Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop
Google has launched Gemma 4 12B, an 11.95-billion-parameter open-source AI model designed for local execution on standard enterprise laptops, enabling offline use and enhanced data privacy. Its innovative "Unified" architecture eliminates the need for separate encoders, resulting in lower latency and reduced memory requirements, making it particularly suitable for enterprises with strict data compliance needs and multimodal automation workflows.
For enterprise leaders focused on AI deployment with strict data privacy, Google's release of the Gemma 4 12B model is a significant development. Its encoder-free "Unified" architecture allows it to process multimodal inputs with reduced latency and memory requirements, making it particularly suitable for edge computing environments. This model can run locally on standard laptops with just 16GB of VRAM, offering a cost-effective solution that maintains compliance with regulatory frameworks by processing sensitive data on-premises.