Business economics

Scenario Analysis

Selected financial and operating scenarios illustrate the economics of the parent company, franchisee sites, prototype deployment and environmental performance. The long-term platform thesis assumes that dedicated dark fibre and NVIDIA Spectrum-XGS scale-across networking can aggregate those sites into a unified compute fabric; the science programme is designed to test that assumption before treating mega data centres as obsolete.

Parent companyFranchiseePrototypePitch deck

Business-plan chart gallery

**Parent baseline pro forma**Baseline parent-company financial scenario.

Parent enterprise value — **Enterprise-value growth**Scenario growth and enterprise-value analysis.

Parent unit economics — **Unit economics scenarios**Four-scenario unit-economics comparison.

**Franchisee cash flow**20-year accumulated franchisee cash-flow scenario.

**Franchisee payback period**Incremental capital payback scenario.

**Franchisee site value**Potential mature-site value scenario.

Environmental mitigation slide — **Pitch environmental mitigation**Network-scale environmental scenario.

Funding ask slide — **Pitch funding ask**Prototype funding scenario.

Milestones slide — **Pitch milestones**Development and deployment milestones.

**Prototype construction budget**Prototype construction budget.

**Prototype annual revenue**Prototype annual-revenue scenario.

**Prototype estimated profit**Prototype estimated-profit scenario.

Open science downloads

Current papers, methods and model limits.

First page of the current heat-sink-constrained distributed AI infrastructure manuscript

Heat-sink-constrained siting of distributed AI infrastructure: energy, carbon and water impacts in Los Angeles

The current deterministic hourly study places 6,160 B300-equivalent accelerators across 120 representative car-wash and laundromat hosts and tests useful heat, carbon, water, climate and metropolitan-network constraints. Its network programme uses NVIDIA Spectrum-XGS as the scale-across layer over dedicated optical fibre and specifies fibre-spool and multi-site experiments to test whether distributed sites can match co-located clusters — the key experiment behind the project’s objective of proving that mega data centres can become obsolete as the default architecture for many workloads.

Current paper PDF Model + files

First page of the current mechanism-resolved fanless photovoltaic-thermal heat-rejection manuscript

Mechanism-resolved modeling and adaptive control of a fanless photovoltaic-thermal heat-rejection array

The current 170 m² roof-array study resolves passive and wetted mechanisms separately, quantifies the water-capacity trade-off, rejects array-wide ionic wind on energetic grounds and tests roof-area matching from micro facilities to hyperscale.

Current paper PDF DOCX Model + files

The goal: prove the mega data centre is no longer necessary.

Cloud Wash Laundry is being designed around a direct technical challenge to the conventional mega-campus model: place compute where useful heat already exists, then connect those heat-sink-sited AI factories with dedicated dark fibre and NVIDIA Spectrum-XGS scale-across networking so the distributed sites can operate as one metropolitan compute fabric.

The dark fibre is the dedicated optical transport; Spectrum-XGS is NVIDIA’s scale-across networking layer. The project’s proposed fibre-spool testbed and multi-site field pilot are intended to determine whether distributed sites can match co-located clusters on workload-level measures such as time-to-result and energy per token.

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.