GPU Plotter
Autonomys utilizes your drive storage, specifically SSD or NVMe drives, to store plots. After the plotting process is finished, these plots are then farmed using your CPU. Farming is not particularly demanding on the CPU, enabling most modern processors to manage a substantial farm size. However, the plot creation process is highly resource intensive, which makes CPU plotting the main bottleneck.
Utilizing GPU plotting allows you to harness the power of compatible GPUs for plot generation and replotting, either in conjunction with or as a substitute for CPU processing. While many modern CPUs can complete the plotting of a sector in less than two minutes, a single high performance GPU can accomplish the same task in under five seconds, greatly improving efficiency and speed.
Although GPU plotting is not mandatory, it provides enhanced energy efficiency and speed compared to relying solely on a CPU.
-GPU plotting employs the new v1 plot format, which is applicable to any plots created with versions released on or after July 5th. In contrast, older software versions generated plots in the v0 format, which is only compatible with CPU plotting.
Platform Compatibility
| Platform | 🐧 Linux | 🪟 Windows | Nvidia | AMD | Intel |
|---|---|---|---|---|---|
| Advanced CLI | ✅ | ✅ | ✅ | 🛠️ | 🔮 |
| Space Acres | ✅ | ✅ | ✅ | 🔜 | 🔮 |
🛠️ Limited AMD Support for Linux only is available in recent test builds. The most recent test builds are linked on the forum
See Discord farmer-chat channel for limited support.
C
Specify particular GPUs for plotting rather than using all available GPUs (the default configuration employs all compatible GPUs): --cuda-gpus <gpu_ids>
--cuda-gpus 0,1,3
Farming Cluster
-When utilizing Farming Cluster, particularly with multiple or fast GPUs, you might encounter limitations due to your network's bandwidth. High performance GPUs can easily surpass the capacity of a 1G connection. While this won't cause the process to fail, it may result in your GPU idling as it waits for data to transfer. To optimize performance in such scenarios, consider upgrading to networking solutions of 2.5G, 10G, or higher.
-Known Issues
-Many times you will not use all of the compute power of your GPU. While this will be addressed in the future, a workaround when running a farming cluster is to run multiple instances of the plotter on the same machine.