Explore the Agenda
9:00 am Check-in, Registration & Breakfast
Workshop A
10:00 am Forecasting AI & GPU Projections to Effectively Shape Designs for Growing Data Hall Densities
Forecasting AI-driven demand is no longer a theoretical exercise, it is a critical design input that directly shapes density planning, electrical distribution, cooling strategy, and capital allocation. As GPU platforms evolve rapidly and deployment behaviors diverge from early projections, design teams must balance ambition with realism to avoid overbuild or costly redesign. This workshop will explore how organizations are translating AI growth uncertainty into defensible planning assumptions that support scalable, highdensity data hall development while maintaining flexibility for future platform shifts.
- Comparing projected AI workloads against real deployment behavior to reduce misalignment between assumed and actual rack densities
- Stress-testing performance and capacity assumptions against multiple growth scenarios to improve resilience to rapid platform shifts
- Aligning end users, architects, engineers, and project partners on operating expectations to set realistic deployment timelines
12:00 pm Lunch Break & Networking
Workshop B
1:00 pm Comparing Small, Medium & Mega Data Center Typologies to Identify Design Trade-Offs for Varying Operational Requirements
Data center scale fundamentally reshapes design complexity, infrastructure strategy, and commercial risk. What works for a smaller regional facility often breaks down at mega-campus scale, where utility coordination, phasing, land economics, and reliability expectations intensify. This workshop will examine how design priorities shift across small, medium, and mega typologies, helping teams understand where trade-offs emerge and how to align infrastructure decisions with operational requirements, capital strategy, and long-term scalability.
- Breaking down mechanical plant configurations across small, medium, and mega data centers to understand how scale influences cooling architecture, redundancy strategies, and system complexity
- Assessing how facility size impacts chilled water plant sizing, heat rejection strategies, and phasing of mechanical infrastructure as capacity expands
- Evaluating cooling design trade-offs around water usage, footprint, and redundancy requirements to balance thermal resilience against capital cost and site constraints
3:00 pm Afternoon Refreshments & Networking
Workshop C
3:30 pm Designing Flexible Electrical & Cooling Architectures to Improve Adaptability to Market Changes & Avoid Rework
In an environment where rack densities, cooling approaches, and customer requirements are evolving faster than traditional design cycles, flexibility has become a core engineering priority. Electrical and cooling architecture must be structured not only for today’s loads, but for uncertain platform shifts, higher future densities, and changing commercial demands. This workshop will explore how teams are embedding adaptability into infrastructure strategy – balancing standardization with scalability to reduce rework, protect capital investment, and maintain long term system relevance.
- Allowing for higher future rack densities in electrical and cooling design to maintain system relevance and minimize rework
- Developing facilities with adaptable layouts and scalable infrastructure to accommodate future technological shifts and minimize the need for costly retrofits
- Addressing the need for standardized yet flexible facilities to support diverse customer requirements