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AWS releases Neuron 2.33 with native PyTorch support and AI tools

AWS Neuron 2.33 brings native PyTorch support, rapid health detection, and new plugins for AI development.

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Logo: AWS

Summary

AWS released Neuron 2.33 with TorchNeuron in public beta, offering native PyTorch support for Trainium instances. The update also includes Neuron Observer for health monitoring, upgraded vLLM plugins, and expanded kernel capabilities.

What changed

  • AWS Neuron 2.33 adds TorchNeuron, the native PyTorch backend for AWS Trainium, in public beta.
  • Neuron Observer launches in public beta to detect Trainium health issues in under a second.
  • The vLLM Neuron plugin upgrades to vLLM 0.29.0, and the vLLM Omni Neuron plugin for Wan2.2 is added.
  • The Neuron Kernel Interface now allows the full Python language for metaprogramming.

Availability

Available now

“AWS Neuron 2.33 is now available, introducing TorchNeuron, the native PyTorch backend for AWS Trainium, in public beta.”

Founder takeaway

Teams running AI models on AWS Trainium instances can test the new native PyTorch backend and hardware health monitoring tools in Neuron 2.33.

Source

AWSAWS Neuron 2.33 adds native PyTorch support, Neuron Observer, and other new features - AWS

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