Context becomes AI infrastructure

Enterprise AI systems face a new bottleneck: context, not model quality. Long conversations and complex workflows generate tokens that produce key value (KV) cache, the working memory enabling efficient reasoning. This shift makes context management a core infrastructure concern for scaling AI performance and cost.