EDGE AI • HEAT RECOVERY • WATER EFFICIENCY • DISTRIBUTED RESILIENCE • MICRO DATA CENTERS • COMMUNITY INFRASTRUCTURE • DARK-FIBRE SCALE-ACROSS • NVIDIA SPECTRUM-XGS • CHALLENGING MEGA DATA CENTRESEDGE AI • HEAT RECOVERY • WATER EFFICIENCY • DISTRIBUTED RESILIENCE • MICRO DATA CENTERS • COMMUNITY INFRASTRUCTURE • DARK-FIBRE SCALE-ACROSS • NVIDIA SPECTRUM-XGS • CHALLENGING MEGA DATA CENTRES
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Latest physical-model findings

Measured next. Modeled now. Heat-sink constrained.

Current design-stage results combine the 120-host Los Angeles heat-sink-siting model with the updated fanless heat-rejection screening figure. They are screening outputs, not field-certified performance. In parallel, the network programme tests whether NVIDIA Spectrum-XGS scale-across networking over dedicated dark fibre can make geographically separated AI factories behave as one compute system. The mega-data-centre conclusion remains an experimental objective, not an already validated result.

79.4%IT electricity converted to useful process heat in the optimistic fully temperature-compatible heat-sink bound
77.6%same-supply operational emissions reduction at 43 gCO₂e/kWh in that upper-bound compatibility case
74 m³/yrcentral direct evaporative water in the current Los Angeles screening model
44.2%reduction in wetted states under dispatch in the current fanless heat-rejection screening figure
120 / 67 stateswater-eligible states versus wetted states under dispatch in the current screening summary
3-site dark-fibre pilotplanned workload-level validation of the NVIDIA Spectrum-XGS scale-across architecture against a co-located reference

The 79.4% and 77.6% values use the optimistic fT = 1.00 temperature-compatibility bound; lower compatible heat fractions materially reduce both benefits. The updated fanless heat-rejection figure also summarizes 83 of 144 states as feasible overall and 77 of 144 as feasible by free pathways alone, while array-wide EHD is not preferred because only 3 of 80 tested cases exceed the conservative comparator.