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 the lean AI economy by enabling smaller teams and solo founders to deploy powerful AI tools more cost-effectively. Efficiency gains like these are critical as AI adoption expands across startups and established firms alike.