This document is relevant for: Inf1, Inf2, Trn1, Trn2

Introducing the first release of Neuron 2.x enabling EC2 Trn1 General Availability (GA)

Neuron release 2.3 is the first release of Neuron 2.x that enables GA of the new EC2 Trn1 instances. Neuron release 2.3 extends the latest release of Neuron 1.x (Neuron 1.19.2), adding 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, saving training costs by up to 50% over equivalent GPU-based EC2 instances, while achieving the highest training performance in the AWS cloud for popular NLP models. Neuron 2.x introduces 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 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	components-rn

This document is relevant for: Inf1, Inf2, Trn1, Trn2