Contributor
Drybulb
Founding Editor
A licensed Professional Engineer (PE) and Doctor of Design with 25+ years of experience across mission-critical data center infrastructure — power systems, cooling, and MEP coordination from utility intake to the rack.
Articles
The AI Factory's Nervous System: The Case for Converging IT and OT
The power and cooling are being reinvented for the AI factory; the data layer that ties them together is still treated as an afterthought. The case for converging IT and operational technology onto one open, real-time, event-driven telemetry-and-control fabric — grid to GPU.
Certified, Self-Qualified, and Still Untested: The Case for Project-Specific BESS Testing
AI factories are making the battery load-bearing. A stack of certifications — and even NVIDIA's own self-qualification — won't tell you whether this BESS will hold your grid. Why project-specific testing is the layer of assurance no one can outsource.
The 800VDC Rollout: How the AI Factory Power Architecture Is Taking Shape
Everyone agrees 54V is dead above a megawatt. Inside the monopolar-vs-bipolar split, the reference designs, and the supplier ecosystem powering the next generation of AI factories.
An Engineering Overview of AI Factory Design
How AI factories differ from traditional data centers — token throughput as the design product, GPU rack density, rail-optimized networks, power chains, and direct-liquid cooling at scale.
The Whole Data Center: Why PUE Was Never the Whole Story
A decade of optimizing data centers for PUE captured the easy efficiency gains. A life-cycle model of workload, building, grid, and supply chain shows the carbon we can't see now outweighs the carbon we've learned to cut.