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Cannot import CUDAQ on an HPC #3104

@talentkeychen

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@talentkeychen

Hi, maybe this question is more appropriate to ask our HPC admin but since he/she has not yet replied to me for some time, I'll have to ask here:

I’m very new to CUDA-Q. I tried to install CUDA-Q on our school’s HPC. Everything looks fine without any error or warning, but when I try to validate my installation, I cannot even import CUDA-Q and I got a “Segmentation Fault (core dumped)”. Below is what I do. The GPU is H100.

qsub -I -l select=1:mem=5GB:ncpus=1:ngpus=1 -q -P
module load cuda/12.2
module load miniforge/24.3
conda create -n cudaq python=3.10 -y
conda activate cudaq
pip install cudaq

Below is the information for nvcc:

nvcc: NVIDIA (R) Cuda compiler driver

Copyright (c) 2005-2023 NVIDIA Corporation

Built on Tue_Aug_15_22:02:13_PDT_2023

Cuda compilation tools, release 12.2, V12.2.140

Build cuda_12.2.r12.2/compiler.33191640_0

and here is the information for nvidia-smi:

Tue Jun 24 20:13:58 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.144.03             Driver Version: 550.144.03     CUDA Version: 12.4     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA H100 80GB HBM3          On  |   00000000:9D:00.0 Off |                    0 |
| N/A   29C    P0             70W /  700W |       1MiB /  81559MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

and this is what I have from python:

Python 3.10.18 | packaged by conda-forge | (main, Jun  4 2025, 14:45:41) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import cudaq
Segmentation fault (core dumped)

Any idea on what happend? Thank you!

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