Follow every dependency.
A/B load sharing, conversion losses, battery autonomy and shared upstream failure points.
Browser-native planning-grade digital twin for modern data-center and AI infrastructure. Design power and cooling, simulate failures, and inspect engineering evidence.
◇ No account. Your infrastructure model stays on your device.
Trace a rack to its power source. Remove a UPS. Watch the surviving path take the load, then follow the heat. Every view reads the same engineering model.
Read the equations and assumptions ↗A/B load sharing, conversion losses, battery autonomy and shared upstream failure points.
Conservative heat transport through supply, intake, exhaust and return cells. No random heatmaps.
Utility loss, generator transfer and cooling failures on a deterministic, scrubbable timeline.
Evaluate a 120 kW AI expansion against upstream power, cooling, intake and redundancy constraints.
Follow Power, Network, and Cooling from their foundations to the server and the digital services it supports.
Explore the Data Center 101 map
How surviving paths, capacity, and shared dependencies shape cooling resilience.
Read this beginner guide
How rack coolant connects to facility heat removal.
Read this beginner guide