Google’s TurboQuant slashes AI memory use without accuracy loss

Google introduced TurboQuant, a compression algorithm that reduces large language model memory usage by at least six times without sacrificing accuracy. This innovation supports more efficient AI deployment, enabling smaller teams and solo founders to build powerful AI-native products with lower infrastructure costs. TurboQuant represents a significant step toward a leaner AI economy.