GPU memory refers to the amount of data that a graphics processing unit (GPU) can store and access simultaneously. A GPU with larger memory capacity enables parallel processing of more information, allowing it to support larger machine learning models or higher batch sizes without running into memory constraints. Insufficient GPU memory typically leads to program crashes or failed computations.
