madMAx43v3r/chia-gigahorse v1.8.1.giga13

1.8.1.giga13 Gigahorse Node / Farmer

on GitHub

New in this version:

• Fixed harvester with remote compute not using CHIAPOS_MAX_CORES and defaulting to only 2 threads. It now uses CHIAPOS_MAX_CORES number of threads to make requests in parallel, as it should have in the first place.
• In addition, the new default for CHIAPOS_MAX_CORES in case of remote compute is at least 16 threads. Previously it was based on physical CPU core count, which doesn't make sense for remote compute. The new minimum default of 16 threads should be well enough to fully utilize a RTX 4090 on a compute server (excluding the case of C9 plots).
• chia_recompute_server now handles hardware errors properly. If a GPU fails it will close connections and make clients re-try another server. This usually happens for example when resuming from hardware suspend.
• Default CHIAPOS_RECOMPUTE_TIMEOUT is now 20 seconds, (ie. 20000 ms). The previous default of 5 sec was too low in case of many parallel requests, since a fully utilized GPU should take around 9 sec to process all requests from a signage point if they all come in parallel at the same time (worst case).

This release provides Chia Blockchain binaries to farm compressed plots created with the new plotters provided in this repository.

The compressed plot harvester and farmer are not compatible with the official Chia node, it only works together with the Gigahorse node. However it's possible to use a wallet from the official Chia repository, instead of the Gigahorse binary wallet.

Both NFT and OG plots are supported, as well as solo and pool farming (via the official pool protocol). Regular uncompressed plots are supported as well, so you can use the Gigahorse version while re-plotting your farm.

The dev fee is as follows:

• 3.125 % when using GPU(s) to farm compressed plots
• 1.562 % when using CPU(s) to farm compressed plots
• 0 % for regular uncompressed plots

The following packages are needed to run on Linux: sudo apt install ocl-icd-libopencl1

Make sure to choose the correct version for your system, see uname -m, usually it's x86_64. aarch64 is the same as arm64.

On Windows:

• You might have to install latest Microsoft Visual C++ Redistributable: https://aka.ms/vs/17/release/vc_redist.x64.exe

Note: Newer AMD GPUs starting with RX 6000 series do not work due to a driver bug, we have to wait for AMD to fix it. Vega series is known to still work when using an older driver with amdgpu-install --opencl=pal,legacy. RX 5000 series is unknown at this point.

Note: See limit-gpu-usage on how to select an OpenCL platform if you have multiple (excluding Nvidia).