
Google TurboQuant promises extreme AI compression gains
On March 24, 2026, Google Research introduced TurboQuant, a set of quantization algorithms designed to shrink the memory footprint of large language models and vector search systems. The team highlights two new approaches — Quantized Johnson–Lindenstrauss and PolarQuant — aimed at “massive compression” without the usual metadata tax that hobbles older methods, according to Google […]







