The Hugging Face team details how to isolate bottlenecks in attention layers using PyTorch's profiler. The guide demonstrates identifying memory spikes and compute inefficiencies during the forward pass. This technical deep-dive helps researchers optimize transformer throughput. It provides a practical framework for reducing latency in large-scale LLM inference pipelines.