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The biggest challenge facing AI may not be the technology itself, but the infrastructure needed to sustain it. Data centers are being pushed to scale faster, accommodating increasingly dense AI workloads and delivering greater performance, all while contending with real-world constraints around power and land. Drawing on findings from NTT Data Centers’ recent report “Can data centers keep pace with AI?”, this session will explore the converging pressures shaping the future of AI growth, and where innovation must align with planning and coordination to ensure infrastructure can support the next wave of AI adoption. Key topics of discussion include:
- What the next phase of AI infrastructure development will look like
- How power, land, and capacity constraints are influencing infrastructure strategy
- What innovations are helping address emerging bottlenecks
- The importance of long-term planning for AI infrastructure
