vllm - 💡(How to fix) Fix [Installation]: GH200 nodes [5 comments, 2 participants]

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vllm-project/vllm#41373Fetched 2026-05-01 05:33:54
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Code Example

uv pip install vllm
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Your current environment

Hi all,

I am attempting to install vllm on the Jupiter supercomputing system: https://www.fz-juelich.de/en

The system consists of 4xGH200 nodes and only supports CUDA 13.1 for loading modules. Compute nodes do not have access to the internet.

Vllm fails to install in the created environment. I am not sure whether the ARM systems with CUDA 13.1 are currently supported.

Is it required to build vllm from source?

Any help would be greatly appreciated.

Thank you,

Enrico

How you are installing vllm

uv pip install vllm

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extent analysis

TL;DR

Building vllm from source may be required due to potential compatibility issues with ARM systems and CUDA 13.1.

Guidance

  • Verify the compatibility of vllm with ARM systems and CUDA 13.1 by checking the official documentation or release notes.
  • Check if there are any specific installation instructions for ARM systems or CUDA 13.1 in the vllm documentation.
  • Consider building vllm from source to ensure compatibility with the Jupiter supercomputing system's environment.
  • If building from source, ensure that all dependencies are available and compatible with the system's configuration.

Notes

The issue lacks information about the specific error messages or logs from the installation attempt, which could provide more insight into the problem.

Recommendation

Apply workaround: Build vllm from source, as this may allow for more control over the installation process and compatibility with the specific system environment.

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vllm - 💡(How to fix) Fix [Installation]: GH200 nodes [5 comments, 2 participants]