[ICT시사용어] 터보퀀트(TurboQuant)

TurboQuant significantly reduces LLM memory footprint by compressing KV caches to 3-4 bits while maintaining performance, cutting storage requirements to one-sixth while enabling up to 8x speedup. This breakthrough mitigates dependency on high-bandwidth memory and expensive GPUs, making it feasible to deploy heavy AI models on memory-constrained devices. As a transformative optimization technique, TurboQuant reshapes AI infrastructure economics and accelerates on-device AI adoption across the industry.