
Google TurboQuant cuts AI memory bottlenecks with math
On March 24, 2026, Google Research unveiled Google TurboQuant, a family of quantization methods built to compress vectors and large language model memory without paying the usual overhead tax. The company says the work targets two choke points at once: vector search and the key-value cache that balloons as context windows grow (Google Research). What […]







