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Hyperscale Data Issues Strategic Statement by Its Executive Chairman on Omnipresent Robotics and U.S. Based Robotics Infrastructure and Embodied AI Development

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Hyperscale Data (NYSE American: GPUS) released an Executive Chairman statement outlining Omnipresent Robotics' long-term plan to develop, train, and deploy embodied AI and humanoid robots in the U.S.

The company highlights a partnership with AGIBOT, plans for a Michigan campus for real-world training, integration with Hyperscale Data compute, and intent to sell U.S.-based embodied AI data while keeping data domestic.

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News Market Reaction – GPUS

-2.21%
1 alert
-2.21% News Effect

On the day this news was published, GPUS declined 2.21%, reflecting a moderate negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $0.1502 Vol: Volume 41869673 vs 20-day...
normal vol
$0.1502 Last Close
Volume Volume 41869673 vs 20-day average 49340506, at about 0.85x typical trading activity. normal
Technical Shares trade well below the 200-day MA of 0.4 and are 98.46% below the 52-week high, despite being 20.28% above the 52-week low.

Peers on Argus

GPUS showed a 5.21% gain while most tracked peers (MNTS, AIRI, KITT, SIDU) decli...

GPUS showed a 5.21% gain while most tracked peers (MNTS, AIRI, KITT, SIDU) declined between about -2% and -6%; only CVU was positive, suggesting today’s move is stock-specific rather than an industry-wide shift.

Previous AI Reports

5 past events · Latest: Mar 11 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Mar 11 2026 AI guidance Positive +7.3% Issued strong 2026 revenue guidance tied to AI infrastructure expansion.
Mar 05 AI platform upgrade Positive -4.6% askROI deployed Claude Opus 4.6 to enhance AI reasoning and agents.
Oct 23 GPU cloud launch Positive -0.3% Announced on-demand NVIDIA GPU cloud from Michigan AI campus.
Sep 26 Michigan AI build-out Positive +19.6% Began major Michigan data center conversion for NVIDIA Blackwell AI.
Sep 04 Tokenized AI platform Positive -2.2% Subsidiary advanced StableShare, an AI-powered tokenized securities platform.
Pattern Detected

AI-related announcements have produced mixed reactions, with 3 divergences and 2 alignments; the stock has sometimes sold off or been flat on otherwise positive AI news.

Recent Company History

Over the past several AI-focused updates, Hyperscale Data has emphasized rapid scaling of its Michigan AI campus, NVIDIA GPU infrastructure, and new AI platforms. Events like the March 11, 2026 revenue guidance of $180–$200 million and the NVIDIA Blackwell build-out drove notable upside, while software and platform launches, such as StableShare and askROI upgrades, saw muted or negative reactions. Today’s embodied AI and robotics strategy statement fits this pattern of AI expansion centered on Michigan infrastructure and higher-value workloads.

Historical Comparison

+3.9% avg move · Across five AI-tagged releases, GPUS moved on average 3.94%. Today’s 5.21% pre-news gain is somewhat...
AI
+3.9%
Average Historical Move AI

Across five AI-tagged releases, GPUS moved on average 3.94%. Today’s 5.21% pre-news gain is somewhat stronger but still broadly consistent with prior AI reactions.

AI-tagged news has traced a path from Michigan AI infrastructure build-out and NVIDIA deployments, to revenue guidance tied to AI, and then software and platform launches. The new robotics and embodied AI strategy extends this progression from pure compute toward physical AI systems and data generation loops linked to the Michigan campus.

Regulatory & Risk Context

Active S-3 Shelf · $12,768,000
Shelf Active
Active S-3 Shelf Registration 2025-12-31
$12,768,000 registered capacity

An effective S-3 shelf dated 2025-12-31 covers resale of up to 43,011,836 Class A shares tied to secured convertible notes with $12,768,000 principal, funded with $12,000,000 in cash, bearing 12.5% interest and convertible at prices linked to VWAP with a $0.30 floor. The shelf has seen 2 424B5 usages, indicating ongoing potential dilution from note conversions and registered resale activity.

Market Pulse Summary

This announcement details Hyperscale Data’s long-term plan to link embodied AI and humanoid robotics...
Analysis

This announcement details Hyperscale Data’s long-term plan to link embodied AI and humanoid robotics with its U.S.-based compute and data infrastructure, centered on Michigan. Prior AI-tagged news has focused on GPU build-outs, AI revenue guidance and new software platforms, with mixed market reactions. Investors may track execution on robotics deployments, AI data monetization, capital-raising via existing convertible structures, and progress against previously issued 2026 growth targets.

Key Terms

embodied ai, humanoid robotic systems, vision-language-action model
3 terms
embodied ai technical
"vision for the development, training, and deployment of embodied AI and humanoid robotic"
Embodied AI is artificial intelligence built into a physical device or robot that can sense, move, and interact with the real world rather than just run in software on a server. For investors, it matters because adding a “body” turns AI into products that require manufacturing, maintenance, sensors and software updates, creating different revenue streams, capital needs, safety and regulatory risks, and clearer paths to recurring service income—like software that also sells the hardware it runs on.
humanoid robotic systems technical
"planned deployment of humanoid robotic systems, development of real-world training"
Humanoid robotic systems are machines built to look and move like humans, combining hardware (limbs, sensors) and software to perform tasks ranging from lifting and assembly to customer interaction and personal assistance. Investors track them because they can replace or augment human labor, create new product and service markets, and carry development, safety and regulatory risks that affect costs, adoption speed and potential returns — think of them as programmable workers whose rollout changes productivity and labor dynamics.
vision-language-action model technical
"A vision-language-action model cannot learn torque, friction, occlusion or recovery"
A vision-language-action model is an artificial intelligence system that combines what it sees with written or spoken language to understand a scene and decide or suggest physical actions. Think of it like an assistant that looks at a room, reads instructions, and then tells a robot or software what to do. For investors, these systems can enable new products, boost automation and efficiency, alter labor needs, and introduce safety or regulatory risks that affect company value.

