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Whitepaper: Unlocking stranded power in AI data centers

Brief

DG Matrix's whitepaper (published 17 March 2026 by Data Centre Dynamics) analyzes how 'stranded power' within facilities limits AI data-center growth and shows that conventional distribution can't match dynamic AI workloads. It proposes software-defined power infrastructure to dynamically route energy across grid, storage and distributed resources, unlocking additional deployable compute within current utility limits and improving economics.

Cleaned source text

Unlocking stranded power Read here

AI infrastructure is scaling fast, but power availability is becoming one of the biggest constraints on data center growth. Even where capacity exists, traditional architectures often prevent operators from fully deploying it to compute.

This whitepaper from DG Matrix explores how “stranded power” emerges inside modern facilities and why conventional power distribution models struggle to keep pace with dynamic AI workloads.

Inside you will learn:

Why stranded power is becoming a structural constraint in AI data centers

How AI workload behavior exposes gaps in conventional power architectures

How dynamic energy routing can unlock additional deployable compute

The economic impact of reclaiming unused power capacity

Read here

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