TurboQuant: Google's 6x KV Cache Compression, the Pied Piper Moment, and the New Inference Cost Math - May 7, 2026

Google Research presented TurboQuant at ICLR 2026, a vector quantization algorithm designed to compress LLM key-value caches. This development could lead to an 8x attention speedup and a 6x memory reduction, potentially halving enterprise AI inference costs.

Listen