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Hyperscale Data Announces Progress Toward Leasing AI Compute Capacity at Michigan Data Center Campus and Evaluating Long-Term Expansion Opportunities

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(Moderate)
Rhea-AI Sentiment
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Hyperscale Data (NYSE American: GPUS) reports strong customer interest in AI compute capacity at its Michigan data center campus and is in advanced discussions for power and infrastructure leases.

The company has ordered and paid for key equipment covering about half of its initial 30 MW AI compute development, aiming to speed deployment. Management is evaluating phased long-term expansion opportunities that could eventually support over 300 MW of total power capacity, though these concepts remain preliminary and subject to significant risks and approvals.

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AI-generated analysis. Not financial advice.

Positive

  • Ordered and funded equipment for about 15 MW of initial 30 MW AI capacity
  • Advanced negotiations for AI power and infrastructure lease agreements at Michigan campus
  • Existing Michigan digital infrastructure operations support further AI compute development

Negative

  • No definitive AI infrastructure lease agreements have been finalized yet
  • Potential 300 MW campus expansion subject to approvals, financing and utility agreements
  • Company warns long-term expansion concepts are preliminary with no assurance of viability

Key Figures

Initial AI capacity: 30 MW Pre-ordered share of build: ≈15 MW Potential campus capacity: 300 MW+
3 metrics
Initial AI capacity 30 MW Initial AI compute development initiative at Michigan campus
Pre-ordered share of build ≈15 MW Equipment ordered covers about half of initial 30 MW initiative as stated
Potential campus capacity 300 MW+ Long-term total power capacity potential at Michigan campus

Market Reality Check

Price: $0.1210 Vol: Volume 29,057,503 is roug...
normal vol
$0.1210 Last Close
Volume Volume 29,057,503 is roughly in line with 20-day average 29,554,801 (relative volume 0.98x). normal
Technical Price 0.121 is trading below 200-day MA of 0.33 and 98.79% below the 52-week high 9.98, but 6.8% above the 52-week low 0.1133.

Peers on Argus

Peers show mixed moves: MNTS up 21.88%, SIDU up 12.91%, while AIRI and KITT are ...
2 Up 1 Down

Peers show mixed moves: MNTS up 21.88%, SIDU up 12.91%, while AIRI and KITT are down modestly. Momentum scanner also flags MNTS and SIDU up, PRZO down. With GPUS nearly flat (0.08%), trading appears stock-specific rather than a broad sector rotation.

Previous AI Reports

5 past events · Latest: Apr 20 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Apr 20 Michigan AI hub ramp Positive -2.2% Accelerated Michigan AI data center and robotics hub build-out with 30–300 MW plan.
Apr 20 Robotics AI strategy Positive -2.2% Executive statement on Omnipresent Robotics and embodied AI development using Michigan campus.
Mar 11 2026 AI guidance Positive +7.3% Issued 2026 revenue guidance of $180–$200M tied to AI infrastructure expansion.
Mar 05 askROI model upgrade Positive -4.6% askROI deployed Claude Opus 4.6 to enhance AI reasoning and enterprise analytics.
Oct 23 NVIDIA GPU cloud Positive -0.3% Plan to launch on-demand NVIDIA GPU cloud from Michigan AI campus in 1H 2026.
Pattern Detected

AI-tagged headlines have produced an average next-day move of -0.41%, with 4 divergences vs news tone and only 1 clear alignment.

Recent Company History

Recent AI-focused announcements show Hyperscale Data emphasizing its Michigan AI campus, NVIDIA-powered infrastructure and robotics/embodied AI plans. Prior AI news on Apr 20, 2026 highlighted accelerating the Michigan AI and robotics hub and a strategic robotics statement, while Mar 11, 2026 guidance projected $180–$200 million 2026 revenue. Additional updates covered askROI’s Claude Opus 4.6 deployment and plans for an on-demand NVIDIA GPU cloud from the Michigan campus. Today’s leasing and expansion update builds directly on this Michigan AI infrastructure narrative.

