Cognex recommends using a GPU for higher performance and for access to Standard tools. You can use Legacy mode tools without a GPU, but you cannot process Standard and Standard tools.

VisionPro Deep Learning has the following GPU requirements:

- VisionPro Deep Learning 4.0 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.

- 10 GB or larger GPU RAM is required for a training Training is the process that your tool, which is a neural network, is learning about the features (pixels) based on the labels you made. For example, a tool will learn the defect/normal pixels in each image based on the defect/normal labels you drew. The goal of the tool Training is learning enough to give the correct inspection results of whether an unseen image is defective or not. The key to training is to ensure that you include all possible variations within your training set, and that your images are accurately labeled. Training times vary by the application, tool setup and the GPU in the PC being used to train the network. PC.

- 8 GB or larger GPU RAM is required for a deployment PC.

  Note: For training and processing Standard tools, Cognex recommends more than 10 GB.