OraCore · Topic ·research

Google's TurboQuant Cuts LLM Memory Costs

Google says TurboQuant uses QJL and PolarQuant to shrink vector-quantization memory and speed up LLM inference by up to 8x.

3 articles in this thread ·Last updated 3h ago·First seen Jul 5, 2026

Timeline

  1. Google Research’s TurboQuant claims 6x less memory and 8x faster inference with no accuracy loss, jolting AI inference economics.