• Ubuntu 22.04 版本
• 英伟达图形处理器

1. 下载并运行官方子空间节点

   https://docs.subspace.network/docs/farming-&-staking/farming/advanced-cli/cli-install#step-1-download-the-advanced-cli-executables

2. 下载 oula subspace farmer

   https://github.com/oula-network/subspace/releases

3. Run oula subspace farmer

   # set CUDA_VISIBLE_DEVICES = "x" before running a subspace-farmer to designate a single GPU to a subspace-farmer.
   export CUDA_VISIBLE_DEVICES=0 GPU_CONCURRENCY=15
   
   ./subspace-farmer farm --reward-address <YOUR_ADDRESS> --node-rpc-url <YOUR_NODE> --record-encoding-concurrency=32 path=/data01,size=7T path=/data02,size=7T

如果要配置更多路径，则需要相应地增加 和 的值。 的值越高，需要的 GPU 内存就越多。GPU_CONCURRENCY--record-encoding-concurrencyGPU_CONCURRENCY