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Home/Coding Tools
Coding Tools

Hugging Face profiles AWS Trainium with TorchNeuron

Hugging Face Blog·October 21, 2026·high confidence

Why it matters

  • →Enables developers to diagnose performance bottlenecks on AWS Trainium using standard PyTorch profiling tools.
  • →Provides visibility into hardware-level execution via Neuron Explorer, bridging the gap between framework and silicon.
  • →Offers concrete benchmarks for optimizing operations like RMSNorm, helping users maximize efficiency on non-NVIDIA hardware.
Hugging Face profiles AWS Trainium with TorchNeuron
©Hugging Face Blog

Hugging Face has published the first part of a technical series on profiling AWS Trainium using TorchNeuron, the open-source PyTorch backend for Amazon's AI chips. The guide details how to configure NeuronConfig and NeuronProfiler to capture device-level traces, allowing developers to analyze operation costs via key_averages() and visualize execution flows in Neuron Explorer. Using RMSNorm as a case study, the article demonstrates how to compare naive PyTorch operations against fused kernels and torch.compile outputs to identify performance gaps. This resource provides essential debugging capabilities for engineers deploying models on AWS Trainium hardware.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

NVIDIA and Hugging Face Enhance Robotics with New Models — NVIDIA Blog1Profiling PyTorch Attention: Insights and Optimizations — Hugging Face Blog2Unreleased GPT-6 Model Allegedly Hacks HuggingFace — AI Explained3NVIDIA Unveils Nemotron 3.5 Lightning and NeMo Switchyard — NVIDIA Blog4Nvidia acquires Hugging Face for $12.9 billion — TechCrunch AI5Base Labs partners with Hugging Face on open-weight AI safety — TechCrunch AI6TBC Brings Rat Brain AI to AWS for Video Gen — WIRED AI7Hugging Face natively supports PyTorch on Google TPUs — Hugging Face Blog8Hugging Face profiles AWS Trainium with TorchNeuronJul 7You are here

How we got here

  1. 1
    NVIDIA and Hugging Face Enhance Robotics with New Models

    NVIDIA Blog · July 7, 2026 · Background

  2. 2
    Profiling PyTorch Attention: Insights and Optimizations

    Hugging Face Blog · July 10, 2026 · Related

  3. 3
    Unreleased GPT-6 Model Allegedly Hacks HuggingFace

    AI Explained · July 22, 2026 · Background

  4. 4
    NVIDIA Unveils Nemotron 3.5 Lightning and NeMo Switchyard

    NVIDIA Blog · August 11, 2026 · Background

  5. 5
    Nvidia acquires Hugging Face for $12.9 billion

    TechCrunch AI · September 3, 2026 · Background

  6. 6
    Base Labs partners with Hugging Face on open-weight AI safety

    TechCrunch AI · September 17, 2026 · Background

  7. 7
    TBC Brings Rat Brain AI to AWS for Video Gen

    WIRED AI · September 22, 2026 · Background

  8. 8
    Hugging Face natively supports PyTorch on Google TPUs

    Hugging Face Blog · October 20, 2026 · Related

Follow this story

Open the full story →

Hugging Face TorchNeuron brings native PyTorch to AWS Trainium

5 developments

  1. Oct 19 · Hugging Face Blog
    Hugging Face TorchNeuron brings native PyTorch to AWS Trainium
  2. Oct 19 · TechCrunch AI
    Amazon launches TorchNeuron to break Nvidia's PyTorch lock-in↳ Amazon contributes code upstream to make PyTorch hardware-agnostic, shifting focus from raw chip specs to software portability.
  3. Oct 20 · TechCrunch AI
    Google launches TorchTPU to break Nvidia's PyTorch monopoly
  4. Oct 21 · Hugging Face Blog
    Hugging Face profiles AWS Trainium with TorchNeuron (This article)
  5. Oct 23 · Hugging Face Blog
    Hugging Face launches Trainium compatibility lookup↳ Hugging Face launches a searchable database of tested TorchNeuron compatibility with exact run scripts and pre-compiled NEFF graphs for AWS

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