Hyperscalers are experiencing unprecedented demand for AI training and inference capacity driven by LLM growth, enterprise AI adoption, and GPU-intensive workloads. Traditional data center construction cannot keep pace with the speed, scale, or power density required.
Using AGI’s Modular Data Halls (MDH) and Modular Technology Cooling System (MTCS), hyperscalers can deploy multi-megawatt clusters in months rather than years. The modular approach eliminates on site construction delays, reduces risk, and provides a scalable foundation for 250 kW+ per rack environments.
This project focuses on rapidly adding extreme-density AI capacity for hyperscalers while preserving reliability, efficiency, and a repeatable rollout model across multiple regions.
Enable hyperscalers to add 8–48 MW of compute capacity with build times under 6 months.
Provide liquid cooling and power architectures optimized for 250–500 kW GPU racks.
Deliver factory-built modules that standardize performance across regions and availability zones.
Support phased deployment from a single hall up to multi-campus AI zones.
Use MTCS centralized cooling to reduce total power consumption by up to 15%.
Allow hyperscalers to add compute nodes quickly without retraining local operations teams.
By standardizing on AGI’s modular data halls and cooling systems, hyperscalers gain a proven blueprint for scaling AI clusters globally with faster time to service, lower risk, and higher rack densities than traditional builds.
AGI’s modular infrastructure allows hyperscalers to compete in the global AI arms race by delivering GPU capacity where it matters, when it matters. With faster deployment, extreme density, and unmatched reliability, hyperscalers gain a repeatable blueprint for scaling AI infrastructure worldwide.
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