Power projects are often built as rigid, one-off stacks of transformers, rectifiers,

switchgear, uninterruptible power supply (UPS) systems, and controls—unable to

keep pace with AI-era demand. A better model is a power operating system:

standardized hardware with software-defined adaptability that deploys quickly,

evolves over time, and transforms distributed energy resources (DERs) into a

controllable, revenue-generating fleet. DG Matrix drives this shift—“not just a product,

a platform”—anchored in a multi-port solid-state transformer (SST).
Definition of a Power Operating System

A “Power Operating System” combines three layers:

A Scalable System Architecture: One platform spans multiple use cases—electric

vehicle (EV) hubs, buildings, microgrids, and especially AI-data centers—so teams can

standardize designs, processes, and spares globally.

A Software Layer: Features like dynamic-power sharing, demand-charge mitigation,

time-of-use (TOU) optimization, and grid services are activated and evolved in

software—the “App Store” model for energy. Value grows after installation as new

functions roll out.

A Universal Power Engine: The DG Matrix Energy/Power Router is an SST that natively

aggregates multiple alternating current (AC) and direct current (DC) sources and loads

in a single device, with bi-directional, grid-forming and grid-following capabilities, with

galvanic isolation and programmable ports. This consolidation collapses many

discrete boxes into one controllable platform.
From Projects to Standardized Solutions

The bottleneck is no longer graphics processing units (GPUs) but rather grid upgrades

that take years. DG Matrix solves this by delivering modular, behind-the-meter

capacity—integrating on-site sources, storage, and load—to avoid upstream upgrades

and cut timelines from years to months. DG Matrix packages this as a data

center-ready stack:

Energy/Power Router: the site’s “power computer,” orchestrating grid, solar, fuel

cells, gensets, and mission-critical loads.Power Bridge: brings medium-voltage to the rack to cut conversion steps and free white space.
Conclusion
The future of electrification—and AI-data-center power in particular—won’t be won by

stacking more boxes. It will be won by standardized, software-defined power platforms

that deploy quickly, evolve continuously, and turn edge assets into a coordinated,

monetizable fleet. That’s what DG Matrix means by a power operating system—and why

moving from one-off projects to a programmable platform is the decisive advantage in

the AI decade.