khushwant@OMEN-Transcend:~/omniverse$ docker run -it --rm --gpus all --network=host --name anim-graph-ms -v $(pwd)/default-avatar-scene_v1.0.0:/home/ace/asset nvcr.io/nvidia/ace/ia-animation-graph-microservice:1.0.2
Fatal Error: Can’t find libGLX_nvidia.so.0…
Ensure running with NVIDIA runtime. (–gpus all) or (–runtime nvidia)
why no reply on this?
Apologies for the delayed response.
We’re unable to reproduce this error on our end at the moment. Please can you check a couple things for us?
Let us know if the issue still persists or if this resolves it?
Best,
Sophie
I am also having the same issue when trying to run the following command using WSL:
docker run -it --rm --gpus all --network=host --name anim-graph -v ./default-avatar-scene_1.1.4:/home/interactive-avatar/asset nvcr.io/nvidia/ace/ia-animation-graph-microservice:1.1.0
Output:
+ ldconfig -p
+ grep libGLX_nvidia.so.0
+ NOTFOUND=1
+ [[ -v NOTFOUND ]]
+ cat
Fatal Error: Can't find libGLX_nvidia.so.0...
Ensure running with NVIDIA runtime. (--gpus all) or (--runtime nvidia)
+ exit 1
The container runtime is correctly installed:
sudo dpkg -l | grep nvidia-container-toolkit
ii nvidia-container-toolkit 1.17.6-1 amd64 NVIDIA Container toolkit
ii nvidia-container-toolkit-base 1.17.6-1 amd64 NVIDIA Container Toolkit Base
docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
Mon May 12 16:09:10 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 575.51.02 Driver Version: 576.02 CUDA Version: 12.9 |
|-----------------------------------------+------------------------+----------------------+
| 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 GeForce RTX 4090 On | 00000000:01:00.0 On | Off |
| 32% 46C P3 79W / 450W | 8401MiB / 24564MiB | 40% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
nvidia-ctk --version
NVIDIA Container Toolkit CLI version 1.17.6
commit: e627eb2e21e167988e04c0579a1c941c1e263ff6
However, despite correctly installing the container runtime, the libGLX_nvidia file seems to be missing in WSL since the following command returns an empty result:
ldconfig -p | grep libGLX_nvidia
@michael.dietz did you try and get this workflow running on WSL2 ?
yes, the problem from my initial message occured using WSL2. My workaround to getting it running at all was to replace the /startup_docker.sh file with a modified one where the following lines are commented out:
# Check for libGLX_nvidia.so.0 (needed for vulkan)
#ldconfig -p | grep libGLX_nvidia.so.0 || NOTFOUND=1
#if [[ -v NOTFOUND ]]; then
# cat << EOF > /dev/stderr
#
#Fatal Error: Can't find libGLX_nvidia.so.0...
#
#Ensure running with NVIDIA runtime. (--gpus all) or (--runtime nvidia)
#
#EOF
# exit 1
#fi
# Detect NVIDIA vulkan api version, and create ICD
#export VK_ICD_FILENAMES=/tmp/nvidia_icd.json
#export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}:"/opt/nvidia/omniverse/kit-sdk-launcher/plugins/carb_gfx"
# Create nvidia_icd.json
#/opt/nvidia/omniverse/vkapiversion/bin/vkapiversion "${VK_ICD_FILENAMES}"
@michael.dietz appreciate, many thanks for quick revert …
the application that i’m trying continually relays as below:-
i’ve posted the observations here in link below
Omniverse +DoMINO Automotive Aero NIM deployment Web Streaming issue - Core Platform / Extensions - NVIDIA Developer Forums
something is non-trivial within the settings..
so CUDA is able to run on WSL2 for your application… which is a good sign!
