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KDE Plasma Desktop container designed for Kubernetes with direct access to the GPU with EGL using VirtualGL and Vulkan with WebRTC and HTML5, providing an open-source remote cloud graphics or game streaming platform. Does not require /tmp/.X11-unix host sockets or host configuration.

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docker-nvidia-egl-desktop

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. Directly accesses the GPU without an X.Org X11 Server using EGL with VirtualGL and Vulkan, not requiring /tmp/.X11-unix host sockets or host configuration.

Use docker-nvidia-glx-desktop for a KDE Plasma Desktop container with better performance, having fully optimized OpenGL and Vulkan for NVIDIA GPUs by spawning its own fully isolated X.Org X11 Server instead of using /tmp/.X11-unix host sockets.

Build

Discord

Please read Troubleshooting first, then use Discord or GitHub Discussions for support questions. Please only use Issues for technical inquiries or bug reports.

Usage

This container is composed fully of vendor-neutral applications and protocols except the NVIDIA userspace driver components, indicating that there is nothing stopping you from using this container with GPUs of other vendors including AMD and Intel. Use the container toolkit/runtime or Kubernetes device plugin of each respective vendor and make sure that it provisions /dev/dri/card[n] devices, then set the environment variable SELKIES_ENCODER to values including vah264enc, x264enc, vp8enc, or vp9enc if using the Selkies-GStreamer WebRTC interface. However, this is not officially supported and you must solve your own problems. This container also supports running without any GPUs with software fallback (set the environment variable SELKIES_ENCODER to values including x264enc, vp8enc, or vp9enc if using the Selkies-GStreamer WebRTC interface).

Container startup may take some time at first launch as it could automatically install NVIDIA driver libraries compatible with the host.

For Windows applications or games, Wine, Winetricks, Lutris, Heroic Launcher, PlayOnLinux, and q4wine are bundled by default. Comment out the section where it is installed within Dockerfile if the user wants containers without Wine.

The container requires host NVIDIA GPU driver versions of at least 450.80.02 and preferably 470.42.01 (the latest minor version in each major version), with the NVIDIA Container Toolkit to be also configured on the host for allocating GPUs. All Maxwell or later generation GPUs in the consumer, professional, or datacenter lineups should not have significant issues running this container, although the Selkies-GStreamer high-performance NVENC backend may not be available. Kepler GPUs are untested and likely does not support the NVENC backend, but can be mostly functional using fallback software acceleration.

The high-performance NVENC backend for the Selkies-GStreamer WebRTC interface is only supported in GPUs listed as supporting H.264 (AVCHD) under the NVENC - Encoding section of NVIDIA's Video Encode and Decode GPU Support Matrix. If your GPU is not listed as supporting H.264 (AVCHD), add the environment variable SELKIES_ENCODER to values including x264enc, vp8enc, or vp9enc in your container configuration for falling back to software acceleration, which also has a very good performance depending on your CPU.

The default username is ubuntu for both the web authentication prompt and the container Linux username. The environment variable PASSWD (defaulting to mypasswd) is the password for the container Linux user account, and SELKIES_BASIC_AUTH_PASSWORD is the password for the HTML5 interface authentication prompt. If SELKIES_ENABLE_BASIC_AUTH is set to true for Selkies-GStreamer but SELKIES_BASIC_AUTH_PASSWORD is unspecified, the HTML5 interface password will default to PASSWD.

NOTES: Only one web browser can be connected at a time with the selkies-gstreamer WebRTC interface. If the signaling connection works, but the WebRTC connection fails, read the WebRTC and Firewall Issues section.

There are two web interfaces that may be chosen in this container, the first being the default Selkies-GStreamer WebRTC HTML5 web interface (requires a TURN server or host networking for best performance), and the second being the fallback KasmVNC WebSocket HTML5 web interface. While the KasmVNC interface does not support audio forwarding, it can be useful for troubleshooting the Selkies-GStreamer WebRTC interface or using this container in constrained environments.

The KasmVNC interface can be enabled in place of Selkies-GStreamer by setting KASMVNC_ENABLE to true. When using the KasmVNC interface, environment variables SELKIES_ENABLE_BASIC_AUTH, SELKIES_BASIC_AUTH_USER, SELKIES_BASIC_AUTH_PASSWORD, SELKIES_ENABLE_RESIZE, SELKIES_ENABLE_HTTPS, SELKIES_HTTPS_CERT, and SELKIES_HTTPS_KEY, used with Selkies-GStreamer, are also inherited. As with the Selkies-GStreamer WebRTC interface, the KasmVNC interface username and password will also be set to the environment variables SELKIES_BASIC_AUTH_USER and SELKIES_BASIC_AUTH_PASSWORD, also using ubuntu and the environment variable PASSWD by default if not set.

