This project has been tested and works correctly only on the arm64 Darwin platform, Linux platforms with Nvidia GPUs and Windows platforms with Nvidia GPUs . Results may be incorrect on Windows + AMD platforms (Especially the Vega architecture).

Support for NVIDIA Multi-GPU. Tested with 2 GPUs, 4 GPUs, and 8 GPUs. Due to a known issue (busy-wait) when running OpenCL in NVIDIA, each GPU will fully utilize one CPU core. Make sure you have enough CPU cores.

For those with both a CPU and GPU that support OpenCL, please ensure you select the GPU to run the program (use the --select-device parameter)!

Run on Nosana Network

Directly run this job on a GPU on the Nosana Network:

1. Fill in your preferred prefix in the Nosana Job Definition file: nosana-generate-key.json

2. Depending on your prefix length, pick a suitable GPU from the market list. For a prefix of 6 characters, we recommend a heavier GPU, like the a100 or the h100.

npx @nosana/cli market list

3. Post your job and wait for the results

npx @nosana/cli job post -f nosana-generate-key.json -m nvidia-h100 --wait

Manual Installation

$ python3 -m pip install -r requirements.txt

# or

$ pip3 install -r requirements.txt

Requires Python 3.6 or higher.

Docker

Only works on Linux platforms with Nvidia GPUs. Check this doc.

$ docker build -t sol_vanity_cl .
$ docker run --rm -it sol_vanity_cl

You will enter the container. The source code is located in the /app directory in the container, and all dependencies have been installed.

Use the Docker image laurensv/sol_vanity_cl:latest. You can easily use vast.ai or runpod.io to run this program. Please note:

1. The device’s CUDA version should be greater than 12.0.
2. The source code is located in the /app directory, so you don’t need to download the code from GitHub.

Usage

$ python main.py

Usage: main.py [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  search-pubkey  Search Solana vanity pubkey
  show-device    Show OpenCL devices

Search Pubkey

$ python main.py search-pubkey --help

Usage: main.py search-pubkey [OPTIONS]

  Search Solana vanity pubkey

Options:
  --starts-with TEXT              Public key starts with the indicated prefix.
  --ends-with TEXT                Public key ends with the indicated suffix.
  --count INTEGER                 Count of pubkeys to generate.  [default: 1]
  --output-dir DIRECTORY          Output directory.  [default: ./]
  --select-device / --no-select-device
                                  Select OpenCL device manually  [default: no-
                                  select-device]
  --iteration-bits INTEGER        Number of the iteration occupied bits.
                                  Recommended 24, 26, 28, 30, 32. The larger
                                  the bits, the longer it takes to complete an
                                  iteration.  [default: 24]
  --help                          Show this message and exit.

Example:

$ python main.py search-pubkey --starts-with SoL

[INFO 2024-05-11 03:17:57,110] Searching Solana pubkey that starts with 'SoL' and ends with ''
[INFO 2024-05-11 03:17:57,161] Searching with 1 OpenCL devices
[INFO 2024-05-11 03:18:06,034] Speed: 1.89 MH/s
[INFO 2024-05-11 03:18:06,036] Found: SoLJqsivM2R8Y2GXhfvKJoFM1aDAsmwMBLbbFwAZWR1

Verify Keypairs file via Solana CLI:

$ solana-keygen pubkey SoLJqsivM2R8Y2GXhfvKJoFM1aDAsmwMBLbbFwAZWR1.json

SoLJqsivM2R8Y2GXhfvKJoFM1aDAsmwMBLbbFwAZWR1