Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale

A draft IBM Redpaper publication

Updated 24 September 2020

cover image

ISBN-10: 0738459097
ISBN-13: 9780738459097
IBM Form #: REDP-5610-00
(60 pages)

More options

Rate and comment

Authors: Simon Lorenz, Gero Schmidt, Thomas Schoenemeyer

Abstract

This IBM® Redpaper publication describes the architecture as well as the installation procedure and the results for running a typical training application working on an automotive dataset, in an orchestrated and secured environment, providing horizontal scalability of GPU resources across physical node boundaries for deep neural networks (DNN) workloads. This Redpaper is mostly relevant for system engineers, system administrators, or system architects responsible for data center infrastructure management and typical day-to-day operations such as system monitoring, operational control, asset management, and security audits.

Table of contents

Not available.

These pages are Web versions of IBM Redbooks- and Redpapers-in-progress. They are published here for those who need the information now and may contain spelling, layout and grammatical errors. This material has not been submitted to any formal IBM test and is published AS IS. It has not been the subject of rigorous review. Your feedback is welcomed to improve the usefulness of the material to others.

Follow IBM Redbooks

Follow IBM Redbooks