Credit strategy · 02In development

AI infrastructure credit — the second strategy.

Senior secured lending to mid-market compute operators and enterprise buyers. Same underwriting, with the equipment held as security.

£1–20M
Ticket size
senior secured
≤65%
Advance at drawdown
stepping down to 55%
≤36m
Tenor
monthly amortisation
1.25x
Minimum cover
debt service, tested monthly
The financing gap

We underwrite the borrower, and hold the asset

Specialist lenders finance rental contracts in tickets of $25M+. Own-use buyers and mid-market operators have few secured lenders.

  • Hyperscale GPU financing is concentrated in very large facilities
  • Mid-market operators buy one to twenty servers at a time
  • Equipment is financeable: it has serial numbers, a resale market and measurable income
TICKET SIZE →WHAT IS UNDERWRITTENRentalcontractBorrower’sbusiness£1M$100M+Specialist GPU lenders$25M and upRental contract is the creditVendor financeTied to the vendor’s kitUsually a leaseBridgingFi£1–20M · senior securedThe borrower is the credit;we hold the hardwareTerm lenders(finished assets)

Illustrative market positioning.

Contract-led underwriting
Vendor financeVendor-tied equipment lease
Specialist GPU lenders$25M+ · rental contract is the credit
Business-led underwriting
BridgingFi£1–20M · borrower is the credit · hardware held as security
Term lendersFinished assets
Who we lend to

Three kinds of borrower

GPU cloud operators

Mid-market clouds renting capacity to AI companies, with contracted or recurring revenue.

AI platforms buying own compute

Model and API businesses replacing third-party inference with their own servers.

Enterprise and research buyers

Companies installing on-premise or colocated clusters for their own workloads.

What we finance

Current-generation, enterprise hardware

EligibleCondition
NVIDIA B300 / B200 HGX and DGX serversNew, from an authorised reseller
GB200 / GB300 systemsCase by case
H200 and earlierCase by case, lower advance
Networking, storage and installationPart of the same purchase only
HostingTier III data centre in the UK or EU, with lender access rights
Indicative loan termsINDICATIVE
Ticket
£1–20M per borrower
Advance
Up to 65% of cost, stepping down to 55%
Tenor
Up to 36 months
Repayment
Monthly, amortising
Security
First-ranking debenture; equipment serials listed
Cash
Revenue through a controlled account
Covenant
Debt-service cover of at least 1.25x
Pricing
Risk-based, fixed for the term
Staged release

Capital follows milestones, never a purchase order alone

~20%Order · deposit
~50%Delivery · serials & title
~20%Installation
~10%Acceptance
LiveRevenue

Paid to the supplier

In stages, direct to the manufacturer or reseller.

First-ranking charge

Over the equipment and the company, registered at Companies House.

Controlled collections

Revenue services the loan first; the balance goes to the borrower.

Dynamic LTV

65% at drawdown, stepping to 55% as the hardware ages.

Underwriting

Five questions before any loan

01Borrower
→
Ownership, KYC/KYB, financials, equity paid in.
02Demand
→
Contracts, usage history and the utilisation needed to repay.
03Hardware
→
Specification, supplier, delivery date, warranty.
04Hosting
→
Power, cooling, access agreement, location.
05Exit value
→
Invoice, market and stressed-sale values.
Worked example

One 8-GPU B300 server

Illustrative, from our internal feasibility model at UK public prices, September 2026.

Amount
All-in cost (server, installation)£441,000
Loan at 60%£265,000
Borrower equity£176,000
Term / repayment36 months, monthly
Monthly debt service (illustrative rate)≈ £9,000
Utilisation needed to break even≈ 40%
Debt-service cover at 50% utilisation≈ 1.45x

Illustrative only. Actual performance may differ materially; terms depend on the borrower, hardware and market prices.

02550751000m12m24m36mEquipment valueLoan balanceCOLLATERAL COVER GROWS

Illustrative. Assumes 18% annual depreciation and straight-line amortisation.

Equipment valueLoan balance
0mLoan begins below asset value
12mCollateral cover grows
24mPrincipal amortises faster
36mLoan fully repaid

Illustrative. Assumes 18% annual depreciation and straight-line amortisation.

Depreciation discipline

Principal falls faster than the hardware

GPUs hold real resale value, but they depreciate as new generations arrive. We underwrite 17–20% a year and amortise faster.

  • Value = lower of invoice and verified market value
  • Stressed case: quick sale after removal and resale costs
  • Revalued at least every six months
Risk and controls

Each risk matched to a control

01Purchase & delivery
→
Staged draws, direct payment to the supplier, acceptance test.
02Title & security
→
Title transfer, serial registry, first-ranking charge, insurance.
03Utilisation
→
Monthly usage and revenue reports; cash sweep below 1.25x cover.
04Obsolescence
→
Short tenor, amortisation and a stepping-down advance.
05Residual value
→
Lower of invoice and market value; stressed case.
06Recovery
→
Data-centre access rights and a resale route agreed up front.

Status

Rulebook and structure being finalised; first transaction in preparation.

Funding

BridgingFi capital and co-investment, with bank facility funding subject to lender approval.

Timeline

About 8–10 weeks from term sheet to a live, installed server.

Discuss AI infrastructure credit

Investors can follow GPUL. Operators and buyers can discuss financing.