Google’s TurboQuant AI-compression algorithm can reduce
LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language models (LLMs) while also boosting speed and maintaining accuracy.

TurboQuant is aimed at reducing the size of the key-value cache, which Google likens to a “digital cheat sheet” that stores important information so it doesn’t have to be recomputed.