


The progressive improvements on both the AMD CDNA™ architecture as well as ROCm and PyTorch shows single GPU model throughput increase from AMD Instinct MI100 to the latest generation AMD Instinct MI200 family GPUs going from ROCm 4.2 to ROCm 5.3 and from PyTorch 1.7 to PyTorch 1.12.

Graph 1: ML model performance over generation using Microsoft Superbench Suite 1, 2, 3
Below are a few of the key updates for ROCm support since the PyTorch 1.12 release
Full Continuous Integration (CI) for ROCm on PyTorch