Heterogeneous Computing: The Key to Powering the Future of AI Agent Inference

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Authors: Yiren Zhao, Junyi Liu
Cited by: 1
References: 6

Abstract

The use of artificial intelligence (AI) agents has rapidly increased to meet the demands of today’s AI workloads. Heterogeneity will be the key to unlocking efficient performance and meeting the demands of the next generation of AI systems.

Fields of Study & Subjects

Big Data and Digital Economy Reinforcement Learning in Robotics Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
Computer
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
59
Issue
4
Pages
165–171
Publication date
31 March 2026