Until now, compression algorithms such as the Lempel-Ziv-Welch (LZW) have been implemented in software. This provided acceptable compression performance in many older systems. But with today's ...

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on during inference. In a preprint, the team reports up to six times lower KV ...

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.