TurboQuant: Google’s 6× KV Cache Compression With Zero Accuracy Loss
TurboQuant, a new technique from Google Research, dramatically compresses key‑value caches by up to six times without precision loss, using PolarQuant and QJL algorithms to transform vectors into polar coordinates and apply quantized Johnson‑Lindenstrauss transforms, thereby boosting inference speed and enabling longer context handling for large language models.
