skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration

Introduction

Artificial intelligence (AI) and its highly active branch of machine learning (ML) are being applied across every major industry, bringing automated intelligent decision-making and processing.

Highlights

  • This report will help enterprises of all kinds that are using or plan to use AI systems to make the right choices about AI hardware acceleration.

Features and Benefits

  • Learn why training deep learning neural network systems is best performed on GPUs.
  • Identify new players in the field.

Key questions answered

  • How important is the availability of data processing tools and development software stack for the accelerator?
  • Are there benchmarks available for assessing the different AI accelerators?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

There is no single best hardware AI accelerator

  • Data processing for ML applications
  • Choosing the right AI accelerator for the task
  • Defining Table 1 entries

Benchmarking AI hardware is essential to move the field forward

  • MLPerf is the first vendor and university benchmarking initiative for AI hardware

Appendix

  • Author

Recommended Articles

;

Have any questions? Speak to a Specialist

Europe, Middle East & Africa team: +44 7771 980316


Asia-Pacific team: +61 (0)3 960 16700

US team: +1 212-652-5335

Email us at ClientServices@ovum.com

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Email us at pr@ovum.com

Contact marketing - 
marketingdepartment@ovum.com

Already an Ovum client? Login to the Knowledge Center now