Hugging Face Shows How to Profile TorchNeuron Inference on AWS Trainium

Hugging Face published a tutorial on profiling TorchNeuron inference on AWS Trainium, showing how to trace execution from framework dispatch through runtime scheduling to hardware execution with torch.profiler and Neuron Explorer. The guide compares three RMSNorm implementations using the same inputs and profiling configuration. In the reported runs, torch.rms_norm and torch.compile each fuse the computation into a single kernel dispatch and take about one-sixth of the naive implementation’s device time. That result applies to these RMSNorm comparisons, rather than overall inference performance.

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