Google's TurboQuant compresses LLM memory by 6x with zero accuracy loss.

That means models that needed expensive GPUs can now run on a 16GB Mac Mini.

No retraining. No fine-tuning. Just drop it in.

Developers already built working implementations from the paper before Google released any code.

Local AI just got a lot more real.