In the AI era, the competition for computing power is, fundamentally, a competition for energy.

In a recent interview with Polaris Energy Storage Network, Cheng Chao, Senior Partner of Far East Battery and Executive General Manager of Jiangsu Far East Battery, shared the company’s vision for the future of energy storage:

“Our focus has never been on developing generic products. Instead, we are committed to delivering customized solutions that truly match customer application scenarios and maximize lifecycle value.”

This philosophy has become the guiding principle behind Far East Battery’s energy storage solutions for AI Data Centers (AIDC).

As AI data centers continue to evolve toward higher computing density, greater power demand and increasing energy consumption, three critical challenges are emerging: renewable energy integration, power stability under dynamic workloads, and highly reliable backup power. At the same time, China’s newly issued policy requiring green electricity consumption for new national hub data centers is accelerating the transition of energy storage from a backup system to a critical component of AI infrastructure.

To address these challenges, Far East Battery has developed three scenario-oriented solutions—GreenShield, SmartShield and DataShield—covering renewable energy integration, intelligent power management and high-reliability backup power to support safer, smarter and greener AI data centers.

Challenge 1 | Renewable Energy Integration

GreenShield — PowerSTROM 5000/6000 Liquid-Cooled Energy Storage System

As renewable energy adoption continues to grow, efficient coordination between intermittent renewable generation and stable computing loads has become essential for AI data centers.

GreenShield supports direct integration of solar and wind power while leveraging an intelligent Energy Management System (EMS) to coordinate generation, grid, load and storage. The system increases renewable energy utilization, mitigates grid impact and reduces overall energy costs, providing a stable and efficient green energy foundation for AI computing.

Transforming renewable energy into reliable computing power.

Challenge 2 | Stable Power Supply

SmartShield — PowerPLANT 260 PLUS C&I Energy Storage System

AI training and inference workloads create rapid and highly dynamic power fluctuations, placing greater demands on power response, safety and system reliability.

Designed for campus-scale AI data centers and commercial & industrial applications, SmartShield features an advanced liquid-cooling architecture for precise thermal management. Through coordinated BMS and EMS control, it responds rapidly to load changes, ensuring stable operation of critical computing infrastructure. Its modular design enables flexible deployment and expansion while peak shaving and demand management improve overall energy efficiency and reduce operating costs.

Delivering smarter energy management and more reliable power for AI computing.

Challenge 3 | High-Density Deployment

DataShield — PowerBrick DC51260 Backup Energy Storage Solution

As server density continues to increase, data centers require backup power solutions that maximize both reliability and space utilization.

DataShield incorporates high-rate battery cells (1C/4C/6C) and supports millisecond-level power switching with compatibility for both UPS and HVDC architectures. Its high energy density reduces installation footprint by up to 60%, while intelligent cell-level monitoring, multiple safety protections and smart O&M capabilities enhance overall system reliability.

Enabling greater computing capacity within limited space.

Scenario-Driven Innovation for the AI Era

In the AI era, energy storage has evolved from a supporting power system into a core enabler of next-generation computing infrastructure.

Guided by a scenario-driven product philosophy, Far East Battery continues to expand its portfolio across grid-side energy storage, commercial & industrial ESS and high-rate backup power solutions. Through GreenShield, SmartShield and DataShield, the company is helping AI data centers achieve greater reliability, higher efficiency and lower carbon emissions—empowering every kilowatt-hour of clean energy to deliver greater computing value.