# Guidelines for GPU Selection

VisionPro Deep Learning 3.3.2 supports all NVIDIA® CUDA®-enabled GPUs with compute capability of 6.1 and higher. For more information about GPU compute capability, see the NVIDIA website.

Cognex recommends selecting an NVIDIA® GPU model with a higher core clock frequency, higher memory, and a higher number of CUDA cores and Tensor cores because these models provide faster computational speeds.

Note: To use GPU driver versions higher than 546.01, you need to disable the Sysmem Fallback setting in the NVIDIA Control Center. See Disable Shared GPU Memory.

## Tested GPU Models

The following list includes the GPU models that Cognex has tested. Cognex aims to support most common GPU families, but we do not test every model. If the GPU model meets the compute capability requirements, you can use it. Cognex customers use most common GPUs other than very new models, even if the GPUs have not been tested by Cognex.

- NVIDIA® GeForce® GTX 1060 6GB

- NVIDIA® GeForce® GTX 1080

- NVIDIA® GeForce® GTX 1080 Ti

- NVIDIA® GeForce® RTX 2080 Ti

- NVIDIA® GeForce® RTX 3080

- NVIDIA® GeForce® RTX 3080 Ti

- NVIDIA® GeForce® RTX 3090

- NVIDIA® GeForce® RTX 4080

- NVIDIA® GeForce® RTX 4090

- NVIDIA® Quadro® P4000

### Not Recommended GPU Models

Cognex does not recommend the following GPU models because they provide low performance and slow training time for unknown reasons:

- NVIDIA® GeForce® GTX 1650

- NVIDIA® GeForce® GTX 1660