TL;DR · 30-second read
The Short Version
A small company building a data center for artificial intelligence in Michigan is paying for it partly by selling bitcoin.
Hyperscale Data sold about 100 bitcoin and set up a loan that uses its remaining coins as a guarantee, at roughly 4.5% to 5% interest. The building already has a customer lined up, under a deal that could bring in more than $1.2 billion over 20 years.
The surprise is that a signed customer does not pay for construction. The money has to be found first.
Hyperscale Data, Inc. (NYSE American: GPUS) said on July 30, 2026 that it has sold approximately 100 bitcoin and put the proceeds directly into its Michigan AI data center campus. It has also set up a credit facility that lets it borrow at variable rates, expected at about 4.5% to 5.0%, with bitcoin pledged as collateral.
The money will fund construction and long-lead equipment for a previously announced master services agreement with an unnamed neocloud customer. That agreement covers about 20 megawatts of critical AI compute capacity for an initial 10-year term. The company says it could exceed $1.2 billion in revenue if the customer exercises two five-year extensions, and $3.0 billion if the customer also takes an optional 32 additional megawatts.
Executive Summary
Hyperscale Data is turning part of its bitcoin treasury into data center capacity. It is doing this in two ways: selling some coins outright and borrowing against the rest. Management calls the Michigan campus one of its highest-priority long-term investments. It presents the plan as a way to avoid issuing new shares at what Executive Chairman Milton “Todd” Ault III calls the company’s current market valuations.
The announcement matters beyond one small-cap company because of what it shows about how AI infrastructure gets funded. Hyperscale Data already has a signed long-term customer, yet it still reached for its most liquid asset to pay for construction. The company says the alternatives were dilutive equity or “onerous” debt. A contract with a customer and the capital to build for that customer are separate problems, and the second one sets the pace.
The trade-off is real. Borrowing against bitcoin is cheap only while bitcoin holds its value. The company has not disclosed the facility’s size, terms or collateral requirements, the campus’s total budget, or a delivery date.
A Signed AI Customer Is Not a Construction Budget
The master services agreement at the center of this plan is substantial on paper. It covers about 20 megawatts of critical AI compute capacity, meaning the power delivered to the computing equipment itself, excluding cooling and other overhead. The initial term is 10 years, and the customer may choose to add two five-year extensions. The contract reaches the “in excess of $1.2 billion” the company cites only if both extensions are exercised. Spread across 20 years and 20 megawatts, that is roughly $3 million per megawatt per year, or about $250 per kilowatt per month.
That revenue arrives only after the capacity is built and handed over. Before then, the landlord has to pay for the building, the electrical and cooling plant, and what the release calls “long-lead equipment.” These are items such as large transformers and switchgear that typically must be ordered well in advance. Hyperscale Data says proceeds from the roughly 100 bitcoin it sold are being invested “directly” into this work, and that the credit facility will help fund it further.
The telling detail is how the company describes its alternatives. It says the bitcoin route reduces reliance on “third party short-term equity financing or onerous debt financing.” Ault says that at current valuations, bitcoin is a more attractive source of capital than issuing stock. A neocloud is a cloud provider that specializes in renting out GPU computing for AI. Having signed one as a customer had not, by itself, made construction money cheap enough for management. The company has not said whether it sought project debt secured by the contract itself. For smaller developers the operational lesson is that the customer queue and the capital queue are separate. The company’s own word for what the new funding does is “accelerate,” which means the capital queue is what sets the build schedule.
Why Bitcoin Became the Cheaper Money
The credit facility carries variable rates expected at about 4.5% to 5.0%, secured by pledged bitcoin. For comparison, the company’s listed 13.00% Series D Cumulative Redeemable Perpetual Preferred Stock pays holders 13% a year. Against that benchmark, and against selling common shares at a valuation management considers unattractive, borrowing against an asset already on the balance sheet looks inexpensive.
Lenders accept bitcoin as collateral because it trades around the clock in deep markets and can be sold quickly if a loan goes bad. That lets them lend on terms closer to secured lending than to speculative construction debt. The company keeps most of its coins and their potential upside. Ault calls the treasury, which the company recently said had reached approximately $71 million in bitcoin, “a significant source of financial flexibility.” Chief Executive Officer William Horne describes the move as “shifting one balance sheet asset for another.”
That description is accurate as far as it goes. The company is converting a liquid, volatile asset into an illiquid, long-lived one that is meant to produce contracted cash flow. Whether the exchange creates value depends on the build cost, the delivery date and whether the customer exercises its extensions. The release quantifies none of these.
Volatile Collateral Behind a Long-Lived Asset
Bitcoin-backed loans typically advance only a fraction of the collateral’s market value. They usually require the borrower to post more collateral or repay if the price falls far enough. Hyperscale Data has not stated the facility’s size, lender, loan-to-value ratio or margin terms, so the scale of that exposure cannot be measured. The structural mismatch is clear, though. A data center takes years to pay back, while the collateral behind its funding is repriced every minute.
The variable rate adds a second moving part. The 4.5% to 5.0% range is an expectation, not a fixed cost. Rising rates would increase the cost of carrying debt that funds an asset whose revenue is locked into a long-term contract. Neither risk is unusual alone. Together, they are what investors should weigh against the stated benefit of avoiding dilution.
Why Speed Carries a Premium
The contract gives the customer a right to 32 additional megawatts. If that right is exercised within the first two years and the contract runs through both extensions, the company expects total revenue above $3.0 billion across about 52 megawatts. That is roughly the same per-megawatt economics as the base deal. Because the expansion window is limited in time, any delay on the first 20 megawatts shortens the period in which the larger deal can materialize. That is a concrete reason to pay for speed with the most readily available capital.
The company is also narrowing its focus. It expects to divest Ault Capital Group, its private equity and operating-company arm, in the second quarter of 2027. What remains would own and operate data centers and hold digital assets. The Michigan campus is the asset that narrower company will be judged on, which helps explain why management ranks it at the top of its capital priorities.
Background
Hyperscale Data, Inc. trades on NYSE American under the ticker GPUS and describes itself as an AI data center company anchored by bitcoin. Its subsidiary Sentinum owns and operates a data center where it mines digital assets and offers colocation and hosting. Its other subsidiary, Ault Capital Group, is a hybrid private equity firm and operating company with holdings in financial services, industrial, defense, hospitality and other sectors. The company expects to divest Ault Capital Group in the second quarter of 2027, leaving a business centered on data centers and digital assets.
A number of public companies now hold bitcoin as a treasury asset, and some bitcoin miners have been repurposing power and sites for AI computing. AI workloads need dense electrical and cooling infrastructure, and specialized GPU cloud providers, often called neoclouds, increasingly lease that capacity from third-party landlords under long-term contracts. Source: Hyperscale Data Repurposes Bitcoin Treasury Strategy to Accelerate Development of Michigan AI Data Center (PR Newswire, July 30, 2026): Hyperscale Data announces a bitcoin sale and a bitcoin-backed credit facility to fund its Michigan AI campus. Primary sources: Hyperscale Data Form 8-K (filed September 18, 2026); Exhibit 99.1: Hyperscale Data Declares Monthly Cash Dividend on 13.00% Series D and 10.00% Series E Preferred Stock (September 18, 2026).Sources