AWS released a guide for training Qwen3 AI models on Trainium

Summary

AWS published instructions for training Qwen3 on AWS Trainium chips using torchtitan. The guide details three methods: using Transformers v5 as a backend, switching to native Qwen3 models, and adding custom Neuron Kernel Interface kernels.

What changed

• Train Qwen3 on AWS Trainium using torchtitan through standard PyTorch interfaces
• Use Transformers v5 as a modeling backend in torchtitan for Qwen3
• Switch to torchtitan's native Qwen3 by changing config.model_spec
• Add Neuron Kernel Interface mixture-of-experts kernels and attach custom overrides

Availability

“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.”

Source