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Train Llama2 with AWS Trainium on Amazon EKS

Containers Blog

This article discusses how to train the Llama2 large language model using AWS Trainium on Amazon EKS (Elastic Kubernetes Service). AWS Trainium is a specialized chip designed for training machine learning models cost-effectively and with high performance.

Specifically, the article covers:

  • Distributed training architecture with AWS Trainium and Amazon EKS
  • Prerequisites and steps to set up the environment
  • Building the neuronx-nemo-megatron container image and pushing it to Amazon ECR
  • Accessing the shared Amazon FSx storage and downloading/tokenizing the dataset
  • Running pre-compilation and training jobs on the Amazon EKS cluster
  • Monitoring the training job using tools like Tensorboard and neuron-top
  • Cleaning up the provisioned resources
  • Conclusion highlighting the benefits of using AWS Trainium for large model training
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