[None][infra] Updated Linux installation guide

docs/source/installation/linux.md

@@ -9,8 +9,10 @@
    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.
+   `cuda-compat-13-0` package may be required depending on your system's NVIDIA GPU
+   driver version. For additional information, refer to [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.

jenkins/L0_Test.groovy

@@ -2359,6 +2359,7 @@ def launchTestJobs(pipeline, testFilter)
                             trtllm_utils.llmExecStepWithRetry(pipeline, script: "wget https://developer.download.nvidia.com/compute/cuda/repos/${ubuntu_version}/${platform}/cuda-keyring_1.1-1_all.deb")
                             trtllm_utils.llmExecStepWithRetry(pipeline, script: "dpkg -i cuda-keyring_1.1-1_all.deb")
                             trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y cuda-toolkit-13-0")
+                            trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get install -y cuda-compat-13-0 && export LD_LIBRARY_PATH=/usr/local/cuda/compat:\$LD_LIBRARY_PATH")
                         }
                         // Extra PyTorch CUDA 13.0 install for all bare-metal environments (Default PyTorch is for CUDA 12.8)
                         if (values[6]) {