The Hugging Face team detailed how to isolate attention bottlenecks using PyTorch profiling tools. They demonstrate identifying memory spikes and compute inefficiencies within transformer layers. This guide provides a technical blueprint for optimizing inference latency. Developers can now pinpoint exactly which attention heads consume the most resources during a forward pass.