Gigahorse

Start a Discussion or join our Discord for support and to help out.

The Gigahorse closed-source binaries from Madmax allow for plots compressed with his proprietary plotter to be farmed. Available as a pseudo-blockchain within Machinaris, you can create these special plots (not cross-compatible with standard Chia) and farm them with a Nvidia GPU, passed into the Machinaris Docker container.

Frequently Asked Questions

Can I use my CPU?

Yes, as shown in Madmax's comparison, one need not use a GPU until higher levels of plot compression:

Can I use my GPU?

Yes, definitely on Linux and Unraid, probably not on Windows due to Docker deficiencies. However this is being investigated, tested, and documented.

Nvidia

You'll need the Nvidia Driver Runtime. On Unraid, just install the Nvidia Driver plugin.

Then please add the following to your docker-compose.yml. Extend the existing environment section

    environment:
        - OPENCL_GPU=nvidia
        - NVIDIA_VISIBLE_DEVICES=0
        - NVIDIA_DRIVER_CAPABILITIES=compute,utility

Then add a new runtime line, (at same level as environment):

    runtime: nvidia

OR for Unraid, using the Docker admin tab, edit the Machinaris-MMX config, create 3 new Variables (shown) and add --runtime=nvidia to the "Extra Parameters" field.

Ideally you can target the device by position or GUID, which you can later override in Unraid Docker Configuration or compose ENVs,

-e NVIDIA_VISIBLE_DEVICES=0 or -e NVIDIA_VISIBLE_DEVICES=GPU-a8b96998-xxxx-xxxx

Further explained here.

AMD

For AMD GPUs, as per this tutorial (AMD section part-way down), please add the following to your docker-compose.yml. Extend the existing environment section

    environment:
        - OPENCL_GPU=amd
        - ROC_ENABLE_PRE_VEGA=1

and add the following devices section at the same level as environment:

    devices:
        - "/dev/kfd:/dev/kfd"
        - "/dev/dri/:/dev/dri/"

Intel iGPU

Extend the existing environment section

    environment:
        - OPENCL_GPU=intel

and add the following devices section at the same level as environment:

    devices:
        - "/dev/dri/:/dev/dri/"

On the host machine, add the user that runs the container to the "video" and "render" groups.

sudo adduser $USER video
sudo adduser $USER render

To see if it worked, after the container starts, connect to it and type "clinfo"

docker exec -it machinaris-mmx bash
clinfo

You should see something like:

root@localhost:/chia-blockchain# clinfo 
Number of platforms                               1
  Platform Name                                   Intel(R) OpenCL HD Graphics
  Platform Vendor                                 Intel(R) Corporation
  Platform Version                                OpenCL 3.0 
  Platform Profile                                FULL_PROFILE