The torch.profiler tool allows developers to analyze execution time and memory usage within PyTorch models. This guide explains how to identify bottlenecks and optimize GPU utilization. It focuses on basic setup and interpreting trace files. Practitioners can use these insights to reduce latency and improve hardware efficiency during model training.