Historical Comparison

-0.4% avg move · AI-tagged news for GPUS has been frequent, with an average next-day move of -0.41%, showing that str...
AI
-0.4%
Average Historical Move AI

AI-tagged news for GPUS has been frequent, with an average next-day move of -0.41%, showing that strong AI narratives have not consistently translated into positive price reactions.

AI-tagged releases trace a progression from announcing the Michigan AI campus and GPU cloud, to detailed 2026 AI-driven revenue guidance, robotics integration, and now concrete steps toward leasing AI compute capacity and exploring long-term campus expansion.

Regulatory & Risk Context

Active S-3 Shelf · $12,768,000
Shelf Active
Active S-3 Shelf Registration 2026-04-27
$12,768,000 registered capacity

An amended S-3/A shelf registers resale of up to 43,011,836 Conversion Shares issuable from secured convertible notes with a principal face amount of $12,768,000, bearing 12.5% interest and maturing December 2, 2027. Conversion occurs at the lower of $0.3235 or 85% of a VWAP measure, subject to a $0.30 floor. The company receives no proceeds from resales; post-conversion shares could reach 481,460,645 versus 438,448,809 as of April 24, 2026.

Market Pulse Summary

This announcement underscores Hyperscale Data’s focus on monetizing its Michigan AI campus by pre-or...
Analysis

This announcement underscores Hyperscale Data’s focus on monetizing its Michigan AI campus by pre-ordering infrastructure for an initial 30 MW AI compute build and exploring expansion beyond 300 MW of total capacity. It follows prior AI-focused updates on Michigan operations, GPU cloud plans and 2026 guidance. Investors may monitor the timing and scale of finalized lease agreements, actual utilization of ordered capacity, capital needs, and any future updates on long-term expansion approvals.

Key Terms

colocation services, megawatts
2 terms
colocation services technical
"active discussions with multiple parties regarding potential leasing arrangements for AI infrastructure, colocation services and high-density power"
Colocation services rent space, power and network hookups in a secure data center where a company can place its own servers close to major networks or trading venues. For investors, colocation matters because being physically closer to an exchange or cloud hub cuts the time it takes for orders and data to travel—like putting your post office next to the factory to speed deliveries—which can improve trading speed, reduce missed opportunities and support predictable infrastructure costs.
megawatts technical
"support approximately half of the Company's initial approximately 30 megawatts ("MWs") AI compute development initiative"
A megawatt is a measure of electrical power equal to one million watts, describing how much electricity a plant or device can generate or use at a single moment. Investors use megawatts to compare the size and earning potential of energy projects—larger capacity usually means more electricity to sell—much like comparing the horsepower of engines to judge how much work they can do. Knowing megawatts helps assess scale, revenue potential, and grid impact of energy assets.

AI-generated analysis. Not financial advice.

LAS VEGAS, May 11, 2026 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), an artificial intelligence ("AI") data center company anchored by Bitcoin ("Hyperscale Data" or the "Company"), today announced continued strong interest in its Michigan data center campus from prospective customers seeking scalable AI infrastructure and high-density NVIDIA GPU-based compute environments.

The Company stated that customer discussions and ongoing negotiations have advanced to a stage where management believes Hyperscale Data will enter into one or more power and infrastructure lease agreements related to AI compute deployments in the coming weeks and months.

Hyperscale Data further announced that it has proactively ordered and paid for key electrical and infrastructure equipment to support the rapid deployment of customer AI compute infrastructure at its Michigan campus. The equipment purchases support approximately half of the Company's initial approximately 30 megawatts ("MWs") AI compute development initiative and are intended to reduce deployment timelines and accelerate customer onboarding.

The Michigan campus currently supports existing digital infrastructure operations, which management believes provides a foundation for the continued development of additional AI compute capacity. The Company believes these infrastructure investments, together with existing operational capabilities, position Hyperscale Data to support large-scale NVIDIA-powered compute deployments and scalable AI workloads.

