AI factory engineering, by the engineers who build them.
Drybulb publishes rigorous technical writing on AI infrastructure — power systems, liquid cooling, networking, reliability, and sustainability — alongside a growing library of practical engineering tools. Written for the owners, investors, and engineering teams making high-stakes infrastructure decisions.
Latest articles
All articles →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.
Engineering tools
Free, open tools for data center and AI infrastructure engineers. Starting with a PUE calculator — more on the way.
PUE Calculator
Estimate Power Usage Effectiveness from IT load, cooling, and overhead inputs. Compare against industry benchmarks for traditional and AI-dense facilities.