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AI & data centers

Bring your AI infrastructure project into focus.

Discuss a U.S. GPU, server, or data center equipment project and a possible introduction to a financing partner.

At a glance

GPU and data-center financing starts with a defined hardware scope, applicant, supplier and installation site. Separate power, cooling, hosting and software from the equipment budget. No standard rack payment or residual value is assumed.

Illustration of a connected neural network

A clear equipment scope comes first

For a GPU system or rack-scale deployment, outline the hardware configuration, supplier, estimated budget, delivery schedule, and installation location. Separate the equipment from hosting, software, power, cooling, and other services so the partner can assess the requested scope.

Plan beyond the delivery date

Include the intended use period and what you expect to happen afterward. A partner may ask about installation, acceptance, maintenance, upgrades, and removal. Any proposed purchase or return option must be set out in the agreement.

  • Who will sign and use the equipment?
  • Where will the equipment be installed?
  • Is the supplier quote final or preliminary?
  • Which costs are hardware and which are services?

No predetermined financing outcome

We do not publish standard GPU payment estimates or residual values. We introduce the project for partner review; availability, structure, and any terms depend on that review. A product name or configuration is not evidence of financing eligibility.

Practical project guides

Start with your project

Tell us what you have in mind.

Equipment, timing, and location. Start with the essentials.

Discuss your project