Google’s TurboQuant AI compression cuts LLM memory use by 6x without quality loss

Google introduced TurboQuant, an AI-compression algorithm that reduces large language model memory usage by six times while maintaining output quality. This efficiency gain could enable leaner AI-native companies and solo founders to deploy powerful AI tools with lower infrastructure costs. TurboQuant’s approach contrasts with other compression methods that often degrade model performance.