
Cloud Can Help Enterprises Be More Sustainable When Deploying AI and GenAI Workloads
Description
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.
Table of Contents
5 Pages
- 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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