[None][infra] Updated Linux installation guide (NVIDIA#9485)

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>

Author: 2 people

docs/source/installation/linux.md

@@ -9,8 +9,11 @@
    Before the pre-built Python wheel can be installed via `pip`, a few
    prerequisites must be put into place:
 
-   Install CUDA Toolkit following the [CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/) and
-   make sure `CUDA_HOME` environment variable is properly set.
+   Install CUDA Toolkit 13.0 following the [CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/)
+   and make sure `CUDA_HOME` environment variable is properly set.
+
+   The `cuda-compat-13-0` package may be required depending on your system's NVIDIA GPU
+   driver version. For additional information, refer to the [CUDA Forward Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/forward-compatibility.html).
 
    ```bash
    # By default, PyTorch CUDA 12.8 package is installed. Install PyTorch CUDA 13.0 package to align with the CUDA version used for building TensorRT LLM wheels.