Case Study
Tonomia AI Factory
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Tonomia SRL · BE0802716273 · Battice, Belgium
Tonomia
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Tonomia Inc. · AI Factory · Power & Infrastructure

200 MW AI Factory
I-15 Corridor, Clark County (NV)

Compare Reciprocating Engines, Gas Turbines, and SOFC + H₂ across NVIDIA GB300 NVL72 or AMD MI355X architectures — including full recurring cost stack (SW orchestration, fiber, storage) and a 5-year P&L projection.

Configuration

INPUTS
📍
Nevada · Gas $4.5/MMBtu · Corp Tax 0%
I-15 Corridor, Clark County
Near Kern River Gas & Questar pipelines · Las Vegas metro
Recip. Engines 10×20 MW · 44% eff.
Gas Turbines Simple-Cycle · 38%
SOFC + H₂ NG→H₂ SMR · 60%
NVIDIA GB300 NVL72 · 72/rack · 125 kW · $35M/MW
AMD MI355X ×64 · 64/rack · 125 kW · $25M/MW
200 MW
95%
$4.5
10 yrs
15 yrs
20 yrs
GPU Lifetime: 5 years (AI CAPEX amort.)
SW Orchestration: $2,000/GPU/yr
Optical Fiber: $30k/MW/month
Storage: $0.05/GPU/month
CPU: Included in GPU cost

Scale & Capacity

IT Load
200
MW
Total Racks
—
GPU racks
Total GPUs
—
compute units
Annual GPU-hrs
—
at utilization
Elec. Efficiency
—
% (chain)
Sell Price
—
/GPU·hr

Power Infrastructure CAPEX

Component ⬡ Engines ⬡ Turbines ⬡ SOFC+H₂
Generation Units — — —
Balance of Plant — — —
SMR / H₂ Plant — — —
Gas Interconnect — — —
Total Power CAPEX — — —
$/kW installed — — —

GPU-Hour Cost vs Revenue — All 3 Technologies

Cost bars vs — sell price line GPU lifetime: 5 yrs · Sell price fixed by GPU arch.
⬡ Recip. Engines ——
⬡ Gas Turbines ——
⬡ SOFC + H₂ ——
CAPEX amort.
Fuel/Power
SW + Fiber + Storage
Staff + Maint.

Cost & Revenue Waterfall — Recip. Engines

$Annual revenue (sell price × GPU-hrs)—
−AI CAPEX amort. (5 yr GPU lifetime)—
−Energy CAPEX amort.—
−Fuel / power cost—
−SW orchestration ($2k/GPU/yr)—
−Optical fiber ($30k/MW/month)—
−Storage ($0.05/GPU/month)—
−Staff, cooling & maintenance—
▶NET ANNUAL P&L (after amort.)—

CAPEX Breakdown

Generation Units
—
Balance of Plant
—
Gas Interconnect
—
AI Infrastructure
—
SW Orchestration (5yr)
—
TOTAL CAPEX
—
CAPEX/GPU: —  ·  AI CAPEX/MW: —

Tonomia vs Other DC / Prefab Solutions

⬡ Tonomia
Engines + MI355X ⬡ Tonomia
Engines + NVL72 ⬡ Prefab
AMD MI355X ⬡ Prefab
NVIDIA GB300
AI CAPEX / MW $25M $35M $35M / MW $47M / MW
Total AI CAPEX — — — —
Energy Infra CAPEX — — Grid-connected
(utility tariff) Grid-connected
(utility tariff)
Total CAPEX — — — —
CAPEX / GPU — — — —
Total GPUs — — — —
Power Model On-site gen.
sovereign On-site gen.
sovereign Grid tariff
~$0.08/kWh Grid tariff
~$0.08/kWh
Sell Price $2.90/hr $4.10/hr $2.90/hr $4.10/hr
★ Cost / GPU·hr — — — —
★ Margin / GPU·hr — — — —

5-Year Financial Summary

Recip. Engines
Line Item Year 1Year 2Year 3Year 4Year 55-Yr Total

Full 3-Technology Comparison

Metric ⬡ Recip. Engines ⬡ Gas Turbines ⬡ SOFC + H₂

Annual Economics (Yr 1)

Gross Revenue
—
at sell price
Total OPEX
—
incl. all recurring
Fuel Cost
—
$/year
SW + Fiber + Storage
—
annual recurring
EBITDA
—
before amort.
Net P&L
—
after all amort.

Deployment Timeline

Phase 1
—
Site & Permits
Phase 2 ‖
—
Gas Interconnect
Phase 3
—
Manufacturing
Phase 4
—
Install & Comm.
Total
—
First Power

Technology Breakdown

Engines Turbines SOFC+H₂
CAPEX
Generation Units — — —
Balance of Plant — — —
Gas Interconnect — — —
⟶ Power CAPEX — — —
Sub Total Power — — —
★ Total CAPEX — — —
Annual OPEX
Fuel Cost — — —
★ Total OPEX — — —
Annual Profit
Revenue — — —
EBITDA — — —
★ Net P&L (after tax) — — —
Cost/GPU·hr — — —
Margin/GPU·hr — — —