kanshan/TensorRT-LLMs
1
0
Fork 0
mirror of https://github.com/NVIDIA/TensorRT-LLM.git synced 2026-01-13 22:18:36 +08:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

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

Browse Source 
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>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
This commit is contained in:
Yiqing Yan 2025-11-29 22:55:47 +08:00 committed by Mike Iovine
parent b46e78e263
commit 6ebdf1c304
1 changed files with 5 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
docs/source/installation/linux.md
View File

@ -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.