Performance tips

Faster alternative to xvfb

Running MineRL on xvfb will slow it down by 2-3x as the rendering is done on CPU, not on the GPU. A potential alternative is to use a combination of VirtualGL and virtual displays from nvidia tools.

Note that this may interfere with your display/driver setup, and may not work on cloud VMs (nvidia-xconfig is not available).

Following commands outline the procedure. You may need to adapt it to suit your needs. After these commands, run export DISPLAY=:0 and you should be ready to run MineRL. The Minecraft window will be rendered in a virtual display.

All credits go to Tencent researchers who kindly shared this piece of information!

sudo apt install lightdm libglu1-mesa mesa-utils xvfb xinit xserver-xorg-video-dummy

sudo nvidia-xconfig -a --allow-empty-initial-configuration --virtual=1920x1200 --busid PCI:0:8:0
cd /tmp
sudo dpkg -i virtualgl_2.6.3_amd64.deb

sudo service lightdm stop
sudo vglserver_config
sudo service lightdm start

Docker images for headless rendering with GPU

The above instructions might not work with a server without root access. You may use this docker file (alternatives can be found here and here instead).

To begin with, build & run this docker on your server.

git clone && cd egl-docker
docker build . -t <docker_name>
docker run --gpus all -it <docker_name>:latest /bin/bash

Inside the container, use the following command to verify if the GPU rendering is working. If you can see something like OpenGL Renderer: NVIDIA GeForce RTX 3090/PCIe/SSE2, congratulations. Otherwise output like OpenGL Renderer: llvmpipe (LLVM 12.0.0, 256 bits) indicates you’re still using CPU. Feel free to post to this repo if you have any issues.

vglrun /opt/VirtualGL/bin/glxspheres64

You’re good to go! Just prepend your commands with vglrun to enable GPU rendering.

Acknowledgements: This docker image is brought to you by Xiaojian Ma and the MineDoJo team, and it is developed upon this project by Seungmin Kim.

Singularity container for headless rendering with GPU

There is also a Singularity container based on the docker image above here. All the information on how to build and run the container are specified inside this github repo, plus some things you will have to take into consideration before being able to use it.

Acknowledgements: This singularity container is brought you by David Sanfelix.