As of today, your folding GPUs just got a big powerup! Thanks to NVIDIA engineers, our Folding@home GPU cores—based on the open source OpenMM toolkit—are now CUDA-enabled, allowing you to run GPU projects significantly faster. Typical GPUs will see 15-30% speedups on most Folding@home projects, drastically increasing both science throughput and points per day (PPD) these GPUs will generate.
Full announcement, details, and performance charts can be seen at https://foldingathome.org/2020/09/28/foldingathome-gets-cuda-support/
This is a public release. Nothing needs to be done as long as you are running recent or current NVIDIA drivers. If you have an NVIDIA GPU then the FAHClient will automatically download an updated Core 22 when you receive a CUDA-enabled project. It's worth noting that if you are using a computer dedicated entirely to NVIDIA GPU folding then CUDA performance under Linux is significantly higher than under Windows 10.
Seeing one person's 1080 Ti getting up to 2.5m PPD already under Windows, which is insane given that card would be lucky to get 1.2m PPD a year ago. It will likely take a few months before CUDA projects replace most of the standard OpenCL projects, so the higher performance will take time to stabilize.