Cloud Can Help Enterprises Be More Sustainable When Deploying AI and GenAI Workloads

Cloud Can Help Enterprises Be More Sustainable When Deploying AI and GenAI Workloads


This IDC Market Perspective explores the increasing energy consumption of AI and GenAI workloads. It looks into the different ways that new adopters of these technologies can reduce energy consumption and reduce their environmental impact without sacrificing the technological advancements AI and GenAI have to offer."Because AI and GenAI workloads require a lot of computational power in a small space, that leads to poor heat dissipation. AI and GenAI algorithms often entail complex computations with massive data sets. It takes a great deal of computer power to process these, which results in high power usage. Enterprises seeking to adopt AI/GenAI solutions should consider switching to cloud computing to minimize the environmental footprint from AI and GenAI workloads." — Olga Yashkova, research manager, Enterprise and Emerging Workloads, Worldwide Infrastructure Research at IDC

Please Note: Extended description available upon request.


Executive Snapshot
Situation Overview
What Makes AI and GenAI Workloads So Power Hungry?
Advice for the Technology Buyer
Switch to Public Cloud Where Possible
Usage of Renewable Power
Higher Efficiency
Choose the Right Model
Know the Numbers
Focus on Effective Resource Management
Learn More
Related Research
Synopsis

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