patsissons/xmr-stak

xmr-stak Universal Docker Miner

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https://github.com/fireice-uk/xmr-stak docker image that can mine CPU, AMD, and NVIDIA at the same time. One mining container to rule them all!

Tags

• latest: the latest stable version
• develop: the latest testing version (may not be stable). A new version of xmr-stak will start here and typically migrate shortly to beta.
• experimental: a completely untested version running an experimental build
• beta: the next upcoming release version. A develop version will migrate here, and typically migrate shortly to latest.
• VERSION: the tagged version of xmr-stak build

Usage

• A simple one liner to get the container mining right away

bash
docker run --runtime=nvidia --device=/dev/dri --device=/dev/kfd --group-add=video -it -d --name xmr-stak -p 8000:8000  -v xmr-stak-config:/config patsissons/xmr-stak:develop -o ca.minexmr.com:5555 -u 47NHecs6qjvDcbx3eW6cDGDwdm3gDqbHs7G8hzPYRxf3YRTcDJw8kXhDxfHinsjHUwVwdFusSn76UHkaz68KurUgHvFmPMH.github-xmr-stak -p x --currency monero --httpd 8000

• A more https://github.com/patsissons/xmr-stak-docker/blob/master/start-xmr-stak.sh to simplify the process of starting and uprading the miner. Running sudo ./start-xmr-stak.sh will pull down the latest version while still mining, then stop and upgrade the container to resume mining with minimal downtime. If you want to use this script with the latest develop builds, run sudo ./start-xmr-stak.sh develop instead. The script is ready to accept overrides for a few environment variables to simplify multi-host distribution.

Host requirements

Everything has been tested on http://archive.ubuntu.com/ubuntu/dists/xenial/main/installer-amd64/current/images/netboot/mini.iso, but may also possibly work on http://archive.ubuntu.com/ubuntu/dists/bionic/main/installer-amd64/current/images/netboot/mini.iso. For the most stable results, try and ensure your docker container environments match the host environment, especially for driver versions.

AMD Requirements

AMD requires only drivers installed on the host to interact with the hardware.

amdgpu-pro

You need to have installed the https://www.amd.com/en/support/kb/release-notes/rn-rad-lin-18-50-unified on the host machine and then run the docker image with --device=/dev/dri --device=/dev/kfd --group-add=video.

Testing

• check the status of the amdgpu-pro host driver installation.

/opt/amdgpu-pro/bin/clinfo

• check the status of the docker integration

docker run -it --rm --device=/dev/dri --device=/dev/kfd --group-add=video --entrypoint=/bin/sh patsissons/xmr-stak -c /opt/amdgpu-pro/bin/clinfo

NVIDIA Requirements

NVIDIA requires both a docker runtime and cuda drivers installed on the host to interact with the hardware.

nvidia-docker

You need to have already installed https://github.com/NVIDIA/nvidia-docker to enable passthru on the nvidia card(s). You will also need to have the https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64 installed. Run the docker container with --runtime=nvidia to enable the NVIDIA passthrough.

cuda-drivers

Installing cuda drivers on https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&target_type=debnetwork is the easiest way to get things going. You can install the drivers with apt-get install --no-install-recommends cuda-drivers. Make sure to reboot after installing new drivers.

Testing

• check the status of the cuda-drivers host driver installation.

/usr/bin/nvidia-smi

• check the status of the docker integration

docker run -it --rm --runtime=nvidia --entrypoint=/bin/sh patsissons/xmr-stak -c /usr/bin/nvidia-smi

***s

If you find this docker image useful, ***s for work on dockerizing mining app are appreciated at any of the following addresses:

• BTC: 1LNY9wSPs913Y9jXMTrrVze1E41nhm6Qv7
• LTC: LhnwdbrnQaQbjDkqxXFmxXGPcFhMBA9gFu
• XMR: 47NHecs6qjvDcbx3eW6cDGDwdm3gDqbHs7G8hzPYRxf3YRTcDJw8kXhDxfHinsjHUwVwdFusSn76UHkaz68KurUgHvFmPMH

Acknowledgements

• https://github.com/bananajamma/docker-xmr-stak-amd-vega for the initial concept
• https://github.com/merxnet/xmr-stak-amd-docker for the multi-stage build concept