TorchNeuron: running HF models on AWS Trainium is easier than ever
TorchNeuron is a PyTorch plugin that brings a new backend for Trainium enabling support for eager mode, torch.compile and native distributed APIs like FSDP and TP.
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Key points
- Read the Pytorch blog to learn more about TorchNeuron.
- Using torchtitan on AWS Trainium means using it the way you always have.
- TorchNeuron registers Trainium as a native PyTorch device, which lets torchtitan use it through standard PyTorch interfaces.
- You can use these configurations to pre-train from random initialization or fine-tune published weights.
Sources (2)
- [1]TorchNeuron: running HF models on AWS Trainium is easier than everHugging Face Blog · Oct 19, 12:00 AM
TorchNeuron is a PyTorch plugin that brings a new backend for Trainium enabling support for eager mode, torch.compile and native distributed APIs like FSDP and TP.
Read the Pytorch blog to learn more about TorchNeuron.
- [2]Train Qwen3 on AWS Trainium with torchtitanAWS Machine Learning Blog · Oct 21, 08:00 PM
Using torchtitan on AWS Trainium means using it the way you always have.
TorchNeuron registers Trainium as a native PyTorch device, which lets torchtitan use it through standard PyTorch interfaces.
Extractive summary: sentences quoted from the sources.
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