AI models rely on high-dimensional vectors to represent complex data like images and language, but these come with a heavy memory cost that bottlenecks performance-especially in key-value caches used for rapid access to important info. TurboQuant, a new vector compression algorithm introduced for ICLR 2026, slashes that memory burden by up to six times without […]