KVCache.AI

KVCache.AI is dedicated to advancing the state of the art in Large Language Model (LLM) inference optimization. In decoder-only Transformer models, data from diverse modalities can ultimately be transformed into KVCache, making it a central component of modern LLM serving systems. As a result, KVCache has become a key focus for improving inference efficiency through techniques such as caching, scheduling, compression, offloading, and disaggregated serving architectures.

Through open-source projects and academic research, KVCache.AI develops effective, practical, and high-performance solutions for KVCache management and LLM serving optimization. The project aims to make LLM deployment more accessible, efficient, and cost-effective for organizations of all sizes.