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Hyperscale Data Confirms Production of First 30 Omnipresent Robotics OPR-R2 Humanoid Robots Has Begun

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Hyperscale Data (NYSE American: GPUS) announced that subsidiary Omnipresent Robotics has begun production, via a partner, of the first 30 OPR-R2 humanoid robots. These units are expected to be assembled and deployed at the company’s Michigan AI data center campus in Q3 2026.

This initial batch is part of a planned 143-robot fleet supporting a 100,000-square-foot Robotics Research, Testing and Innovation Center. The robots will aid data collection, model training, simulation validation, and embodied AI development using NVIDIA-based infrastructure.

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Positive

  • Production started for first 30 OPR-R2 humanoid robots
  • Initial 30 robots targeted for deployment in Q3 2026
  • Planned fleet totals 143 humanoid robots at Michigan Campus
  • 100,000-square-foot Robotics Research, Testing and Innovation Center planned
  • Laboratory to support training and testing of advanced AI foundation models
  • Use of NVIDIA-based infrastructure for simulation, training and robotics workloads

Negative

  • None.

News Market Reaction – GPUS

-7.50%
14 alerts
-7.50% News Effect
+15.2% Peak Tracked
-7.3% Trough Tracked
-$7M Valuation Impact
$81.60M Market Cap
0.3x Rel. Volume

On the day this news was published, GPUS declined 7.50%, reflecting a notable negative market reaction. Argus tracked a peak move of +15.2% during that session. Argus tracked a trough of -7.3% from its starting point during tracking. Our momentum scanner triggered 14 alerts that day, indicating notable trading interest and price volatility. This price movement removed approximately $7M from the company's valuation, bringing the market cap to $81.60M at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved -7.5% in the session following this news. A negative reaction despite the robotics e...
Analysis

The stock moved -7.5% in the session following this news. A negative reaction despite the robotics expansion would fit this stock’s history of occasional selloffs on seemingly constructive news, such as the -6.95% move after a treasury storage agreement. The announcement outlines deployment of 30 initial humanoid robots toward a 143-unit plan and a 100,000-square-foot robotics center, but the market has previously focused on dilution over strategy, including up to 43,011,836 registered conversion shares and a pro forma share count above 504 million.

Key Figures

Initial robots: 30 OPR-R2 humanoid robots Planned deployment: 143 OPR-R2 humanoid robots Deployment timing: Third quarter of 2026 +5 more
8 metrics
Initial robots 30 OPR-R2 humanoid robots First production batch for Michigan AI data center campus
Planned deployment 143 OPR-R2 humanoid robots Total fleet scheduled for Michigan Campus deployment
Deployment timing Third quarter of 2026 Expected deployment window for first 30 robots
Robotics center size 100,000-square-foot Planned Robotics Research, Testing and Innovation Center
Current share price $0.1721 Pre-news trading on 2026-06-11
Price vs 52-week high -96.47% Relative to $4.88 52-week high
Registered conversion shares 43,011,836 shares S-3/A shelf for convertible note resales
Pro forma share count 504,469,472 shares If all registered Conversion Shares are issued

Historical Context

5 past events · Latest: Jun 10 (Positive)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 10 Tender offer results Positive +3.6% Final cash tender offer results for Class A share repurchase at $0.21.
Jun 09 Tender offer prelims Positive -8.1% Preliminary tender offer results outlining expected share count and spend.
Jun 09 Bitcoin treasury update Neutral -8.1% Disclosure of Bitcoin holdings and strategy for digital asset treasury.
Jun 02 Bitcoin treasury update Positive +30.6% Update on BTC holdings value and intention to deploy allocated cash.
Jun 01 Treasury metal storage Positive -7.0% Agreement for secure vaulting of precious metals treasury holdings.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent news shows mixed reactions: some positive corporate actions (tender offer, Bitcoin strategy) aligned with price gains, while others saw selloffs despite seemingly constructive updates.

Recent Company History

Over the last weeks, Hyperscale Data combined balance-sheet actions and digital-asset positioning. A tender offer to repurchase Class A shares at $0.21 (finalized on June 10, 2026) followed earlier preliminary results. Parallel updates highlighted Bitcoin treasury growth to about 709 BTC and secure storage for 10,000 ounces of silver. Market reactions alternated between strong gains (e.g., +30.6%) and notable drops, underscoring volatile sentiment as the company refines its capital structure and asset strategies ahead of today’s robotics-focused news.