Running with Docker

  1. Run the container with Docker, Podman, or other NVIDIA-supported container runtimes:
docker run --pull=always --name selkies-egl -it -d --gpus 1 --tmpfs /dev/shm:rw -e TZ=UTC -e DISPLAY_SIZEW=1920 -e DISPLAY_SIZEH=1080 -e DISPLAY_REFRESH=60 -e DISPLAY_DPI=96 -e DISPLAY_CDEPTH=24 -e PASSWD=mypasswd -e SELKIES_ENCODER=nvh264enc -e SELKIES_BASIC_AUTH_PASSWORD=mypasswd -p 8080:8080 ghcr.io/selkies-project/nvidia-egl-desktop:latest

NOTES: The container tags available are latest and 22.04 for Ubuntu 22.04, and 20.04 for Ubuntu 20.04. Persistent container tags are available in the form 22.04-20210101010101. Replace all instances of mypasswd with your desired password. SELKIES_BASIC_AUTH_PASSWORD will default to PASSWD if unspecified. The container must not be run in privileged mode.

The environment variable VGL_DISPLAY can also be passed to the container, but only do so after you understand what it implicates with VirtualGL, valid values being either egl[n], or /dev/dri/card[n] only when --device=/dev/dri was used for the container.

Change SELKIES_ENCODER to x264enc, vp8enc, or vp9enc when using the selkies-gstreamer interface if you are using software fallback without allocated GPUs or your GPU does not support H.264 (AVCHD) under the NVENC - Encoding section in NVIDIA's Video Encode and Decode GPU Support Matrix.

  1. Connect to the web server with a browser on port 8080. You may also separately configure a reverse proxy to this port for external connectivity.

NOTES: Additional configurations and environment variables for the Selkies-GStreamer WebRTC HTML5 interface are listed in lines that start with parser.add_argument within the selkies-gstreamer main script.

  1. (Not Applicable for KasmVNC) Read carefully if the Selkies-GStreamer WebRTC HTML5 interface does not connect. Choose whether to use host networking or a TURN server. The Selkies-GStreamer WebRTC HTML5 interface will likely just start working if you add --network host to the above docker run command. However, this may be restricted or be undesired because of security reasons. If so, check if the container starts working after omitting --network host. If it does not work, you need a TURN server. Read the Using a TURN Server section and add the environment variables -e SELKIES_TURN_HOST=, -e SELKIES_TURN_PORT=, and pick one of -e SELKIES_TURN_SHARED_SECRET= or both -e SELKIES_TURN_USERNAME= and -e SELKIES_TURN_PASSWORD= environment variables to the docker run command based on your authentication method.

Running with Kubernetes

  1. Create the Kubernetes Secret with your authentication password:
kubectl create secret generic my-pass --from-literal=my-pass=YOUR_PASSWORD

NOTES: Replace YOUR_PASSWORD with your desired password, and change the name my-pass to your preferred name of the Kubernetes secret with the egl.yml file changed accordingly as well. It is possible to skip the first step and directly provide the password with value: in egl.yml, but this exposes the password in plain text.

  1. Create the pod after editing the egl.yml file to your needs, explanations are available in the file:
kubectl create -f egl.yml

NOTES: The container tags available are latest and 22.04 for Ubuntu 22.04, and 20.04 for Ubuntu 20.04. Persistent container tags are available in the form 22.04-20210101010101. SELKIES_BASIC_AUTH_PASSWORD will default to PASSWD if unspecified.

Change SELKIES_ENCODER to x264enc, vp8enc, or vp9enc when using the selkies-gstreamer interface if you are using software fallback without allocated GPUs or your GPU does not support H.264 (AVCHD) under the NVENC - Encoding section in NVIDIA's Video Encode and Decode GPU Support Matrix.

  1. Connect to the web server spawned at port 8080. You may configure the ingress endpoint or reverse proxy that your Kubernetes cluster provides to this port for external connectivity.

NOTES: Additional configurations and environment variables for the Selkies-GStreamer WebRTC HTML5 interface are listed in lines that start with parser.add_argument within the selkies-gstreamer main script.

  1. (Not Applicable for KasmVNC) Read carefully if the Selkies-GStreamer WebRTC HTML5 interface does not connect. Choose whether to use host networking or a TURN server. The Selkies-GStreamer WebRTC HTML5 interface will likely just start working if you uncomment hostNetwork: true in egl.yml. However, this may be restricted or be undesired because of security reasons. If so, check if the container starts working after commenting out hostNetwork: true. If it does not work, you need a TURN server. Read the Using a TURN Server section and fill in the environment variables SELKIES_TURN_HOST and SELKIES_TURN_PORT, then pick one of SELKIES_TURN_SHARED_SECRET or both SELKIES_TURN_USERNAME and SELKIES_TURN_PASSWORD environment variables based on your authentication method.

