VFBATTERY REPORT

Applications: Data Centers

Pages 233–242 (10 pages)

Battery Report 2025, page 241: Applications: Data Centers
Text on page 241

BESS Design Configurations for AI Data Centers BESS enables differentiated energy storage solutions for AI training and inference, each with distinct operational requirements

BESS Design Parameter

Training Campuses

Inference Campuses

Power Tolerance

Tolerates brief interruptions; requires high instantaneous power delivery

Requires 99.999% uptime; zero-tolerance for interruptions;

Scale & Burst Capacity

BESS can supply multi-MW to GW-scale bursts and manage ramping when large training jobs start or pause; 4060% load swings common

Sustained high load; 24 hour backup for always-on fleets

Response Time

Millisecond ramping management; handles computational bursts within seconds

Sub-50ms cutover; BESS is more tightly integrated with UPS and grid services to ride through faults and provide fast frequency response.

Primary Function

Co-located BESS can support “power-firstˮ sitting near renewables or nuclear, with batteries smoothing variability and supporting microgrid-style operation.; support flexible interconnection

BESS plus smart control can arbitrage time-of-use prices for always-on inference fleets, reducing operating cost without compromising SLAs

Source: Terakraft, Flexgen

Extracted from the PDF; charts and images may read imperfectly.

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