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yiqingy0 merged 7 commits into from
Nov 29, 2025
Merged

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

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ac9b676
Install cuda-compat-13-0 for bare-metal ubuntu 2204 and 2404
yiqingy0 Nov 26, 2025
1c0072f
Merge branch 'release/1.1' into fix_installing
yiqingy0 Nov 27, 2025
1fb41e4
fix
yiqingy0 Nov 27, 2025
79ec68e
Update docs/source/installation/linux.md
yiqingy0 Nov 28, 2025
c7dca10
fix LD_LIBRARY_PATH
yiqingy0 Nov 28, 2025
fc43fe8
review fix
yiqingy0 Nov 28, 2025
90dac63
remove cuda compat
yiqingy0 Nov 29, 2025
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7 changes: 5 additions & 2 deletions docs/source/installation/linux.md
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Expand Up @@ -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.
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