The Hugging Face team detailed how to use the PyTorch Profiler to identify bottlenecks in attention layers. The guide demonstrates tracking GPU kernel execution and memory bandwidth to optimize transformer throughput. Developers can now pinpoint specific operation delays. This technical deep-dive provides a practical framework for reducing latency in large-scale LLM inference pipelines.