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Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC

Machine Learning Blog

This post introduces new features in AWS Neuron 2.18 that improve the user experience for working with AWS Inferentia and Trainium instances. It covers the availability of Neuron Deep Learning AMIs (DLAMIs) and Deep Learning Containers (DLCs) with the latest Neuron SDK on the same day as the SDK release, as well as other enhancements.

Specifically, the article covers:

  • Multi-Framework DLAMIs for Ubuntu 22 with separate virtual environments for PyTorch, TensorFlow, and other frameworks
  • AWS Systems Manager Parameter Store support for easily finding and launching DLAMIs with the latest Neuron SDK
  • Availability of Neuron DLC images in Amazon ECR Public and Private repositories
  • Updated documentation on using Neuron DLCs and DLAMIs with various AWS services like EKS, ECS, EC2, and SageMaker
  • Conclusion highlighting the benefits of these new features for accelerating machine learning workloads on AWS Inferentia and Trainium instances
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