DARKNX's foundational whitepaper on power infrastructure design for high-density AI deployments. Covers power topology, distribution architecture, and the systems-level thinking required before any compute hardware is ever racked.
A technical comparison of two-phase liquid cooling and single-phase cooling for high-density AI workloads. Examines thermal efficiency, operational complexity, total cost of ownership, and deployment considerations for next-generation compute environments.
An examination of on-site power generation as the foundation for AI infrastructure deployment. Covers why grid interconnect timelines no longer match compute demand, the economics and engineering of behind-the-meter generation, and how DARKNX designs power-first sites that scale ahead of utility constraints.
Why the electrical chain inside the fence now decides AI data centre delivery. A layer-by-layer look at the eight engineering decisions between a signed utility agreement and a live compute rack — transformers, switchgear, ATS, UPS, backup generation, busway, PDUs, and rack power — and how integration risk has overtaken grid access as the gating factor on schedule, reliability, and density.
Talk to our engineering team about your deployment requirements, power needs, or any technical questions.