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22 Oct 2026, 12:04 AMHugging Face Blog4.5 Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.

Part 1 of a Hugging Face/Amazon series walks through system-level profiling of TorchNeuron on AWS Trainium. It shows how to set NeuronConfig with DEVICE and RUNTIME modes, capture_enabled_for_nc='0', and correlate_device_time=True, then use NeuronProfiler.export_trace to write trace.json and read key_averages() to compare Self CPU time with Neuron device time. The walkthrough follows one operation through Neuron Explorer from PyTorch dispatch to runtime scheduling to NeuronCore execution, and compares three implementations of the same operation.

Why: If you run PyTorch on Trainium, this gives a concrete profiling recipe: set modes=[DEVICE, RUNTIME] and correlate_device_time=True so key_averages() lines up CPU and Neuron device time, then use that table to decide whether an op is CPU-dispatch-bound or NeuronCore-bound before rewriting it. If you are not on Trainium, there is no action here.

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