Valkey project maintainer Madelyn Olson on the 9.1 release including hybrid search, AI maintainer agents and a 10% memory ...

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 ...

Large Language Models (LLMs) and Generative AI are driving up memory requirements, presenting a significant challenge. Modern LLMs can have billions of parameters, demanding many gigabytes of memory.