Topic

Neuron Explorer

1 post about Neuron Explorer. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Posts

Hugging Face
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
The post introduces system-level profiling of inference performance on AWS Trainium using TorchNeuron. It explains how to configure torch.profiler with the Neuron backend by passing a NeuronConfig and using NeuronProfiler to capture traces. The walkthrough profiles three implementations of RMSNorm: naive PyTorch operations, the fused torch.rms_norm, and naive operations compiled with torch.compile. The key_averages() table shows that the naive implementation spends 2,355 µs on the Neuron device across six operator dispatches, while both fused and compiled versions reduce device time to about 400 µs with a single dispatch. Neuron Explorer visually confirms the lifecycle of each operation from framework dispatch through runtime scheduling to hardware execution, revealing the gaps that fusion eliminates.

The best engineering reads, once a week.

Topic

1 post about Neuron Explorer. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Hugging Face
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
The post introduces system-level profiling of inference performance on AWS Trainium using TorchNeuron. It explains how to configure torch.profiler with the Neuron backend by passing a NeuronConfig and using NeuronProfiler to capture traces. The walkthrough profiles three implementations of RMSNorm: naive PyTorch operations, the fused torch.rms_norm, and naive operations compiled with torch.compile. The key_averages() table shows that the naive implementation spends 2,355 µs on the Neuron device across six operator dispatches, while both fused and compiled versions reduce device time to about 400 µs with a single dispatch. Neuron Explorer visually confirms the lifecycle of each operation from framework dispatch through runtime scheduling to hardware execution, revealing the gaps that fusion eliminates.

The best engineering reads, once a week.