Curved Metrics
Energy curvature, heat arcs, and thermodynamic signatures. Load and temperature move as arcs across a day, a season, and a year — the shape of that arc says more about a facility than any annualised average.
Curved MetricsData centre efficiency is a global industrial challenge. Compute demand grows faster than grids, water rights, and thermal envelopes can follow, and the headline metrics — PUE, WUE, rack density — have largely stopped improving while AI workloads sharply raise the load they measure.
HEUREKA reads facilities dimensionally: energy as curvature, cooling as arcs, water as a bounded perimeter. What a single efficiency ratio flattens, a dimensional reading keeps legible and comparable across sites, seasons, and operators.
Energy curvature, heat arcs, and thermodynamic signatures. Load and temperature move as arcs across a day, a season, and a year — the shape of that arc says more about a facility than any annualised average.
Curved MetricsPUE, WUE, rack density, utilisation, and workflow optimisation expressed as countable structure — unit-bearing quantities extracted from disclosures rather than restated from summaries.
Digital MetricsMachine optics, metrics, curvature, and chromatics applied to operational reporting, so efficiency claims from different operators become structurally comparable.
Digital OpticsHuman and machine alignment on the same reading: operators contribute judgement about siting, scheduling, and thermal risk; engines hold the measurement record steady across runs.
Chromatic MetricsEnergy behaviour treated as a curve with direction and inflection, not a flat consumption figure — the basis for comparing facilities that never run under identical conditions.
Three nested rhythms govern cooling demand. Reading them separately reveals which inefficiency is structural, which is seasonal, and which is a scheduling artefact.
Water use bounded by a defined perimeter: what enters, what evaporates, what returns. A perimeter makes WUE auditable instead of declarative.