The LinuxServer.io team brings you another container release featuring:
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Folding@home is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.
We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.
Simply pulling lscr.io/linuxserver/foldingathome:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
The architectures supported by this image are:
| Architecture | Available | Tag |
|---|---|---|
| x86-64 | ✅ | amd64-<version tag> |
| arm64 | ✅ | arm64v8-<version tag> |
| armhf | ❌ |
This image sets up the Folding@home client. The interface is available at http://your-ip:7396.
The built-in webserver provides very basic control (ie. GPUs are only active when set to Medium or higher). For more fine grained control of individual devices, you can use the FAHControl app on a different device and connect remotely via port 36330 (no password).
There are a couple of minor issues with the webgui:
shft-F5 or ctrl-F5.Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
https://github.com/NVIDIA/nvidia-docker
We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime --runtime=nvidia and add an environment variable -e NVIDIA_VISIBLE_DEVICES=all (can also be set to a specific gpu's UUID, this can be discovered by running nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv ). NVIDIA automatically mounts the GPU and drivers from your host into the foldingathome docker container.
Here are some example snippets to help you get started creating a container.
---
version: "2.1"
services:
foldingathome:
image: lscr.io/linuxserver/foldingathome:latest
container_name: foldingathome
environment:
- PUID=1000
- PGID=1000
- TZ=Europe/London
volumes:
- /path/to/data:/config
ports:
- 7396:7396
- 36330:36330 #optional
restart: unless-stopped
docker run -d \
--name=foldingathome \
-e PUID=1000 \
-e PGID=1000 \
-e TZ=Europe/London \
-p 7396:7396 \
-p 36330:36330 `#optional` \
-v /path/to/data:/config \
--restart unless-stopped \
lscr.io/linuxserver/foldingathome:latest
Container images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate <external>:<internal> respectively. For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container.
| Parameter | Function |
|---|---|
-p 7396 | Folding@home web gui. |
-p 36330 | Optional port for connecting remotely via FAHControl app (no password). |
-e PUID=1000 | for UserID - see below for explanation |
-e PGID=1000 | for GroupID - see below for explanation |
-e TZ=Europe/London | Specify a timezone to use EG Europe/London. |
-v /config | Where Folding@home should store its database and config. |
You can set any environment variable from a file by using a special prepend FILE__.
As an example:
-e FILE__PASSWORD=/run/secrets/mysecretpassword
Will set the environment variable PASSWORD based on the contents of the /run/secrets/mysecretpassword file.
For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional -e UMASK=022 setting.
Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up here before asking for support.
When using volumes (-v flags) permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user PUID and group PGID.
Ensure any volume directories on the host are owned by the same user you specify and any permissions issues will vanish like magic.
In this instance PUID=1000 and PGID=1000, to find yours use id user as below:
$ id username
uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)
We publish various Docker Mods to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.
docker exec -it foldingathome /bin/bashdocker logs -f foldingathomedocker inspect -f '{{ index .Config.Labels "build_version" }}' foldingathomedocker inspect -f '{{ index .Config.Labels "build_version" }}' lscr.io/linuxserver/foldingathome:latestMost of our images are static, versioned, and require an image update and container recreation to update the app inside. With some exceptions (ie. nextcloud, plex), we do not recommend or support updating apps inside the container. Please consult the Application Setup section above to see if it is recommended for the image.
Below are the instructions for updating containers:
docker-compose pull
docker-compose pull foldingathomedocker-compose up -d
docker-compose up -d foldingathomedocker image prunedocker pull lscr.io/linuxserver/foldingathome:latestdocker stop foldingathomedocker rm foldingathome/config folder and settings will be preserved)docker image prunePull the latest image at its tag and replace it with the same env variables in one run:
docker run --rm \
-v /var/run/docker.sock:/var/run/docker.sock \
containrrr/watchtower \
--run-once foldingathome
You can also remove the old dangling images: docker image prune
Note: We do not endorse the use of Watchtower as a solution to automated updates of existing Docker containers. In fact we generally discourage automated updates. However, this is a useful tool for one-time manual updates of containers where you have forgotten the original parameters. In the long term, we highly recommend using Docker Compose.
If you want to make local modifications to these images for development purposes or just to customize the logic:
git clone https://github.com/linuxserver/docker-foldingathome.git
cd docker-foldingathome
docker build \
--no-cache \
--pull \
-t lscr.io/linuxserver/foldingathome:latest .
The ARM variants can be built on x86_64 hardware using multiarch/qemu-user-static
docker run --rm --privileged multiarch/qemu-user-static:register --reset
Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.
Content type
Image
Digest
sha256:98b34ad3a…
Size
139.2 MB
Last updated
2 months ago
docker pull lsiodev/foldingathome