The Company stated that it is currently engaged in active discussions with multiple parties regarding potential leasing arrangements for AI infrastructure, colocation services and high-density power utilization on the Michigan campus.

Management believes access to scalable power infrastructure has become an increasingly important factor in the deployment of high-density AI compute environments. Hyperscale Data believes that the Michigan campus may support phased long-term expansion opportunities, subject to regulatory approvals, financing, infrastructure availability, engineering studies, utility agreements and other factors. The Company believes the campus may ultimately have the potential to support over 300 MWs of total power capacity.

The Company cautioned that these expansion concepts remain preliminary and subject to numerous risks and uncertainties, and there can be no assurance that such expansion capacity will ultimately be available, developed, financed, approved or economically viable.

"We believe demand for AI compute infrastructure remains exceptionally strong," said Will Horne, the Company's Chief Executive Officer. "As discussions with prospective customers have progressed, we made the strategic decision to order and fund critical infrastructure equipment in advance to support rapid deployment timelines and reduce time-to-power for potential customers. We believe our Michigan campus is well positioned to support large-scale NVIDIA-powered compute environments and scalable AI infrastructure requirements."

Mr. Horne continued, "We believe successful leasing of the initial 30 MWs deployment could create opportunities for additional expansion over time as customers seek access to incremental compute and power capacity. Management believes the combination of scalable power access, existing infrastructure and deployment readiness positions the Michigan campus to participate in the growing demand for AI compute capacity."

"We believe recent announcements and transactions within the AI infrastructure sector, including large-scale AI compute leasing arrangements announced by companies such as Hut 8 Corp., highlight the growing strategic value being placed on scalable power infrastructure and AI-ready data center campuses," said Milton "Todd" Ault, III, Executive Chairman of Hyperscale Data. "As demand for high-density AI compute capacity continues to accelerate, management believes the market is increasingly recognizing the importance of long-term access to power, deployment-ready infrastructure and scalable expansion opportunities. While there can be no assurance Hyperscale Data will achieve similar results or enter into similar arrangements, we believe these industry developments help validate the broader opportunity associated with AI infrastructure platforms."

Mr. Ault continued, "We believe the combination of growing AI infrastructure demand, high-density compute requirements and potential long-term power expansion opportunities positions Hyperscale Data to participate in what we believe is a significant multi-year infrastructure buildout cycle. We are actively positioning the Company to capitalize on this opportunity."

The Company further noted that while negotiations remain ongoing and no definitive agreements have been finalized, management believes the level of customer engagement validates both the strategic value of the campus and the growing demand for scalable AI infrastructure in the United States.

For more information on Hyperscale Data and its subsidiaries, Hyperscale Data recommends that stockholders, investors and any other interested parties read Hyperscale Data's public filings and press releases available under the Investor Relations section at hyperscaledata.com or available at www.sec.gov.

About Hyperscale Data, Inc.

Through its wholly owned subsidiary Sentinum, Inc., Hyperscale Data owns and operates a data center at which it mines digital assets and offers colocation and hosting services for the emerging AI ecosystems and other industries. Hyperscale Data's other wholly owned subsidiary, Ault Capital Group, Inc. ("ACG"), is a diversified holding company pursuing growth by acquiring undervalued businesses and disruptive technologies with a global impact.

Hyperscale Data currently expects the divestiture of ACG (the "Divestiture") to occur in the second quarter of 2027. Upon the occurrence of the Divestiture, the Company would be an owner and operator of data centers to support high-performance computing services, as well as a holder of the digital assets. Until the Divestiture occurs, the Company will continue to provide, through ACG and its wholly and majority-owned subsidiaries and strategic investments, mission-critical products that support a diverse range of industries, including an AI software platform, equipment rental services, defense/aerospace, industrial, automotive and hotel operations. In addition, ACG is actively engaged in private credit and structured finance through Ault Lending, LLC, a licensed lending subsidiary. Hyperscale Data's headquarters are located at 11411 Southern Highlands Parkway, Suite 190, Las Vegas, NV 89141.