Key Terms

humanoid robots, embodied artificial intelligence, large language models, vision-language-action models, +4 more
8 terms
humanoid robots technical
"production through its partner of the first 30 OPR-R2 humanoid robots"
Machines built with human-like bodies or features—such as a head, arms, and legs—designed to perform tasks, interact with people, or navigate environments similarly to a person. Investors care because these robots can change labor needs, create new markets for products and services, and affect costs and productivity in industries like manufacturing, logistics, healthcare and retail; think of them as programmable workers that can reshape how businesses operate and compete.
embodied artificial intelligence technical
"support the development of embodied artificial intelligence applications, autonomous workflows"
Embodied artificial intelligence is software that controls a physical device—such as a robot, drone, or smart sensor—so it can perceive, move and act in the real world rather than just process data in a computer. Investors care because embedding AI into hardware creates new markets, recurring service and maintenance revenue, and higher upfront costs and regulatory or safety risks, much like putting an engine into a new type of vehicle changes manufacturing and ongoing business models.
large language models technical
"including large language models, vision-language-action models, robotics foundation models"
Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.
vision-language-action models technical
"including large language models, vision-language-action models, robotics foundation models"
AI systems that combine visual input (images or video), written or spoken language, and the ability to decide or carry out tasks — like a person who can see a scene, read instructions, and then act. Investors should watch them because they enable automation of real-world work (for example inspecting goods, guiding robots, or interpreting documents), which can create new revenue streams, reduce costs, change competitive positions, and add technology and regulatory risks.
foundation models technical
"training, testing, and validation of advanced foundation models and frontier AI systems"
Foundation models are very large artificial intelligence systems trained on broad, general data so they can be quickly adapted to many different tasks, like a powerful, general-purpose engine or a Swiss Army knife for software. They matter to investors because they can lower costs and speed innovation across industries, create new products or revenue streams, and change competitive dynamics, while also introducing operational and regulatory risks that can affect a company’s financial outlook.
frontier ai systems technical
"training, testing, and validation of advanced foundation models and frontier AI systems"
Frontier AI systems are the most advanced, high-capability artificial intelligence programs that push the limits of current technology, able to perform complex tasks like generating content, analyzing large datasets, or making decisions with little human guidance. For investors they matter because these systems can create big commercial opportunities, reshape industries and competitive positions, and bring heightened regulatory and safety risks—much like investing in a prototype of a radically faster car that could change transportation but also carries higher uncertainty.
nvidia-based infrastructure technical
"expected to leverage advanced AI computing resources, including NVIDIA-based infrastructure"
Computer systems and data-center setups that rely primarily on NVIDIA’s processors, accelerators and supporting software to run heavy workloads like artificial intelligence, large-scale simulations and fast data processing. Investors care because this choice affects how quickly and cheaply a business can handle growth and advanced applications—similar to picking a high-performance engine for a delivery fleet—while creating dependence on a single supplier and shaping future upgrade and operating costs.
inference technical
"infrastructure, including NVIDIA-based infrastructure, to support simulation, training, inference"
Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Company Expects to Deploy First 30 OPR-R2 Humanoid Robots in Third Quarter of 2026 

LAS VEGAS, June 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 that its wholly owned subsidiary, Omnipresent Robotics, LLC ("Omnipresent Robotics"), has confirmed the beginning of production through its partner of the first 30 OPR-R2 humanoid robots and expects to begin receiving the components and assembling them for deployment at the Company's Michigan AI data center campus (the "Michigan Campus") in the third quarter of 2026.

Hyperscale Data

The initial production represents the first phase of a broader initiative involving 143 OPR-R2 humanoid robots scheduled for deployment throughout the Michigan Campus. The robots are expected to operate from the Company's planned 100,000-square-foot Robotics Research, Testing and Innovation Center and are intended to support the development of embodied artificial intelligence applications, autonomous workflows, and advanced robotics systems.

