diff --git a/docs/get_started/installation/nvidia_gpu.md b/docs/get_started/installation/nvidia_gpu.md
index 8a9a91f18..4e4bcd63e 100644
--- a/docs/get_started/installation/nvidia_gpu.md
+++ b/docs/get_started/installation/nvidia_gpu.md
@@ -83,7 +83,7 @@ The built packages will be in the ```FastDeploy/dist``` directory.
 ## 5. Precompiled Operator Wheel Packages
 
 FastDeploy provides precompiled GPU operator wheel packages for quick setup without building the entire source code.
-This method currently supports **SM90 architecture (e.g., H20/H100)** and **CUDA 12.6** environments only.
+This method currently supports **SM80/90 architecture (e.g., A100/H100)** and **CUDA 12.6** environments only.
 
 > By default, `build.sh` compiles all custom operators from source.To use the precompiled package, enable it with the `FD_USE_PRECOMPILED` parameter.
 > If the precompiled package cannot be downloaded or does not match the current environment, the system will automatically fall back to `4. Build Wheel from Source`.
@@ -104,7 +104,7 @@ cd FastDeploy
 # Argument 1: Whether to build wheel package (1 for yes)
 # Argument 2: Python interpreter path
 # Argument 3: Whether to compile CPU inference operators (false for GPU only)
-# Argument 4: Target GPU architectures (currently supports [90])
+# Argument 4: Target GPU architectures (currently supports 80/90)
 # Argument 5: Whether to use precompiled operators (1 for enable)
 # Argument 6 (optional): Specific commitID for precompiled operators(The default is the current commit ID.)
 
@@ -121,7 +121,7 @@ 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 + SM90 + CUDA 12.6** only.
+> - Currently supports **GPU, SM80/90, CUDA 12.6** only.
 > - 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/ci_image_update.yml).
 
diff --git a/docs/zh/get_started/installation/nvidia_gpu.md b/docs/zh/get_started/installation/nvidia_gpu.md
index 9cb8d6530..f9c4b8bb0 100644
--- a/docs/zh/get_started/installation/nvidia_gpu.md
+++ b/docs/zh/get_started/installation/nvidia_gpu.md
@@ -90,7 +90,7 @@ bash build.sh 1 python false [80,90]
 
 ## 5. 算子预编译 Wheel 包
 
-FastDeploy 提供了 GPU 算子预编译版 Wheel 包，可在无需完整源码编译的情况下快速构建。该方式当前仅支持 **SM90 架构（H20/H100等）** 和 **CUDA 12.6** 环境。
+FastDeploy 提供了 GPU 算子预编译版 Wheel 包，可在无需完整源码编译的情况下快速构建。该方式当前仅支持 **SM80/90 架构（A100/H100等）** 和 **CUDA 12.6** 环境。
 
 >默认情况下，`build.sh` 会从源码编译；若希望使用预编译包，可使用`FD_USE_PRECOMPILED` 参数；
 >若预编译包下载失败或与环境不匹配，系统会自动回退至 `4. wheel 包源码编译` 模式。
@@ -110,7 +110,7 @@ cd FastDeploy
 # 第1个参数: 是否打包成 wheel (1 表示打包)
 # 第2个参数: Python 解释器路径
 # 第3个参数: 是否编译 CPU 推理算子 (false 表示仅 GPU)
-# 第4个参数: GPU 架构 (当前仅支持 [90])
+# 第4个参数: GPU 架构 (当前仅支持 80/90)
 # 第5个参数: 是否使用预编译算子 (1 表示启用预编译)
 # 第6个参数(可选): 指定预编译算子的 commitID（默认使用当前的 commitID）
 
@@ -127,7 +127,7 @@ bash build.sh 1 python false [90] 1 8a9e7b53af4a98583cab65e4b44e3265a93e56d2
 
 > **说明：**
 > - 该模式会优先下载预编译的 GPU 算子 whl 包，减少编译时间；
-> - 目前仅支持 **GPU + SM90 + CUDA 12.6**；
+> - 目前仅支持 **GPU， SM80/90 架构， CUDA 12.6**；
 > - 若希望自定义架构或修改算子逻辑，请使用 **源码编译方式（第4节）**。
 > - 您可以在 FastDeploy CI 构建状态页面查看对应 commit 的预编译 whl 是否已构建成功。