This document is relevant for: Inf2, Trn1, Trn1n

NeuronX Distributed#

NeuronX Distributed is a package for supporting different distributed training/inference mechanism for Neuron devices. It would provide xla friendly implementations of some of the more popular distributed training/inference techniques. As the size of the model scales, fitting these models on a single device becomes impossible and hence we have to make use of model sharding techniques to partition the model across multiple devices. As part of this library, we enable support for Tensor Parallel sharding technique with other distributed library supported to be added in future.

Setup (neuronx-distributed)

Install PyTorch Neuron on Trn1 to create a pytorch environment. It is recommended to work out of python virtual env so as to avoid package installation issues.

You can install the neuronx-distributed package using the following command:

python -m pip install neuronx_distributed --extra-index-url

Make sure the transformers version is set to 4.26.0

App Notes (neuronx-distributed)
API Reference Guide (neuronx-distributed)
Developer Guide (neuronx-distributed)
Tutorials (neuronx-distributed)
Misc (neuronx-distributed)

This document is relevant for: Inf2, Trn1, Trn1n