Using a TURN server

Note that this section is only required for the Selkies-GStreamer WebRTC HTML5 interface. For an easy fix to when the signaling connection works, but the WebRTC connection fails, add the option --network host to your Docker command, or uncomment hostNetwork: true in your egl.yml file when using Kubernetes (note that your cluster may have not allowed this, resulting in an error). This exposes your container to the host network, which disables network isolation. If this does not fix the connection issue (normally when the host is behind another firewall) or you cannot use this fix for security or technical reasons, read the below text.

In most cases when either of your server or client has a permissive firewall, the default Google STUN server configuration will work without additional configuration. However, when connecting from networks that cannot be traversed with STUN, a TURN server is required.

Deploying a TURN server

Read the instructions from selkies-gstreamer if want to deploy a TURN server or use a public TURN server instance.

Configuring with Docker

With Docker (or Podman), use the -e option to add the SELKIES_TURN_HOST, SELKIES_TURN_PORT environment variables. This is the hostname or IP and the port of the TURN server (3478 in most cases).

You may set SELKIES_TURN_PROTOCOL to tcp if you are only able to open TCP ports for the coTURN container to the internet, or if the UDP protocol is blocked or throttled in your client network. You may also set SELKIES_TURN_TLS to true with the -e option if TURN over TLS/DTLS was properly configured.

You also require to provide either just SELKIES_TURN_SHARED_SECRET for time-limited shared secret TURN authentication, or both SELKIES_TURN_USERNAME and SELKIES_TURN_PASSWORD for legacy long-term TURN authentication, depending on your TURN server configuration. Provide just one of these authentication methods, not both.

Configuring with Kubernetes

Your TURN server will use only one out of two ways to authenticate the client, so only provide one type of authentication method. The time-limited shared secret TURN authentication requires to only provide the Base64 encoded SELKIES_TURN_SHARED_SECRET. The legacy long-term TURN authentication requires to provide both SELKIES_TURN_USERNAME and SELKIES_TURN_PASSWORD credentials.

Time-limited shared secret authentication

  1. Create a secret containing the TURN shared secret:
kubectl create secret generic turn-shared-secret --from-literal=turn-shared-secret=MY_SELKIES_TURN_SHARED_SECRET

NOTES: Replace MY_SELKIES_TURN_SHARED_SECRET with the shared secret of the TURN server, then changing the name turn-shared-secret to your preferred name of the Kubernetes secret, with the egl.yml file also being changed accordingly.

  1. Uncomment the lines in the egl.yml file related to TURN server usage, updating the SELKIES_TURN_HOST and SELKIES_TURN_PORT environment variable as needed:
- name: SELKIES_TURN_HOST
  value: "turn.example.com"
- name: SELKIES_TURN_PORT
  value: "3478"
- name: SELKIES_TURN_SHARED_SECRET
  valueFrom:
    secretKeyRef:
      name: turn-shared-secret
      key: turn-shared-secret
- name: SELKIES_TURN_PROTOCOL
  value: "udp"
- name: SELKIES_TURN_TLS
  value: "false"

NOTES: It is possible to skip the first step and directly provide the shared secret with value:, but this exposes the shared secret in plain text. Set SELKIES_TURN_PROTOCOL to tcp if you were able to only open TCP ports while creating your own coTURN Deployment/DaemonSet, or if your client network throttles or blocks the UDP protocol.

Legacy long-term authentication

  1. Create a secret containing the TURN password:
kubectl create secret generic turn-password --from-literal=turn-password=MY_SELKIES_TURN_PASSWORD

NOTES: Replace MY_SELKIES_TURN_PASSWORD with the password of the TURN server, then changing the name turn-password to your preferred name of the Kubernetes secret, with the egl.yml file also being changed accordingly.

  1. Uncomment the lines in the egl.yml file related to TURN server usage, updating the SELKIES_TURN_HOST, SELKIES_TURN_PORT, and SELKIES_TURN_USERNAME environment variable as needed:
- name: SELKIES_TURN_HOST
  value: "turn.example.com"
- name: SELKIES_TURN_PORT
  value: "3478"
- name: SELKIES_TURN_USERNAME
  value: "username"
- name: SELKIES_TURN_PASSWORD
  valueFrom:
    secretKeyRef:
      name: turn-password
      key: turn-password
- name: SELKIES_TURN_PROTOCOL
  value: "udp"
- name: SELKIES_TURN_TLS
  value: "false"

NOTES: It is possible to skip the first step and directly provide the TURN password with value:, but this exposes the TURN password in plain text. Set SELKIES_TURN_PROTOCOL to tcp if you were able to only open TCP ports while creating your own coTURN Deployment/DaemonSet, or if your client network throttles or blocks the UDP protocol.

Troubleshooting

I have an issue related to the WebRTC HTML5 interface.

Link

I want to use the keyboard layout of my own language.

