kopia lustrzana https://github.com/linuxserver/docker-documentation
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@ -52,7 +52,7 @@ Compatible with docker-compose v2 schemas.
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```yaml
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```yaml
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---
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---
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version: "2"
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version: "2.1"
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services:
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services:
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foldingathome:
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foldingathome:
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image: linuxserver/foldingathome
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image: linuxserver/foldingathome
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@ -98,6 +98,7 @@ Docker images are configured using parameters passed at runtime (such as those a
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## User / Group Identifiers
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## User / Group Identifiers
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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`.
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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`.
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@ -117,6 +118,10 @@ This image sets up the Folding@home client. The interface is available at `http:
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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).
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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).
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There are a couple of minor issues with the webgui:
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- If you get an "ERR_EMPTY_RESPONSE" error when trying to access via IP, it's most likely due to a clash of cookies/cache. Try opening in an incgnito window.
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- If you're getting a constant refresh of the window but no display of info, try a force refresh via `shft-F5` or `ctrl-F5`.
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## GPU Hardware Acceleration
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## GPU Hardware Acceleration
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### Nvidia
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### Nvidia
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@ -126,6 +131,11 @@ https://github.com/NVIDIA/nvidia-docker
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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.
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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.
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## Docker Mods
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[](https://mods.linuxserver.io/?mod=foldingathome "view available mods for this container.")
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We publish various [Docker Mods](https://github.com/linuxserver/docker-mods) to enable additional functionality within the containers. The list of Mods available for this image (if any) can be accessed via the dynamic badge above.
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## Support Info
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## Support Info
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@ -140,4 +150,5 @@ We automatically add the necessary environment variable that will utilise all th
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## Versions
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## Versions
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* **14.04.20:** - Add Folding@home donation links.
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* **20.03.20:** - Initial release.
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* **20.03.20:** - Initial release.
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