Brief Summary

General

March 29, 2026

Concise overview of 1for.ai: ~92% gross margin (EBITDA ~85%), $45M CAPEX, $13M Year 1 revenue, 28-32% IRR, modular BTM hydro GPU infrastructure

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1For AI
Zero Carbon

Energy-native GPU cloud infrastructure · Mountain Georgia · Q1 2028
LLC Virtual Zone · Georgia
Pre-investment stage
MOU signed · JV structuring
13/13 sections complete
To deliver the world’s most cost-efficient AI inference infrastructure by converting untapped hydroelectric energy directly into enterprise compute power.
$45M
Total CAPEX
$13M
Year 1 Revenue
~92%
Gross Margin (EBITDA ~85%)
28–32%
10yr IRR
2.5×
MOIC
3.5yr
Payback Period
$1M
Annual OPEX
$0
Electricity Cost
↺ IRR base (equity vs. total CAPEX) — requires clarification in financial model
2025
Concept & Spec
LLC registered. Tech architecture finalized. Financial model complete.
2025–26
MOU & JV Structuring
MOU with HPP operators signed. JV legal structure in progress.
2026–27
Investment Close
Anchor client LOI. Institutional capital secured. Build begins.
Q1 2028
Launch
First 1 MW facility operational. Enterprise inference live.
2028–33
10 MW Scale
Multi-site expansion. Strategic acquisition target.
Track 1

Pay-per-Use

$5–7 / GPU-hr

On-demand inference access. 20% cluster allocation. Flexible entry point via API Layer.

Track 2

Reserved Capacity

$3.5–4.5 / GPU-hr

1–3yr contracts for predictable workloads. 30% cluster. SLA-backed stability.

Track 3

Private AI Factory

$1.0M / month

Dedicated cluster for 1–2 global enterprise clients. 50% allocation. Full isolation.

API Layer

Standardised programmatic access to inference compute across all three tiers. NVIDIA Rubin Ultra architecture (GR200 NVL72) · InfiniBand NDR800 · ~10.4 ExaFLOPS (FP8)

01
Zero Electricity Cost
Behind-the-meter JV with HPP owners eliminates the primary OPEX driver. OPEX $1M/yr vs industry norm of $8–12M/yr for equivalent capacity.
02
Natural Liquid Cooling
Mountain river water DLC. PUE < 1.10 — no mechanical cooling CAPEX, permanent thermal advantage over grid-connected competitors.
03
Georgia Virtual Zone Status
Significant tax advantages (15% rate) unavailable in competing jurisdictions. Structural fiscal moat alongside energy moat.
04
Inference-Only Focus
Stable flat power load eliminates need for expensive BESS systems required by training workloads. Simpler, cheaper, more reliable infrastructure.
05
Modular 1 MW Architecture + MOU Pipeline
Rapid replication across hydro sites with existing signed MOUs creates first-mover barrier no grid-dependent competitor can replicate regardless of capital.

Market Position

AWS / GCP / Azure
Dominant
CoreWeave
Growing
Crusoe / IREN
Niche
1for.ai
Unique

Structural Asymmetry

Competitors compete on scale and capital.
1for.ai competes on energy architecture.

A 10 MW hydro contract at $0/kWh is worth more than the GPUs it runs — because GPUs can be upgraded, but power contracts cannot be replicated.

Hydroelectric Power
1 MW BTM · $0/kWh · JV structure · stable flat load
River Water DLC Cooling
PUE <1.10 · no BESS · no mechanical cooling
4× GR200 NVL72 Racks
288 GPU · 144 Grace CPU · InfiniBand NDR800 · 1.5PB NVMe
API Layer
Enterprise inference · 1–2 dedicated clients · 99.9% SLA

Staffing & Monitoring

🔧
2 On-Site Engineers
Per facility · permanent · hardware ops & maintenance
📡
Proprietary Remote NOC
24/7 monitoring · in-house · Starlink backup connectivity
99.9% Uptime SLA
Enterprise-grade guarantee · hydro stability advantage

Target Market

Large enterprises & AI-native companies requiring dedicated high-throughput inference at scale.

Primary geographies: Georgia (Caucasus) · Gulf region (UAE / KSA)

Vertical-agnostic · stable continuous inference workloads · cost-sensitive procurement.

Go-to-Market

Direct: High-touch enterprise outreach, consultative deal structuring

Partners: NVIDIA ecosystem, technology integrators

Inbound: Public website · API documentation · developer community

Use of Funds
Compute (4× GR200 NVL72)$26.5M
Networking + Storage$6.9M
Power + Cooling infra$2.66M
Civil / Prefab$1.6M
Software + Integration + Connectivity$2.0M
Contingency reserve~$5.3M
$45M
Total Capital
Required
Structure & Exit
StructureJV · 1for.ai + Investors + HPP
Equity / Debt ratioTBD at close
HPP JV shareTBD at close
Target exitStrategic acquisition
Exit asset10 MW multi-site portfolio
Acquirer profileHyperscaler / SWF / Infra fund
Capacity
10 MW
Multi-site hydro network
Caucasus region
Position
Lowest cost-per-FLOP
enterprise inference
in EMEA + Gulf
Exit
Strategic acquisition
by hyperscaler /
sovereign infra fund