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[Doc] Update docs for v2.3.0rc0 (#4828)

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* [Doc] Update docs for v2.3.0rc0

* [Doc] Update docs for v2.3.0rc0

* [Doc] Update docs for v2.3.0rc0

* Update README_CN.md

* Add deployment guide link for FastDeploy v2.3-rc0

Updated release note for FastDeploy v2.3-rc0 to include deployment guide link.

* Add Deployment Guide link for FastDeploy v2.3-rc0

Updated the news section to include a link to the Deployment Guide for FastDeploy v2.3-rc0.

---------

Co-authored-by: Jiang-Jia-Jun <jiangjiajun@baidu.com>
This commit is contained in:
Jiang-Jia-Jun
2025-11-05 19:45:53 +08:00
committed by GitHub
parent 4c2ad15258
commit aec1a84886
7 changed files with 110 additions and 111 deletions
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10
docs/get_started/installation/nvidia_gpu.md
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@@ -15,7 +15,7 @@ The following installation methods are available when your environment meets the
**Notice**: The pre-built image only supports SM80/90 GPU(e.g. H800/A800)，if you are deploying on SM86/89GPU(L40/4090/L20), please reinstall ```fastdeploy-gpu``` after you create the container.
```shell
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.2.1
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.0-rc0
```
## 2. Pre-built Pip Installation
@@ -23,7 +23,7 @@ docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12
First install paddlepaddle-gpu. For detailed instructions, refer to [PaddlePaddle Installation](https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/develop/install/pip/linux-pip_en.html)
```shell
# Install stable release
python -m pip install paddlepaddle-gpu==3.2.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
python -m pip install paddlepaddle-gpu==3.2.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
# Install latest Nightly build
python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/
@@ -34,7 +34,7 @@ Then install fastdeploy. **Do not install from PyPI**. Use the following methods
For SM80/90 architecture GPUs(e.g A30/A100/H100/):
```
# Install stable release
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
python -m pip install fastdeploy-gpu==2.3.0-rc0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# Install latest Nightly build
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
@@ -43,7 +43,7 @@ python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages
For SM86/89 architecture GPUs(e.g A10/4090/L20/L40):
```
# Install stable release
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
python -m pip install fastdeploy-gpu==2.3.0-rc0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# Install latest Nightly build
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
@@ -64,7 +64,7 @@ docker build -f dockerfiles/Dockerfile.gpu -t fastdeploy:gpu .
First install paddlepaddle-gpu. For detailed instructions, refer to [PaddlePaddle Installation](https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/develop/install/pip/linux-pip_en.html)
```shell
python -m pip install paddlepaddle-gpu==3.2.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
python -m pip install paddlepaddle-gpu==3.2.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
```
Then clone the source code and build: