The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

TurboQuant, OSCAR, and EpiCache are three approaches addressing the memory bottleneck posed by KV cache, which has become larger than model weights in long-context scenarios. Each method employs distinct compression techniques to optimize KV cache usage, suggesting that these solutions may be more complementary than competitive. This development is significant for practitioners as it enables more efficient memory management in large language models, potentially enhancing performance in applications requiring extensive context.