Run a container(ubuntu 20.04) with GPU accleration, the container use OpenGL renderer: llvmpipe (LLVM 15.0.7, 256 bits) but not NVIDIA GeForce RTX 3060/PCIe/SSE2

[Maipengfei]

I use sudo docker run -it -p 6901:6901 -e NVIDIA_VISIBLE_DEVICES=all -e NVIDIA_DRIVER_CAPABILITIES=all --gpus="all" --name nvidia-test -e VNC_PW=123456 kasm-lrae nvidia-smi to create a container
I hope the container can use my Nvidia GPU to render gazebo which requires OpenGL. But I use the glxinfo -B to check the container, it show the follow response:

It seems that the container hasn't use GPU to render the OpenGL. The expected output may be this(according KasmVNC GPU Acceleration ):

The nvidia-smi both give the expected outcome in host system and container, which may indicate that I have installed Nvidia driver successfully.

Other information:
host system: Ubuntu20.04
The image kasm-lrae base bases from kasmweb/ubuntu-focal-desktop:1.16.0-rolling-daily
The content of daemon.json is as follow:
{
"registry-mirrors": [
"https://reg-mirror.qiniu.com/"
],
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
},
"default-runtime": "nvidia"
}

[codernew007]

Same!! Expect your solution

[hochbit]

I do not have dri interface available... so I use this to get into a console with offloading.

#!/usr/bin/bash

env __NV_PRIME_RENDER_OFFLOAD=1 __GLX_VENDOR_LIBRARY_NAME=nvidia __VK_LAYER_NV_optimus=NVIDIA_only VK_DRIVER_FILES=/usr/share/vulkan/icd.d/nvidia_icd.json LIBVA_DRIVER_NAME=nvidia bash

You can create the json file like this:

cat /usr/share/vulkan/icd.d/virtio_icd.x86_64.json | jq '.ICD.library_path="/usr/lib/x86_64-linux-gnu/libGLX_nvidia.so.0"' > /usr/share/vulkan/icd.d/nvidia_icd.json

VK_ variables and file are only required if you need vulkan

Works for me for openSCAD, blender, minetest ... except for the last one I have some other nasty mouse issues (#310)

[ehfd]

@Maipengfei @codernew007

I suggest combining VirtualGL to make things work.
Check https://github.com/selkies-project/docker-nvidia-egl-desktop/blob/91ba69533d707cf21933cf30097491315d7805cf/Dockerfile#L296 and https://github.com/selkies-project/docker-nvidia-egl-desktop/blob/91ba69533d707cf21933cf30097491315d7805cf/entrypoint.sh#L98.

You may directly use my container implementation, which has an option to use KasmVNC as a flag, if you wish.

[ehfd]

I do not have dri interface available... so I use this to get into a console with offloading.

#!/usr/bin/bash

env __NV_PRIME_RENDER_OFFLOAD=1 __GLX_VENDOR_LIBRARY_NAME=nvidia __VK_LAYER_NV_optimus=NVIDIA_only VK_DRIVER_FILES=/usr/share/vulkan/icd.d/nvidia_icd.json LIBVA_DRIVER_NAME=nvidia bash
You can create the json file like this:

cat /usr/share/vulkan/icd.d/virtio_icd.x86_64.json | jq '.ICD.library_path="/usr/lib/x86_64-linux-gnu/libGLX_nvidia.so.0"' > /usr/share/vulkan/icd.d/nvidia_icd.json
VK_ variables and file are only required if you need vulkan

Works for me for openSCAD, blender, minetest ... except for the last one I have some other nasty mouse issues (#310)

@hochbit Does this with with actual X11 windows, or only with offscreen workloads?

[ehfd]

Relevant: TigerVNC/tigervnc#1773