Explore the Agenda
9:00 am Check-In & Connect
Workshop A
10:00 am Exploring Cooling Strategies that Enable Higher-Temperature Rack Operation and AI-Scale Densities
- Evaluating air, liquid, and hybrid cooling architectures alongside CDU configurations to align with AI chip demands, cabinet design, and evolving deployment models
- Assessing Eastern State climate impacts, heat rejection limits, and chiller derating to mitigate thermal risk and maintain performance during peak AI load conditions
- Integrating thermal storage, buffer tanks, and mature piping, and vendor strategies to stabilize system hydraulics and reduce operational risk as cooling technologies evolve
12:00 pm Expand Your Network: Industry Lunch
Workshop B
1:00 pm Successfully Implementing Modularization at Scale to Accelerate Delivery Amid Labour Constraints
- Demonstrating how major scopes of work were shifted from site to controlled manufacturing environments to deliver more capacity with fewer on-site labour resources
- Quantifying where modularization materially reduced program risk and where it did not, based on what was implemented rather than discussed in theory
- Translating owner, contractor, and design-side decisions into repeatable approaches that show what “doing more with less people” looks like in practice
3:00 pm Afternoon Refreshments & Networking Break
3:29 pm Workshop C
3:30 pm Peer-to-Peer Roundtables: Unpacking Resilient Power Strategies to Enable High-Density AI Data Centers Under Grid Constraints
As AI workloads surge ahead of grid capacity, this session brings the industry face-to-face with the realities of constrained power. In a fast-moving, interactive roundtable format, you’ll dig into the pressure points – from interconnection delays to policy headwinds – and explore where smarter redundancy, architecture, and cooling strategies can unlock deployment without sacrificing uptime. Expect candid discussion on the trade-offs shaping site design today, and practical insight into how to build infrastructure that performs under pressure now while staying flexible as AI demands keep evolving.