Data Centers & Infrastructure · AI

AI Data Center Financing

The AI infrastructure buildout requires massive capital. OAKRG connects AI data center operators and developers with institutional debt and equity partners for GPU clusters, AI campuses, and edge AI deployments.

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$10M–$500M+
Financing Range
AI-Focused
Investor Network
GPU to Campus
Full Spectrum
What We Offer

Capital Solutions Tailored to You

01
AI Campus Development Finance
Institutional equity and debt for large-scale AI compute campuses — hyperscale GPU clusters, cooling infrastructure, and power procurement.
02
GPU Cluster Financing
Specialist asset finance for GPU server infrastructure — Nvidia H100/H200 clusters, networking, and high-density rack deployments.
03
Power & Cooling Capital
Finance for the power and cooling infrastructure that AI compute demands — substations, liquid cooling, and renewable energy procurement.
04
Sale-Leaseback Structures
Monetise existing AI infrastructure by selling and leasing back the assets, releasing capital for further GPU procurement or campus expansion.
05
AI REIT & Fund Introductions
Introductions to specialist AI infrastructure REITs and digital infrastructure funds with active AI data center mandates.
06
Pre-Tenant Equity
Development equity for AI data center builds before hyperscaler or enterprise anchor tenant agreements are signed.
AI Power
GPU Infrastructure
Who This Is For

Clients We Serve

AI Cloud Providers
Companies building AI cloud and inference infrastructure
Enterprise AI
Corporations building private AI compute capacity
Colocation Operators
Colo providers upgrading to AI-grade power and cooling
GPU-as-a-Service
Companies offering GPU compute on demand
Hyperscale Developers
Campus-scale AI infrastructure developers
Edge AI
Distributed AI inference deployments
How We Work

The Process

01

Initial Consultation

We review your capital requirement, stage, and objectives to identify the right structure and investor type.

02

Documentation & Preparation

We assess your materials and identify gaps before investor introductions begin.

03

Targeted Introductions

We make direct introductions to investors with active mandates matching your profile — no mass distribution.

04

Term Negotiation & Close

We support term sheet review and work alongside your legal team through to execution and close.

FAQ

Frequently Asked Questions

AI data center financing covers the capital structures used to fund AI-specific compute infrastructure — GPU clusters, high-density server deployments, liquid cooling systems, and the power infrastructure that AI workloads demand. It combines traditional data center finance with specialist AI infrastructure knowledge.
AI data centers require 10–30x the power density of standard colocation facilities. This drives higher capital intensity (up to $20M+ per MW vs $7–10M for standard colo) and specialist lenders who understand GPU asset values, AI cloud contract structures, and the power procurement challenges of AI-grade facilities.
Nvidia H100, H200, and Blackwell GPU clusters are the most commonly financed AI compute assets. Lenders assess GPU model, cluster size, power draw, cooling configuration, and the creditworthiness of any contracted GPU-as-a-service customers.
Yes, but it requires equity — not debt. Pre-tenant AI infrastructure development typically requires equity from AI-focused infrastructure funds or strategic investors. Debt financing is available once AI cloud or enterprise anchor tenants are contracted.
A 1MW AI GPU cluster (approximately 500 Nvidia H100 GPUs) requires roughly 1–1.5MW of clean power plus significant cooling infrastructure. Large AI campuses target 100MW–1GW+ of power capacity. Power availability is now the primary constraint on AI data center development globally.
Liquid cooling (direct liquid cooling or immersion cooling) is increasingly required for AI-grade power densities and is viewed positively by infrastructure lenders as it improves PUE (power usage effectiveness), reduces operating costs, and signals engineering sophistication.
AI infrastructure equity investors typically target 15–25%+ IRR, reflecting the development risk, power procurement complexity, and pace of GPU technology change. Contracted AI cloud revenue at the campus level compresses required returns significantly.
Yes. OAKRG connects AI data center operators and developers with institutional lenders and equity investors with active AI infrastructure mandates, from GPU cluster financing to hyperscale AI campus development.
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Finance Your AI Infrastructure

OAKRG connects AI data center operators with the capital they need — from GPU cluster financing to campus-scale equity. Tell us your project and power capacity.

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