Google's TurboQuant Cuts LLM Cache Memory 6×, Boosts Speed 8×

Google has introduced TurboQuant, a new algorithm designed to solve the massive memory bottlenecks that slow down Large Language Models. It heavily compresses the AI's short-term memory, reducing memory usage by up to six times and significantly speeding up processing. Unlike older compression tools, TurboQuant works instantly without needing to be pre-trained on specific datasets. Most importantly, it achieves this extreme efficiency without causing the model to lose any accuracy or performance.