Note: this only works with a NVIDIA GPU card with CUDA architectures 3.5, 3.7, 5.2, 6.0, 6.1, 7.0 and higher than 7.0. Got those prerequisites? Then let’s continue. It does not require PixInsight but the tutorial will focus on getting it to run within the application. There is a caveat: this method only works on 64bit Windows and only with nVidia GPUs. On my system (Ryzen 7 2700x, GeForce 2080Ti) it went from 3 minutes 45 seconds on my CPU to 25 seconds via CUDA! We’re talking a factor of at least 5x as fast as before. And there is one, by utilizing the GPU in your system to bring the speed up. What is it for? Well if you are here, you are looking for a way to speed up Starnet++. ![]() If you are reading this you have found this post most likely by a Google search or have been linked to it. If you did this guide before you will need to follow it thoroughly again because all dependencies are updated. It will not work with the old StarNet++ version anymore. This guide has been updated to work with the PixInsight 1.8.8-6 version, which has StarNet++ included.
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