Can't run gz sim (Possibly after some updates)

[mini-1235]

Environment

• OS Version: 24.04
• Source or binary build?

ros-rolling-ros-gz-bridge/noble,now 3.0.3-1noble.20250730.164501 amd64 [installed,automatic]
ros-rolling-ros-gz-image/noble,now 3.0.3-1noble.20250730.170500 amd64 [installed,automatic]
ros-rolling-ros-gz-interfaces/noble,now 3.0.3-1noble.20250730.143335 amd64 [installed,automatic]
ros-rolling-ros-gz-sim-demos/noble,now 3.0.3-1noble.20250730.181000 amd64 [installed,automatic]
ros-rolling-ros-gz-sim/noble,now 3.0.3-1noble.20250730.163723 amd64 [installed,automatic]
ros-rolling-ros-gz/noble,now 3.0.3-1noble.20250730.181601 amd64 [installed]

• If this is a GUI or sensor rendering bug, describe your GPU and rendering system. Otherwise delete this section.

  • Rendering plugin: [ogre | ogre2].

    • Sensor rendering error.
    • GUI rendering error.

  • EGL headless mode:

    • Running in EGL headless mode

  • Generally, mention all circumstances that might affect rendering capabilities:

    • running on a dual GPU machine (integrated GPU + discrete GPU)
    • running on a multi-GPU machine (it has multiple discrete GPUs)
    • running on real hardware
    • running in virtual machine
    • running in Docker/Singularity
    • running remotely (e.g. via SSH)
    • running in a cloud
    • using VirtualGL, XVFB, Xdummy, XVNC or other indirect rendering utilities
    • GPU is concurrently used for other tasks
      • desktop acceleration
      • video decoding (i.e. a playing Youtube video)
      • video encoding
      • CUDA/ROCm computations (Tensorflow, Torch, Caffe running)
      • multiple simulators running at the same time
    • other...

  • Rendering system info:

    • On Linux, provide the outputs of the following commands:

      LANG=C lspci -nn | grep VGA  # might require installing pciutils
      echo "$DISPLAY"
      LANG=C glxinfo -B | grep -i '\(direct rendering\|opengl\|profile\)'  # might require installing mesa-utils package
      ps aux | grep Xorg
      sudo env LANG=C X -version  # if you don't have root access, try to tell the version of Xorg e.g. via package manager

    • On Windows, run dxdiag and report the GPU-related information.
    • On Mac OS, open a terminal and type system_profiler SPDisplaysDataType. Copy the output here.

    version number:    11.0
    X.Org version: 21.1.11
    

• Please, attach the ogre.log or ogre2.log file from ~/.gz/rendering

MESA: error: ZINK: vkCreateInstance failed (VK_ERROR_INCOMPATIBLE_DRIVER)

Description

• Expected behavior:
  Gazebo working properly

• Actual behavior:
  On my rolling docker container, after I do a sudo apt upgrade, it seems that gazebo cannot render anything, and shows the error above. Before I do the upgrade command (10 Aug), everything is working properly.

I tried to pull the latest rolling images, same thing happens. But I can run gazebo properly outside the container (Jazzy / Harmonic)

Steps to reproduce

1. pull nav2 rolling nightly image

docker pull ghcr.io/ros-navigation/nav2_docker:rolling-nightly

2. run gazebo

gz sim

Output

Stuck in this page

[arjo129]

Any chance you could run it with -v 4 so we have a more complete output.

[mini-1235]

Any chance you could run it with -v 4 so we have a more complete output.

Sure, I pasted it here https://pastebin.com/nk013T0y

[darmsDD]

OS: Ubuntu 24.04.2 LTS

I have the same problem. I can run gazebo fine outside of docker, but inside it gives me an error:
libEGL warning: egl: failed to create dri2 screen
MESA: error: ZINK: vkCreateInstance failed (VK_ERROR_INCOMPATIBLE_DRIVER)

I started gazebo with the command gz sim --verbose 4 and then chose a simulation. I tried a couple of simulations but all of them give the same error.

The complete log can be found at : https://pastebin.com/PiqQEMb7

[arjo129]

Thanks can you tell me what Graphics card/arguments you passed to docker? Are you using any Nvidia GPU/what version of docker are you using? Have you passed in th the gpus to your container via --gpus-all? This error often arises when the graphics drivers are not correctly loaded in a container.

[mini-1235]

Thanks can you tell me what Graphics card/arguments you passed to docker? Are you using any Nvidia GPU/what version of docker are you using? Have you passed in th the gpus to your container via --gpus-all? This error often arises when the graphics drivers are not correctly loaded in a container.

For me, it's

docker run --gpus all -it --ipc=host --net=host --privileged -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix -e NVIDIA_DRIVER_CAPABILITIES=all ghcr.io/ros-navigation/nav2_docker:rolling-nightly

> docker --version
Docker version 27.4.1, build b9d17ea

> nvidia-smi

Fri Aug 15 23:17:31 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.163.01             Driver Version: 550.163.01     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 GeForce RTX 3050 ...    Off |   00000000:01:00.0 Off |                  N/A |
| N/A   41C    P3            749W /   35W |       8MiB /   4096MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A      5592      G   /usr/lib/xorg/Xorg                              4MiB |
+-----------------------------------------------------------------------------------------+

[darmsDD]

Docker version 28.3.3, build 980b856

I am using docker compose to generate my container and the vscode extension to build and run it.

About the GPU, at https://docs.docker.com/compose/how-tos/gpu-support/ it says to add

deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

to you docker compose yaml file. After I did this, I could check my gpu inside the docker using the command
nvidia-smi.

Fri Aug 15 19:17:13 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.163.01             Driver Version: 550.163.01     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 GeForce RTX 3060        Off |   00000000:01:00.0  On |                  N/A |
|  0%   50C    P8             19W /  170W |     786MiB /  12288MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
+-----------------------------------------------------------------------------------------+

To verify if I had access, I opened another terminal (still inside the container) and ran the program glxgears.

sudo apt install -y mesa-utils
glxgears

And then, ran again nvidia-smi.

Fri Aug 15 19:26:15 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.163.01             Driver Version: 550.163.01     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 GeForce RTX 3060        Off |   00000000:01:00.0  On |                  N/A |
|  0%   50C    P5             20W /  170W |     781MiB /  12288MiB |     41%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A     11309      G   glxgears                                       77MiB |
+-----------------------------------------------------------------------------------------+

But the problem with gazebo still persisted.
I am not sure if these are the equivalent of --gpu-all.
If you have any suggestions, I am all ears.
I can post the docker compose file here later.

[arilow]

Hi! I'm having the same problem. Using a Docker container with Ubuntu 24 and Gazebo harmonic