So, running on my CPU allows me the flexibility to use 64Gb of RAM but all four of my GPUs (2070S) have only 8Gb of memory. I have a fairly simple CNN model with 3 layers but the memory requirements are so large with 400x600 images that I cannot train it on my GPUs. I’m working with a regression problem and would prefer to maintain the resolution of my images. What is done in practice for larger image sizes and GPU memory limitations? With my current CPU processor, I would have to wait several days to train a model