Gemini Nano AI model inside the Chrome web browser.

Running advanced AI models locally on portable devices is no longer a distant goal but a practical option, as Alex Ziskind explores in this guide. With frameworks like LMStudio, even compact devices ...

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 ...