What is GPU memory optimization in deep learning inference?

GPU memory optimization reduces memory footprint during training and inference.

Techniques include mixed precision training, gradient checkpointing, tensor reuse, and memory-efficient attention mechanisms. Optimizing GPU memory is essential for serving large models under cost constraints and enabling higher batch sizes.