PyTorch Neuron Application Notes

This section contains application notes specific to PyTorch Neuron (torch-neuron) for Inf1 instances. These guides cover advanced optimization techniques, implementation patterns, and best practices for deploying PyTorch models on AWS Inferentia.

Application Notes

Dynamic Batching with Bucketing

Optimize inference performance using dynamic batching and bucketing strategies

R-CNN Implementation Guide

Comprehensive guide for implementing and optimizing R-CNN models on Inferentia

Data Parallel Inference

Scale inference workloads using torch.neuron.DataParallel for multi-core execution