From fd6436e68799f1dae4d3f5a9085cd545d2f02b7c Mon Sep 17 00:00:00 2001
From: Ding <30425407+playaswd@users.noreply.github.com>
Date: Thu, 6 Nov 2025 14:21:10 +0800
Subject: [PATCH] fix: correct typo in nvidia_gpu.md

---
 docs/requirements.txt                          | 1 +
 docs/zh/get_started/installation/nvidia_gpu.md | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/docs/requirements.txt b/docs/requirements.txt
index c042b09e6d1..f4361bacf03 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -3,3 +3,4 @@ mkdocs-get-deps
 mkdocs-material
 mkdocs-material-extensions
 mkdocs-multilang
+mkdocs-static-i18n
diff --git a/docs/zh/get_started/installation/nvidia_gpu.md b/docs/zh/get_started/installation/nvidia_gpu.md
index 9b00088f6cf..b2584495a46 100644
--- a/docs/zh/get_started/installation/nvidia_gpu.md
+++ b/docs/zh/get_started/installation/nvidia_gpu.md
@@ -14,7 +14,7 @@
 
 ## 1. 预编译Docker安装(推荐)
 
-**注意**： 如下镜像仅支持SM 80/90架构GPU（A800/H800等），如果你是在L20/L40/4090等SM 86/69架构的GPU上部署，请在创建容器后，卸载```fastdeploy-gpu```再重新安装如下文档指定支持86/89架构的`fastdeploy-gpu`包。
+**注意**： 如下镜像仅支持SM 80/90架构GPU（A800/H800等），如果你是在L20/L40/4090等SM 86/89架构的GPU上部署，请在创建容器后，卸载```fastdeploy-gpu```再重新安装如下文档指定支持86/89架构的`fastdeploy-gpu`包。
 
 ``` shell
 docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.0-rc0