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

Google introduced TurboQuant, a compression algorithm that reduces the memory footprint of large language models by at least six times without sacrificing accuracy. This breakthrough enhances AI efficiency, enabling leaner AI-native companies and solo founders to deploy powerful models with lower resource costs, supporting the trend toward a more efficient AI economy.