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.github/workflows/permissions.yml

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- '**/run'
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- '**/finish'
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- '**/check'
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- 'root/migrations/*'
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jobs:
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permission_check:
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uses: linuxserver/github-workflows/.github/workflows/init-svc-executable-permissions.yml@v1

README.md

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https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
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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 container toolkit 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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## Read-Only Operation
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This image can be run with a read-only container filesystem. For details please [read the docs](https://docs.linuxserver.io/misc/read-only/).
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## Usage
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To help you get started creating a container from this image you can either use docker-compose or the docker cli.
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| `-e MACHINE_NAME=` | Assign a friendly name to this instance (no spaces). Required on first start. |
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| `-e CLI_ARGS=` | Optionally pass additional cli arguments to `fah-client` on container start. |
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| `-v /config` | Where Folding@home should store its database and config. |
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| `--read-only=true` | Run container with a read-only filesystem. Please [read the docs](https://docs.linuxserver.io/misc/read-only/). |
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## Environment variables from files (Docker secrets)
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