KV Cache: The Hidden Cost of Long-Context AI
中文摘要
KV Cache 解释了为何长对话和智能体工作流会消耗巨量 GPU 显存，这是长上下文 AI 的隐藏成本。
English Summary
KV Cache explains why long-context AI and agent workflows consume massive GPU memory even when the model remains unchanged, representing a significant hidden cost.
Original Excerpt
Why longer conversations and agent workflows can consume enormous GPU memory even when the model itself never changes Continue reading on Medium »