Distributed Training

This tutorial guides you through distributed training of large language models on AWS Trainium clusters.

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Overview

AWS Trainium is a custom chip optimized for deep learning training, delivering the best cost-performance ratio. The neuronx-distributed library enables easy implementation of data/tensor/pipeline parallel training.

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Prerequisites

• 2+ trn1.32xlarge instances
• EFA (Elastic Fabric Adapter) networking enabled
• Neuron SDK 2.18 or higher

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Step 1: Cluster Configuration

Coming Soon

Detailed step-by-step guide will be added soon.

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References

• Neuron Distributed Training Docs
• AWS Trainium Instances