Connect | APAC // Leadership Discussion: Delivering the AI factory - Solving the power, speed, and people bottleneck
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- Negara Room | Karangasem Ballroom | Lower Level
- Data Center Cooling
- Mission Critical Power
- Data Center Construction
- Invite-only Session
Speakers
Head of Mechanical Engineering, National University of Singapore (NUS)
Chief Customer and Commercial Officer, NEXTDC
Vice President Operations - APAC, Digital Realty
The breakneck pace of AI infrastructure is forcing a fundamental overhaul of cooling, power delivery, and construction. Delivering 10–30MW blocks in six-month cycles requires C-suite leaders to overcome the brutal friction of speed: navigating a vacuum of cooling standards and tightening sustainability mandates, all while simultaneously battling acute talent gaps and 18-month equipment lead times.
- Choosing between rapid retrofits or massive AI giga-factories
- Using on-site generation, including natural gas, hydrogen fuel cells, solar and storage to bypass the grid and go live years earlier
- Protecting campus infrastructure from extreme AI-driven load spikes
- Defining ownership of liquid cooling risks between operators and OEMs
- Adopting operational labour models from the nuclear and marine sectors
- Standardizing blocks to bypass 18-month equipment lead times
- Securing permits through water-neutral and heat-reuse strategies