On December 23, 2024, the Company issued one million (1,000,000) shares of a newly designated Series F Exchangeable Preferred Stock (the "Series F Preferred Stock") to all common stockholders and holders of the Series C Preferred Stock on an as-converted basis. The Divestiture will occur through the voluntary exchange of the Series F Preferred Stock for shares of Class A Common Stock and Class B Common Stock of ACG (collectively, the "ACG Shares"). The Company reminds its stockholders that only those holders of the Series F Preferred Stock who agree to surrender such shares, and do not properly withdraw such surrender, in the exchange offer through which the Divestiture will occur, will be entitled to receive the ACG Shares and consequently be shareholders of ACG upon the occurrence of the Divestiture.

Forward-Looking Statements

This press release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements generally include statements that are predictive in nature and depend upon or refer to future events or conditions, and include words such as "believes," "plans," "anticipates," "projects," "estimates," "expects," "intends," "strategy," "future," "opportunity," "may," "will," "should," "could," "potential," or similar expressions. Statements that are not historical facts are forward-looking statements. Forward-looking statements are based on current beliefs and assumptions that are subject to risks and uncertainties.

Forward-looking statements speak only as of the date they are made, and the Company undertakes no obligation to update any of them publicly in light of new information or future events. Actual results could differ materially from those contained in any forward-looking statement as a result of various factors. More information, including potential risk factors, that could affect the Company's business and financial results are included in the Company's filings with the U.S. Securities and Exchange Commission, including, but not limited to, the Company's Forms 10-K, 10-Q and 8-K. All filings are available at www.sec.gov and on the Company's website at hyperscaledata.com.

 

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SOURCE Hyperscale Data Inc.

FAQ

What AI leasing progress did Hyperscale Data (GPUS) report for its Michigan data center on May 11, 2026?

Hyperscale Data reported advanced discussions for one or more AI power and infrastructure lease agreements. According to Hyperscale Data, these negotiations follow strong interest from prospective customers seeking high-density NVIDIA GPU compute at its Michigan campus, with potential agreements expected in the coming weeks and months.

How much AI compute capacity is Hyperscale Data (GPUS) initially developing at its Michigan campus?

Hyperscale Data is pursuing an initial AI compute development of approximately 30 MW at its Michigan campus. According to Hyperscale Data, it has already ordered and paid for key electrical and infrastructure equipment supporting about half of this 30 MW initiative to accelerate customer deployment timelines.

What long-term power capacity could the Hyperscale Data (GPUS) Michigan data center potentially support?

Hyperscale Data believes its Michigan campus may ultimately have potential to support over 300 MW of total power capacity. According to Hyperscale Data, this phased long-term expansion would depend on regulatory approvals, financing, infrastructure availability, engineering studies, utility agreements and other important risk factors.

How is Hyperscale Data (GPUS) preparing its Michigan data center for rapid AI infrastructure deployment?

Hyperscale Data has proactively ordered and paid for critical electrical and infrastructure equipment for the Michigan campus. According to Hyperscale Data, these purchases support roughly half of the initial 30 MW AI development and are intended to reduce deployment timelines and speed customer onboarding for NVIDIA-powered compute environments.

What risks and uncertainties did Hyperscale Data (GPUS) highlight about its AI expansion plans in Michigan?

Hyperscale Data cautioned that its long-term Michigan expansion concepts are preliminary and subject to numerous risks. According to Hyperscale Data, there is no assurance that additional capacity will be available, developed, financed, approved or economically viable, and current negotiations have not yet produced definitive lease agreements.

How does Hyperscale Data (GPUS) view market demand for AI compute infrastructure in the United States?

Hyperscale Data believes demand for AI compute infrastructure and high-density GPU capacity remains very strong. According to Hyperscale Data, active customer engagement at its Michigan campus and recent sector transactions suggest growing strategic value for scalable power infrastructure and AI-ready data center campuses across the United States.