The initial 30 robots will be assigned to Omnipresent Robotics' Model Training Laboratory (the "Laboratory"), where they will work side-by-side with AI infrastructure personnel and data center employees. The robots will assist with data collection, model training, simulation validation, facility operations, and the development of next-generation embodied AI systems.

The Laboratory is being designed to support the training, testing, and validation of advanced foundation models and frontier AI systems, including large language models, vision-language-action models, robotics foundation models, and other forms of physical AI. The Company believes the integration of humanoid robots with high-performance AI computing infrastructure will create a unique environment for developing and evaluating next-generation AI systems capable of operating in real-world environments.

As part of its broader embodied AI strategy, Hyperscale Data intends to utilize its Michigan Campus to generate large-scale real-world training data through Omnipresent Robotics and its fleet of humanoid robots. The Company believes that high-quality real-world data is essential to advancing the next generation of AI systems and robotics applications.

The Laboratory is expected to leverage advanced AI computing resources, including NVIDIA-based infrastructure, to support simulation, training, inference, and robotics workloads. The Company believes the combination of AI infrastructure, humanoid robotics, simulation environments, and real-world data collection will position its Michigan Campus as a significant center for embodied AI research, testing, and commercialization.

"We believe that physical AI is an incredibly important aspect in the future of artificial intelligence," said Milton "Todd" Ault III, Executive Chairman of Hyperscale Data. "While today's leading AI models excel at reasoning, language, and content generation, tomorrow's AI systems must be capable of understanding and interacting with the physical world. Our Michigan Campus is being developed to help bridge that gap by creating a large-scale environment where humanoid robots and advanced AI models can continuously learn, train, and improve."

As additional robots are produced and eventually deployed, Hyperscale Data, through Omnipresent Robotics, expects to expand robotics activities across research, testing, training, logistics, facility operations, customer demonstrations, and commercial application development. The Company believes its Michigan Campus provides a unique opportunity to integrate AI infrastructure, robotics development, and high-performance computing into a single scalable platform.

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 did Hyperscale Data (NYSE American: GPUS) announce about OPR-R2 humanoid robot production on June 11, 2026?

On June 11, 2026, Hyperscale Data announced production has begun on the first 30 OPR-R2 humanoid robots. According to Hyperscale Data, these units will be assembled and deployed at its Michigan AI data center campus beginning in the third quarter of 2026.

How many Omnipresent Robotics OPR-R2 humanoid robots does Hyperscale Data (GPUS) plan to deploy at its Michigan Campus?

Hyperscale Data plans a total deployment of 143 OPR-R2 humanoid robots across its Michigan Campus. According to Hyperscale Data, the first 30 robots represent the initial production phase within a broader multi-stage initiative for embodied AI research and operations.

When will the first 30 OPR-R2 humanoid robots from Hyperscale Data (GPUS) be deployed?

The first 30 OPR-R2 humanoid robots are expected to be deployed in the third quarter of 2026. According to Hyperscale Data, these robots will be assembled and used at the Michigan AI data center campus within its new Robotics Research, Testing and Innovation Center.

What is the purpose of Hyperscale Data’s Robotics Research, Testing and Innovation Center for GPUS investors?

The Robotics Research, Testing and Innovation Center is planned as a 100,000-square-foot hub for embodied AI and robotics. According to Hyperscale Data, it will host OPR-R2 robots, support data collection, model training, simulation validation, and testing of advanced foundation and frontier AI systems.

How will Hyperscale Data (GPUS) use NVIDIA-based infrastructure with its OPR-R2 humanoid robots?

Hyperscale Data expects to use NVIDIA-based infrastructure to power simulation, training, inference, and robotics workloads. According to Hyperscale Data, combining high-performance AI computing with humanoid robots and real-world data collection should support development of next-generation embodied AI and robotics applications at the Michigan Campus.

What activities will Omnipresent Robotics’ OPR-R2 humanoid robots support at Hyperscale Data’s Michigan Campus?

The OPR-R2 robots are intended to support data collection, model training, simulation validation, and facility operations. According to Hyperscale Data, they will work with AI infrastructure staff in a Model Training Laboratory focused on advanced robotics systems and embodied AI development across research, testing, training, and commercial applications.