TurboQuant: Google's answer to memory hunger

Google has unveiled TurboQuant, a new lossless compression algorithm designed to optimize memory usage in artificial intelligence systems. The goal is to significantly reduce the amount of memory required to run complex models, with a compression factor that, according to Google, can reach up to 6x.

A project still in the experimental phase

Despite the promising premises, TurboQuant is currently confined to Google's research laboratories. It is not yet clear when and if this technology will be integrated into the company's products and services. The online community, always ready to seize the novelties of the sector, immediately compared TurboQuant to the "Pied Piper" project of the television series Silicio Valley, known for its data compression ambitions.