The report highlights AI data center expansion by U.S. and Chinese CSPs. U.S. firms scale globally and invest more at home, while Chinese firms expand with self-developed chips, but both prioritize energy stability going forward.
Key Highlights:
- U.S. CSPs are accelerating global AI data center deployments with a trend toward integrated compute and energy, while Chinese CSPs pursue a dual-track model led by BBAT and the three major telecoms.
- Energy availability, grid stability, and policy environments have become critical in site selection, with power costs and regulatory collaboration shaping investment pace and deployment.
- U.S. CSPs commit single-project investments ranging from tens to hundreds of billions of dollars, scaling to gigawatt-level capacity to support AI and HPC demand.
- Chinese CSPs, backed by national policies, are advancing self-developed chips and sovereign cloud strategies, maintaining core domestic builds while expanding overseas.
- High-voltage direct current (HVDC) power architectures are gradually replacing traditional models, becoming essential to support gigawatt-scale compute and reduce energy consumption.
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