# Use of Multiple GPUs

Except under very narrow circumstances, using multiple GPUs in a single system will not reduce Deep Learning tool training or processing time. What multiple GPUs can do is the following:

- Increase system throughput when your application uses multiple threads to concurrently process images.
- Increase training productivity, by allowing you to train multiple tools at the same time.

If you want to set up multiple GPUs, all GPUs should be of the same type and of the same specification. For example, if you try to set up 3 GPUs including 1 RTX 3080 10GB, then this set of GPUs should be RTX 3080 10GB / RTX 3080 10GB / RTX 3080 10GB. It applies to all the NVIDIA GeForce® series.

Note: For the details about the usage of multiple GPUs for training and processing multiple tools in parallel, see Multiple GPUs Utilization and its sub-pages.