Change invocation

Dockerfile

@@ -558,7 +558,7 @@ RUN KASMVNC_VERSION="$(curl -fsSL "https://api.github.com/repos/kasmtech/KasmVNC
 ENV PATH="${PATH:+${PATH}:}/usr/lib/rustdesk"
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+${LD_LIBRARY_PATH}:}/usr/lib/rustdesk/lib"
 
-# Add custom packages right below this comment, or use FROM in a new container and replace entrypoint.sh or supervisord.conf, and set ENTRYPOINT to /usr/bin/supervisord
+# Add custom packages right below this comment, or use FROM in a new container and replace entrypoint.sh or supervisord.conf, and set CMD to /usr/bin/supervisord
 
 # Copy scripts and configurations used to start the container with `--chown=1000:1000`
 COPY --chown=1000:1000 entrypoint.sh /etc/entrypoint.sh
@@ -617,4 +617,4 @@ WORKDIR /home/ubuntu
 
 EXPOSE 8080
 
-ENTRYPOINT ["/usr/bin/supervisord"]
+CMD ["/usr/bin/supervisord"]

README.md

@@ -2,7 +2,7 @@
 
 KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform. Spawns its own fully isolated X.Org X11 Server instead of using the host X Server, not requiring `/tmp/.X11-unix` host sockets or host configuration.
 
-Use [docker-nvidia-egl-desktop](https://github.com/selkies-project/docker-nvidia-egl-desktop) for a KDE Plasma Desktop container which directly accesses NVIDIA (and unofficially Intel and AMD) GPUs without using an X.Org X11 Server, supports sharing one GPU with many containers, and automatically falling back to software acceleration in the absence of GPUs (but with lower graphics performance).
+Use [docker-nvidia-egl-desktop](https://github.com/selkies-project/docker-nvidia-egl-desktop) for a KDE Plasma Desktop container which directly accesses NVIDIA (and unofficially Intel and AMD) GPUs without using an X.Org X11 Server, supports sharing one GPU with many containers, supports [Apptainer](https://github.com/apptainer/apptainer)/[Singularity](https://github.com/sylabs/singularity), and automatically falling back to software acceleration in the absence of GPUs (but with lower graphics performance).
 
 [![Build](https://github.com/selkies-project/docker-nvidia-glx-desktop/actions/workflows/container-publish.yml/badge.svg)](https://github.com/selkies-project/docker-nvidia-glx-desktop/actions/workflows/container-publish.yml)