Evaluating Energy Consumption of AI and GenAI Workloads in Datacenters: What Does the Future Hold?
This IDC Market Perspective explores the energy consumption of AI and GenAI workloads in datacenters, discusses factors leading to increasing energy use, and talks about how AI and GenAI can potentially be used to bring energy savings to datacenters. The rapid uptake of GenAI is driving investments in supporting IT infrastructure, leading to growing demand for power capacity and energy consumption in datacenters."By continued investments into custom silicon, renewable energy, innovative technologies, and ethical business practices, datacenter operators will be able to position themselves as leaders in sustainable AI and GenAI development. This will not only bring environmental benefits but also resonate with enterprises' strategies to reduce their carbon footprint and improve their datacenter operations," said Olga Yashkova, research manager, Emerging Workloads, Stacks, and Deployment Practice at IDC.
Please Note: Extended description available upon request.
- Executive Snapshot
- New Market Developments and Dynamics
- AI and GenAI Energy Consumption Is Rapidly Increasing
- Why Do AI and GenAI Workloads Need So Much Power?
- Accelerated Computing
- AI Workloads Heat Dissipation Challenges
- Role of Infrastructure Providers in Decreasing Energy Use
- Usage of Renewable Energy
- Emergence of Next-Generation Datacenters
- Datacenter Heat Reuse
- GenAI Is an Energy-Intensive Workload, But It Can Offer Sustainability Benefits
- Advice for the Datacenter Operator
- Learn More
- Related Research
- Synopsis
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