Google’s TurboQuant Algorithm Cuts AI Memory Use Sixfold Without Accuracy Loss

Google has developed TurboQuant, a compression algorithm that reduces the memory footprint of large language models by at least six times while maintaining accuracy. This innovation promises significant efficiency gains for AI deployments, enabling leaner AI-native companies and solo founders to operate with lower computational costs.