Description
Increasing need for data and AI is creating unprecedented demand for data-center capacity, while social and regulatory pressure demands reduced energy and water consumption. Serial hyperscale, co- location, and "edge" clients are driving innovation in design and industrialization, using digital libraries of configurable, scalable solutions for repeatable, standardized designs that can be amended to suit local codes and site constraints. Benefits include that solutions capture and optimize for a wide range of stakeholder needs. In addition, creating rules-based relationships allows design automation, and site-specific designs are created in hours. The approach facilitates supply chain input—using standard products reduces lead times and alleviates pressure on suppliers. Individual elements can be refined "offline" and reintroduced when ready—critical for bringing in new technology for cooling and decarbonization without total redesign. Automotive does this well, leading to continual improvement, not constant reinvention.
Key Learnings
- Learn about advanced digitally driven workflows using genetic algorithms for rapid design iteration, optimization, and decarbonization.
- Learn about the industrialization of data-center design to maximize efficiency and achieve mass customization with economies of scale.
- Learn about future trends in data center design, including intensification and adoption of new technologies to reduce water and energy consumption.