Powering a 500MW Next-Gen AI Factory Network
for a Leading Global Cloud Titan

Project Background

The project is a modern AI computing center designed to support large-scale AI model training, inference services, and high-performance computing. As additional GPU clusters were deployed, both the total computing capacity and rack power density continued to increase, placing greater demands on the capacity, efficiency, and reliability of the underlying energy infrastructure.

The customer required a power system that could support current computing deployments while allowing for phased expansion in the future. The project also aimed to improve energy efficiency and strengthen the system's ability to respond to workload fluctuations and grid disturbances, ensuring a stable operating environment for mission-critical computing tasks.

Project Outcomes

Based on the project's computing roadmap, load characteristics, development schedule, and site conditions, EnerAI developed an integrated power architecture covering energy connection, power conversion, energy storage, backup power, and final power distribution.

The system features a modular design that supports phased deployment and flexible expansion alongside the rollout of computing equipment. The energy storage system works in coordination with the intelligent energy management platform to monitor workload fluctuations and dynamically regulate energy supply.

Multi-level protection, backup power, fault monitoring, and rapid isolation mechanisms strengthen the system's ability to respond to equipment failures, grid disturbances, and load fluctuations, providing continuous and stable power for mission-critical AI workloads.