Amazon releases TorchNeuron for Trainium chip
TechCrunch: Amazon is taking its biggest shot at Nvidia yet with new TorchNeuron dev tool
Amazon wants to break Nvidia’s hold on PyTorch, the free toolkit used to build most AI apps, so that more developers run their apps on alternative chips like its own.
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Amazon Web Services released TorchNeuron, a tool that allows AI applications written with PyTorch to run on Amazon's Trainium chip with only a single line of configuration change and no code rewriting required. This matters because Nvidia's CUDA software has long dominated the AI hardware space by seamlessly supporting PyTorch, which about 85% of AI apps use, making Nvidia hardware the default choice for developers. Amazon is also contributing code changes to PyTorch itself to make the framework less dependent on Nvidia's specific hardware, aiming to give developers more choice and competition in the AI chip market. Amazon argues that building on its cloud platform offers startups better overall economics than using single-purpose compute providers tied to Nvidia hardware, since Trainium handles both training and inference while being integrated with a complete cloud infrastructure.
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