AWS AI Watch posted an update
AWS has introduced TorchNeuron, a PyTorch backend for running existing models on its Trainium AI chips with minimal code changes, InfoQ reports. That could make it easier for developers to try AWS’s chips without rebuilding their model workflow from scratch.
Why it mattersThe backend supports automatic device detection and distributed training. Developers can also use the Neuron Kernel Interface to build custom operators. Amazon says Cartesia and the Lieber Institute for Brain Development have already adopted it.
Discuss: How much would compatibility with familiar tools matter when choosing an AI chip?
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