The Nvidia 2080 GPUs command a $500 premium for 3GB of incremental RAM (8GB -> 11GB).
What are the relevant questions and thought process to determine the incremental improvement by moving from the 8GB to the 11GB GPU? Assume these contexts for image segmentation (people counting)
I am inclined to think that the platform affects the RAM evaluation, however, I can not be certain.
Thanks for the good responses that sharpen the question. Updates to questions are provided below.
The plan is to train an image segmenter with recorded images and try different algorithms (YOLO R-CNN etc.) . The end goal is to develop a model that will process a live stream. I am in the planning stage and expect to build (if not buy) a GPU DL Server.