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Data Center Power Playbook

Access to reliable power has become a primary constraint on data center development, as the industry scales to support artificial intelligence. Traditional power models built on predictable grid interconnection with backup diesel generators are becoming less practical due to grid limitations and the highly dense, volatile load profile of a modern AI data center. Meeting uptime demands of data center servers while protecting surrounding power infrastructure requires a new approach to energy that can respond dynamically to both data center workloads and grid conditions.

Battery energy storage, paired with advanced software control, is emerging as a foundational component of this new power architecture. Drawing on lessons from microgrid and utility-scale deployments, this white paper examines the four major energy challenges facing modern AI data centers and outlines how software-based, battery-centric power architectures can support the next generation of data center growth.

  1. Time-to-power: AI-driven demand is increasing the magnitude and complexity of power needs at the modern data center, while grid infrastructure struggles to keep pace. The result is a growing list of data center projects for which the multi-year interconnection process will not work.
  2. Power quality through AI transient loads and low-voltage grid events: AI training workloads cause rapid, unpredictable spikes in electricity demand. These fluctuations can physically harm onsite power generation like gas turbines, and destabilize the local grid. Conversely, low voltage and frequency swings in the local grid can threaten highly sensitive data center servers.
  3. Multi-asset energy orchestration: Modern data centers increasingly rely on multiple energy sources, including grid power, batteries, generators, and solar. Coordinating these systems in real time requires sophisticated control software capable of managing thousands of signals and operating conditions.
  4. UPS constraints and rising power density: High-performance computing is dramatically increasing server rack power density from a few kilowatts per rack to hundreds of kilowatts. Rack-level UPS architectures are increasingly unable to scale with the compute density of the racks they are designed to protect.

This white paper is part of a series of content from FlexGen. Visit FlexGen.com to explore additional insights and resources.

Sponsored by:
FlexGen
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