
TurboQuant compression aims to cut AI memory bills fast
On March 24, 2026, Google Research introduced TurboQuant, a set of quantization algorithms for large language models and vector search designed for extreme size reductions. According to Google Research, TurboQuant compression targets two expensive choke points at once: the key–value cache used during inference and the embedding indexes that power similarity search. Why TurboQuant compression […]







