This document is relevant for: Inf1, Inf2, Trn1, Trn1n

Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)

Neuron release 2.3 is the first release of Neuron 2.x, and which enables GA of the new EC2 Trn1 instances. Neuron release 2.3 extends latest release of Neuron 1.x (Neuron 1.19.2) to add support for deep-learning training on the AWS Trainium chips.

Starting with Neuron release 2.3, developers can run deep learning training workloads on Trn1 instances to save training costs by up to 50% over equivalent GPU-based EC2 instances, while getting the highest training performance in AWS cloud for popular NLP models. Neuron 2.x introduces the new capabilities and major architectural updates to support training neural-networks with the Trn1 instances.

In addition, starting with this release, Neuron introduces new packages, renames several packages, and updates Neuron installation and update instructions. This release also ends the support for Neuron Runtime 1.x.

More about the release

What’s New	rn2.3.0_new Introducing Packaging and installation changes Introducing New Neuron GitHub Repositories Announcing Neuron Runtime 1.x (neuron-rtd) end-of-support
Get started with Neuron	Get Started with PyTorch Neuron Neuron Quick Links
Tested workloads and known issues	rn2.3.0_tested rn2.3.0-known-issues
Frequently Asked Questions (FAQ)	Neuron 2.x Introduction at Trn1 GA - FAQ Training with Neuron - FAQ
Troubleshooting	PyTorch Neuron Troubleshooting on Trn1 Neuron Runtime Troubleshooting on Inf1 and Trn1
Neuron architecture and features	Neuron Architecture Neuron Features
Neuron Components release notes	Neuron Components Release Notes

This document is relevant for: Inf1, Inf2, Trn1, Trn1n