diff --git a/README.md b/README.md
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[](./fluxon_release)
[](#interface-capabilities)
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[English](./README.md) | [中文](./README_CN.md) | [Docs](https://tele-ai.github.io/Fluxon/) | [中文文档](https://tele-ai.github.io/Fluxon/cn/) |
diff --git a/README_CN.md b/README_CN.md
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+[](#运行要求)
+[](#运行要求)
+[](./fluxon_rs/rust-toolchain.toml)
+[](./fluxon_release)
+[](#接口能力)
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+[中文](./README_CN.md) | [English](./README.md) | [用户文档](https://tele-ai.github.io/Fluxon/cn/) | [English Docs](https://tele-ai.github.io/Fluxon/) |

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当 GPU 算力持续提升,AI 系统的瓶颈正在从单点算子扩展到数据面。推理服务需要跨节点复用 `KV Cache`;训练流水线需要在异构资源池之间传递中间态;模型文件与 `Checkpoint` 需要在远端访问与本地缓存间稳定流动。
@@ -24,17 +43,7 @@ Fluxon 的设计正是围绕这些问题展开。它将数据面资源、对象

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-[](#运行要求)
-[](./fluxon_rs/rust-toolchain.toml)
-[](./fluxon_release)
-[](#接口能力)
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-[中文](./README_CN.md) | [English](./README.md) | [用户文档](https://tele-ai.github.io/Fluxon/cn/) | [English Docs](https://tele-ai.github.io/Fluxon/) |

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