AI-generated analysis. Not financial advice.

LAS VEGAS, April 20, 2026 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), an artificial intelligence ("AI") data center company anchored by Bitcoin ("Hyperscale Data" or the "Company"), today released a statement issued by its Executive Chairman, Milton "Todd" Ault, III, on behalf of its wholly owned subsidiary Omnipresent Robotics, LLC ("Omnipresent"), outlining the Company's long-term vision for the development, training, and deployment of embodied AI and humanoid robotic systems in the United States.

The statement reflects the Company's perspective on the importance of maintaining domestic capability across robotics supply chains, training environments, and real-world deployment systems, particularly as global competition intensifies in AI and automation.

Omnipresent is currently advancing its robotics initiative, including planned deployment of humanoid robotic systems, development of real-world training environments, and integration with Hyperscale Data's compute infrastructure to support embodied AI model development.

The following is the Executive Chairman's full statement on Omnipresent:

"We have seen this movie before. America invents something big. Then the most important aspect is lost and recaptured elsewhere. The American factory is shut down. The supply chain disappears. The practical know-how goes with it. At Hyperscale Data, we are not interested in repeating that story with respect to robotics.

Embodied AI sounds abstract until a machine hits a real workplace. Then it becomes very concrete in short order. Floors are uneven. Lighting changes. People work around the robot instead of for the robot. A task that looked easy in a demo turns into twenty small failure modes by lunch. That part matters more than the keynote ever will.

So that is where we put the company.

We hold the highest partner tier with AGIBOT PTE. LTD. ("AGIBOT"), a developer of intelligent robotics technology, and we are the first American company to reach it. AGIBOT is one of the leading humanoid platforms in the world, and that partnership gives us direct access to the hardware, supply chain and platforms that this market will be built on.

We are building in Michigan because Michigan still has industrial muscle memory. We are developing a campus where robots can be trained to perform real jobs, tested until the weak points show themselves, assembled here, and sent back into the field with software that actually fits the work. That will create engineers, technicians, operators, manufacturing jobs, and a place where people learn by doing instead of talking.

Some customers want the robot and the software development kit. Others want a model trained on our compute for their floor, their tools, and the way their team actually works. Some want the whole system deployed and supported. All of that is the same business to us, because each job enhances our ability to improve the next project and make it more productive.

The data matter too. We plan to sell embodied AI data, evaluation data, and scenario data to frontier labs. Better models are going to need contact with the physical world. A vision-language-action model cannot learn torque, friction, occlusion or recovery from a corpus of words and pictures. So we intend to collect the kind of data that comes from real work, real failures, and repeated attempts to get the machine to do the job right. Additionally, we intend to pursue every effort to ensure that all of that data never leave the U.S.

What we are building is a loop: Supply chain, computing, training, evaluation, assembly, deployment, data creation, then back into training again. Miss one part, and you end up dependent on somebody else for the part that decides whether the system actually works.

We want that loop in America. We want a serious piece of it in Michigan. We want to leave behind capability, jobs, and machines that can hold up in the real world."

Sincerely, Milton "Todd" Ault, III

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, medical/biopharma and hotel operations. In addition, ACG is actively engaged in private credit and structured finance through 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.

 

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/hyperscale-data-issues-strategic-statement-by-its-executive-chairman-on-omnipresent-robotics-and-us-based-robotics-infrastructure-and-embodied-ai-development-302746899.html

SOURCE Hyperscale Data Inc.

FAQ

What did Hyperscale Data (GPUS) announce about Omnipresent Robotics on April 20, 2026?

Hyperscale Data announced a strategic statement on domestic embodied AI and humanoid robotics development. According to Hyperscale Data, Omnipresent will integrate robots with the company's compute, build a Michigan training campus, and focus on U.S.-based data and deployment.

What is the nature of Hyperscale Data's partnership with AGIBOT mentioned by GPUS?

Hyperscale Data says it holds the highest partner tier with AGIBOT, granting direct hardware and platform access. According to Hyperscale Data, this status gives access to AGIBOT's humanoid platform, supply chain, and technology for U.S. deployment and training.

Why is Hyperscale Data building a robotics campus in Michigan, per the GPUS statement?

Hyperscale Data aims to leverage Michigan's industrial expertise to train and test robots in real jobs. According to Hyperscale Data, the campus will enable assembly, repeated testing, and workforce training to improve real-world robot performance.

How will Hyperscale Data (GPUS) use the data collected from embodied AI and robots?

Hyperscale Data plans to sell embodied AI, evaluation, and scenario data to frontier labs while keeping data in the U.S. According to Hyperscale Data, this data comes from real failures, torque and friction measurements, and repeated task attempts.

What deployment options does Omnipresent Robotics offer customers, according to GPUS?

Customers can buy hardware, development kits, models trained on Hyperscale compute, or fully deployed supported systems. According to Hyperscale Data, each option helps improve subsequent projects by capturing real-world use and feedback.

What is Hyperscale Data's stated goal for U.S. robotics capability in the GPUS statement?

Hyperscale Data wants a complete domestic loop of supply chain, computing, training, evaluation, assembly, and deployment. According to Hyperscale Data, missing any part risks dependence on external parties and undermines practical system reliability.