The release moves agentic AI closer to users, but enterprises must still overcome hardware and security hurdles.

An overview of Gemma 4 12B, a model designed to bring high-performance multimodal intelligence directly to your laptop.

Meet Gemma 4 12B: the first medium-sized, encoder-free multimodal model capable of natively ingesting audio and video. Ideal for local AI development with 16GB VRAM, Hugging Face…

Google DeepMind releases Gemma 4 12B, an encoder-free multimodal model with native audio that runs on a laptop.

For enterprise leaders aiming to decentralize their AI workloads, Gemma 4 12B offers a rare combination of edge-friendly efficiency and frontier-class reasoning.

Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.

Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.

Google Deepmind's Gemma 4 12B is an open-source model that processes text, images, and audio natively and runs on laptops with just 16 GB of RAM. It nearly matches the…

The release moves agentic AI closer to users, but enterprises must still overcome hardware and security hurdles.

Google Just Made Your Laptop a Multimodal AI Workstation Yesterday, Google dropped Gemma 4...

In addition to Google AI Edge Gallery, the company also released the Gemma 4 12B model and the Google AI Edge Eloquent dictation app for the Mac.

Google introduces the efficient Gemma 4 12B AI model, designed to operate seamlessly on laptops with just 16GB of RAM, catering to average consumer hardware.

The new open source model is encoder-free and can run on a 16GB RAM computer.