Revise NVIDIA GPU installation instructions

Updated installation instructions for PaddlePaddle and FastDeploy to remove specific CUDA version mentions and clarify support for multiple GPU architectures.

Author: Jiang-Jia-Jun

docs/get_started/installation/nvidia_gpu.md

@@ -26,13 +26,13 @@ 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
-# CUDA 12.6
+# CUDA 
 python -m pip install paddlepaddle-gpu==3.3.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
 # CUDA 12.9
 python -m pip install paddlepaddle-gpu==3.3.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu129/
 
 # Install latest Nightly build
-# CUDA 12.6
+# CUDA 
 python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/
 # CUDA 12.9
 python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu129/
@@ -43,13 +43,13 @@ Then install fastdeploy. **Do not install from PyPI**. Use the following methods
 **Note**: Stable FastDeploy release pairs with stable PaddlePaddle; Nightly Build FastDeploy pairs with Nightly Build PaddlePaddle. The `--extra-index-url` is only used for downloading fastdeploy-gpu's dependencies; fastdeploy-gpu itself must be installed from the Paddle source specified by `-i`.
 ```
 # Install stable release FastDeploy
-# CUDA 12.6
+# CUDA 
 python -m pip install fastdeploy-gpu==2.5.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 # CUDA 12.9
 python -m pip install fastdeploy-gpu==2.5.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu129/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 
 # Install Nightly Build FastDeploy
-# CUDA 12.6
+# CUDA 
 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
 # CUDA 12.9
 python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu129/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
@@ -124,7 +124,7 @@ After the build completes, the operator binaries can be found in `FastDeploy/fas
 > **Notes:**
 >
 > - This mode prioritizes downloading precompiled GPU operator wheels to reduce build time.
-> - Currently supports **GPU, SM80/90, CUDA 12.6, Python3.10** only.
+> - Supports **GPU, SM80/86/89/90.
 > - For custom architectures or modified operator logic, please use **source compilation (Section 4)**.
 > - You can check whether the precompiled wheel for a specific commit has been successfully built on the [FastDeploy CI Build Status Page](https://github.com/PaddlePaddle/FastDeploy/actions/workflows/ce_job.yml).