A new guide from Hugging Face details how to use the PyTorch Profiler to identify bottlenecks in attention mechanisms. It focuses on analyzing GPU kernels and memory bandwidth to optimize transformer performance. Developers can now pinpoint specific latency spikes in custom layers. This technical deep-dive provides a practical framework for reducing inference costs.