As the demand for AI-driven workloads grows, so does the need for energy-efficient, resilient, and scalable data center infrastructures. AI workloads not only push power densities to new limits, but also demand innovative energy strategies to balance performance, sustainability, and cost. This roundtable will take a deep look into the critical intersection of energy innovation and AI-focused infrastructure. In this session, industry experts will discuss:

• Energy Challenges of AI Workloads: How AI accelerators, GPUs, and other high-density technologies impact power requirements and thermal management.
• Integrated Energy Solutions: From grid partnerships and onsite generation and renewables to modular power systems and advanced cooling techniques.
• Balancing Sustainability and Scalability: Leveraging AI and analytics for energy optimization while meeting ESG goals.
• Future Energy Trends: Insights into emerging technologies like hydrogen fuel cells, small modular reactors (SMRs), and energy storage for next-gen AI data centers.

The discussion will boost data center stakeholders’ knowledge of key elements to design and implement robust energy strategies that not only power AI workloads, but also align with operators’ long-term business and environmental objectives.