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Modify Nightly Build installation commands for fastdeploy

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Update the installation instructions for the Nightly Build of fastdeploy to use the cu126 index for both SM86/89 and SM80/90 architectures.
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Jiang-Jia-Jun
2026-02-03 20:24:27 +08:00
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parent 829139a5e5
commit 793dac0f9d
1 changed files with 2 additions and 2 deletions
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docs/zh/get_started/installation/nvidia_gpu.md
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@@ -41,7 +41,7 @@ python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/
python -m pip install fastdeploy-gpu==2.4.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 安装Nightly Build的最新版本fastdeploy
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
如你的 GPU 是 SM86/89 架构(4090/L20/L40等)，按如下方式安装
@@ -51,7 +51,7 @@ python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages
python -m pip install fastdeploy-gpu==2.4.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 安装Nightly Build的最新版本fastdeploy
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
## 3. 镜像自行构建