AWS Details Training Qwen3 on Trainium2 Using torchtitan

AWS outlined three methods to train and fine-tune Qwen3 models on AWS Trainium using torchtitan and TorchNeuron. TorchNeuron registers Trainium as a native PyTorch device, allowing standard PyTorch interfaces and torchrun launch workflows.

Key takeaways

• The guide outlines three training approaches: Transformers v5 modeling backend, torchtitan native Qwen3, and Neuron Kernel Interface MoE kernels.
• Configurations run on a trn2.48xlarge instance with 64 logical NeuronCores, supporting standard checkpoint loading and custom NKI operator integration.