Amazon releases TorchNeuron to run PyTorch code on Trainium chips
Developers can now run existing AI code on Amazon's Trainium chips with few or no changes, lowering the barrier to switching hardware.
By Standard Topic. AI-generated from the reporting listed under Coverage. Published . Updated .
This story is no longer being updated. It reflects reporting up to .
What happened
Amazon has released TorchNeuron, a software tool that lets developers run their existing PyTorch AI code on its AWS Trainium chips with virtually no changes. The tool is aimed at reducing the effort needed to adopt new AI hardware. Amazon's software is seen as a challenge to Nvidia's hold on the PyTorch ecosystem.
Timeline
- Oct 18, 8:00 PM ET: Hugging Face published a post introducing TorchNeuron for running Hugging Face models on AWS Trainium.
- Oct 19, 9:00 AM ET: Amazon announced that TorchNeuron opens its Trainium chips to every PyTorch developer, with no rewrite needed.
- Oct 19, 4:09 PM ET: TechCrunch reported that Amazon aims to loosen Nvidia's grip on PyTorch so more apps run on alternative chips.
Coverage
- Amazon is taking its biggest shot at Nvidia yet with new TorchNeuron dev tool (techcrunch.com)
- Amazon Just Made Its AI Chips Easier to Use. Should Nvidia Investors Be Worried? (aol.com)
- Amazon challenges Nvidia’s software advantage with new tool for its AI chips (geekwire.com)
- Amazon opens its AWS Trainium AI chips to every PyTorch developer, no rewrite needed (aboutamazon.com)
- TorchNeuron: running HF models on AWS Trainium is easier than ever (huggingface.co)
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