AWS Publishes Tutorial on Training Qwen3 with torchtitan on Trainium
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On October 22, 2026, the AWS Machine Learning Blog published a tutorial explaining how to train Qwen3 models with torchtitan on AWS Trainium instances. The tutorial uses the trn2.48xlarge instance as an example, which is equipped with 16 Trainium2 accelerators. It presents three ways to train Qwen3: first, using Transformers v5 as the modeling backend; second, switching to torchtitan's native Qwen3 implementation; and third, integrating NKI-based MoE kernels. The tutorial comes from the official AWS blog and is first-hand information. So far this is the only report, with no follow-up coverage yet on actual training results, performance data, or user feedback.
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- AWS Machine Learning BlogTrain Qwen3 on AWS Trainium with torchtitan
On an AWS trn2.48xlarge instance (16 Trainium2 accelerators), Qwen3 can be trained with torchtitan in three ways: using Transformers v5 as the modeling backend, switching to torchtitan's native Qwen3 implementation, and integrating NKI MoE kernels.
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