Gain AI Insights with the Gartner® Emerging Tech Impact Radar Report 

According to Gartner, “the processing demand for training the large language models (LLMs) used for Gen AI is ramping up at a faster rate than chip performance.”¹ This is driving the need for new hardware advancements to support the performance required for generative AI.  

From supercomputer clusters to custom AI processors to cooling solutions to manage thermal and power constraints, there are many emerging hardware technologies being developed to solve the problems posed by AI infrastructure performance. 

AHEAD brings you the Gartner Emerging Tech Impact Radar report on Generative AI Hardware Technologies to help you evaluate new hardware technologies that can help you along in your Gen AI journey. 

Read the report to help you optimize your GenAI models today and build the infrastructure to future-proof them in the long term.  

¹SOURCE: Gartner, Emerging Tech Radar, Generative AI Hardware Technologies, 25 October 2024 

GARTNER is a registered trademark and service mark of Gartner, Inc. And/or its affiliates int he U.S. and internationally and is used herein with permission. All rights reserved. Peer Insights is a registered trademark of Gartner, Inc. And/or its affiliates and is used herein with permission. All rights reserved.   

Gartner, Emerging Tech Radar, Generative AI Hardware Technologies, 25 October 2024 

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.