Enabling the next generation of AI data centers
Delivering GW-scale, AI-ready capacity
In our webinar Enabling the next generation of AI data centers: Delivering GW-scale, AI-ready capacity, Worley Consulting experts – alongside specialists from Deloitte, Schneider Electric and Pacifico Energy – explored how AI and hyperscale growth are reshaping the data center landscape. The discussion focused on the growing impact of power demand and infrastructure constraints, examined integrated solutions across the value chain, and shared practical strategies drawn from real world gigawatt scale project examples.
Key insights
Pressed for time? Here are the key insights from the session in just a few minutes.
- Delivering AI-ready data centers at gigawatt-scale requires a step change in how power, infrastructure and digital systems are planned and integrated.
- AI data centers are evolving into controllable assets that can shift demand quickly and potentially provide grid services as rules and interconnection frameworks mature.
- Integrated solutions across power, digital and asset lifecycle planning are essential to unlock long‑term value from AI driven infrastructure.
- Cooling can consume up to 40 percent of a data center’s power budget, pushing thermal engineering into the core of AI‑ready design.
- GW-scale AI data centers demand early, coordinated decision making across design, development and operations – not sequential handoffs.
- Real world project examples show that smarter asset management, combined with standardized reference architectures (with room for controlled variation) help streamline deployment, minimize risk and simplify long-term operation at scale.
- Speed to market is emerging as a primary competitive advantage – driving the shift toward long-term partnerships and integrated supply chains.
- Digital integration plays a critical role in improving visibility, coordination and decision quality across complex AI data center developments.
- AI infrastructure depends on geographically concentrated chip manufacturing and packaging – reinforcing the importance of resilience planning and diversified strategies.
- Collaboration and partnerships across owners, developers and technology partners enables more adaptable, future‑ready assets in fast evolving AI markets.
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