Building and Benchmarking DLRM on Arm Neoverse V2 with MLPerf

About this Learning Path

Who is this for?

This is an introductory topic for software developers who want to set up a pipeline in the cloud for recommendation models. You'll build and run the Deep Learning Recommendation Model (DLRM) and benchmark its performance using MLPerf and PyTorch.

What will you learn?

Upon completion of this learning path, you will be able to:

• Build the Deep Learning Recommendation Model (DLRM).
• Run a modified performant DLRMv2 benchmark and inspect the results.

Prerequisites

Before starting, you will need the following:

• Any Arm-based instance from a cloud service provider (CSP), or an on-premise Arm server with at least 400GB of RAM and 800 GB of disk space.