Run Input Method: Configure Input Method from the start menu, uncheck Only Show Current Language, search and add from available input methods (Hangul, Mozc, Pinyin, and others) by moving to the right, then use Ctrl + Space to switch between the input methods. Raise an issue if you need more layouts.

The container does not work.

Check that the NVIDIA Container Toolkit is properly configured in the host. Next, check whether your host NVIDIA GPU driver is the nvidia-headless variant, which lacks the required display and graphics capabilities for this container.

After that, check the environment variable NVIDIA_DRIVER_CAPABILITIES after starting a shell interface inside the container. NVIDIA_DRIVER_CAPABILITIES should be set to all, or include a comma-separated list of compute (requirement for CUDA and OpenCL, or for the selkies-gstreamer WebRTC remote desktop interface), utility (requirement for nvidia-smi and NVML), graphics (requirement for OpenGL and part of the requirement for Vulkan), video (required for encoding or decoding videos using NVIDIA GPUs, or for the selkies-gstreamer WebRTC remote desktop interface), display (the other requirement for Vulkan), and optionally compat32 if you use Wine or 32-bit graphics applications.

Moreover, if you are using custom configurations, check if your shared memory path /dev/shm has sufficient capacity, where expanding the capacity is done by adding --tmpfs /dev/shm:rw to your Docker command or adding the below lines to your Kubernetes configuration file.

spec:
  template:
    spec:
      containers:
        volumeMounts:
        - mountPath: /dev/shm
          name: dshm
      volumes:
      - name: dshm
        emptyDir:
          medium: Memory

If you checked everything here, scroll down.

I want to use systemd, polkit, FUSE mounts, or sandboxed (containerized) application distribution systems like Flatpak, Snapcraft (snap), AppImage, and etc.

Use the option --appimage-extract-and-run or --appimage-extract with your AppImage to run them in a container. Alternatively, set export APPIMAGE_EXTRACT_AND_RUN=1 to your current shell. For controlling PulseAudio, use pactl instead of pacmd as the latter corrupts the audio system within the container. Use sudoedit to edit protected files in the desktop instead of using sudo followed by the name of the editor.

Open Long Answer

For systemd, polkit, FUSE mounts, or sandboxed application distribution systems, do not use them with containers. You can use them if you add unsafe capabilities to your containers, but it will break the isolation of the containers. This is especially bad if you are using Kubernetes. For controlling PulseAudio, use pactl instead of pacmd as the latter corrupts the audio system within the container. Because polkit does not work, use sudoedit to edit protected files with the GUI instead of using sudo followed by the name of the editor. There will likely be an alternative way to install the applications, including Personal Package Archives. For some applications, there will be options to disable sandboxing when running or options to extract files before running.

OpenGL does not work for certain applications.

This is likely an issue with VirtualGL, which is used to translate GLX commands to EGL commands and use OpenGL without Xorg. Some applications, including research workloads, show this problem. This cannot be solved by raising an issue here or contacting me.

First, check that the application works with docker-nvidia-glx-desktop in the same host environment. If it works, it is indeed a problem associated with VirtualGL. If it does not, raise an issue here. Second, use the error messages found with verbose mode and search similar issues for your application. Third, if there are no similar issues, raise the issue to the repository or contact the maintainers. Fourth, if the maintainers request that it should be redirected to VirtualGL, raise an issue there after confirming VirtualGL does not have similar issues raised. Note that in this case, you may have to wait for a new VirtualGL release and for this repository to use the new release.

Vulkan does not work.

Make sure that the NVIDIA_DRIVER_CAPABILITIES environment variable is set to all, or includes both graphics and display. The display capability is especially crucial to Vulkan, but the container does start without noticeable issues other than Vulkan without display, despite its name. AMD and Intel GPUs are not tested and therefore Vulkan is not guaranteed to work. A Vulkan ICD file is probably required to be added and related drivers like mesa-vulkan-drivers should be installed inside the container. People are welcome to share their experiences, however.

I want to use a specific GPU for OpenGL rendering when I have multiple GPUs in one container.

Use the VGL_DISPLAY environment variable, but only do so after you understand what it implicates with VirtualGL. Valid values are either egl[n], or /dev/dri/card[n] only when --device=/dev/dri was used for the container ([n] is the order of the GPUs, where simply egl without the number is the same as egl0). Note that docker --gpus 1 means any single GPU, not the GPU device ID of 1. Use docker --gpus '"device=1,2"' to provision GPUs with device IDs 1 and 2 to the container.


This work was supported in part by National Science Foundation (NSF) awards CNS-1730158, ACI-1540112, ACI-1541349, OAC-1826967, OAC-2112167, CNS-2100237, CNS-2120019, the University of California Office of the President, and the University of California San Diego's California Institute for Telecommunications and Information Technology/Qualcomm Institute. Thanks to CENIC for the 100Gbps networks.