What is Hyperscale Data, Inc. stock?
GPUS is the ticker symbol for Hyperscale Data, Inc., listed on AMEX.
Founded in 1969 and headquartered in Las Vegas, Hyperscale Data, Inc. is a Electrical Products company in the Producer manufacturing sector.
What you'll find on this page: What is GPUS stock? What does Hyperscale Data, Inc. do? What is the development journey of Hyperscale Data, Inc.? How has the stock price of Hyperscale Data, Inc. performed?
Last updated: 2026-05-13 17:29 EST
About Hyperscale Data, Inc.
Quick intro
Hyperscale Data, Inc. (NYSE American: GPUS), formerly Ault Alliance, is a diversified holding company focused on AI data center solutions and high-performance computing.
Core Business: The company operates high-capacity data centers supporting AI, machine learning, and digital asset mining. Its segments include Sentinum (data centers), TurnOnGreen (EV charging/electronics), and various industrial and fintech services.
Performance: For the fiscal year ending December 31, 2025, preliminary results show total revenue of approximately $102 million, a 4% decrease year-over-year. This decline was primarily due to a 30% drop in crypto mining revenue following the Bitcoin halving, leading to a net loss of roughly $66 million.
Basic info
Hyperscale Data, Inc. Business Introduction
Hyperscale Data, Inc. (NYSE American: GPUS), formerly known as BitNile Holdings and Ault Alliance, is a diversified holding company that has strategically pivoted its primary focus toward data center operations and infrastructure supporting Artificial Intelligence (AI). The company specializes in acquiring and developing high-density data centers tailored for high-performance computing (HPC) and GPU-intensive workloads.
Business Segments Detailed
1. Data Center and Colocation: This is the company's core growth engine. Through its subsidiary, Sentinum, Inc., Hyperscale Data operates a flagship facility in Michigan. The company is aggressively transitioning its infrastructure from legacy cryptocurrency mining to hosting "AI-ready" environments. This includes upgrading power density, cooling systems, and networking to accommodate advanced GPU clusters (such as NVIDIA H100s).
2. Artificial Intelligence Infrastructure: Hyperscale Data provides the physical "home" for AI. They lease space, power, and cooling to third-party providers or enterprise customers who require massive computational power for Large Language Model (LLM) training and inference.
3. Specialized Real Estate & Logistics: The company leverages its real estate portfolio to secure strategic locations with access to substantial power grids—the most critical bottleneck in the current AI era.
4. Legacy & Subsidiary Holdings: While the primary focus is now data centers, the company maintains interests in specialized electronics manufacturing (via Gresham Worldwide) and various commercial lending and investment activities through Ault Lending, although these are increasingly treated as non-core assets.
Business Model Characteristics
Asset-Heavy with High Scalability: The model relies on owning the physical infrastructure and power rights. Once a data center is operational, the incremental cost of adding customers is low compared to the high recurring revenue from long-term lease agreements.
Power-Centric Strategy: In the current market, "Power is the new Oil." Hyperscale Data’s model focuses on securing "behind-the-meter" or low-cost energy contracts to provide competitive pricing for energy-intensive AI startups.
Core Competitive Moat
· Power Capacity: Access to a 300MW+ pipeline of power in key locations provides a significant barrier to entry, as new power allocations from utility companies can take years to approve.
· Rapid Retooling: Unlike legacy data centers designed for simple web hosting, Hyperscale Data is specifically re-engineering its Michigan site for liquid cooling and high-density power—essential for modern AI GPUs.
· Strategic Pivot: By rebranding and divesting non-core assets, the company is streamlining its capital structure to become a "pure-play" AI infrastructure vehicle.
Latest Strategic Layout
As of Q3 2024 and heading into 2025, the company has focused on a "Data Center First" strategy. This includes the planned divestiture of non-core assets to fund the expansion of their Michigan facility to its full potential capacity. The recent name change to Hyperscale Data, Inc. and the ticker change to GPUS (effective late 2024) signal a total commitment to the AI hardware ecosystem.
Hyperscale Data, Inc. Development History
The history of Hyperscale Data is characterized by a series of radical transformations, moving from traditional manufacturing to cryptocurrency, and finally to AI infrastructure.
Development Stages
Stage 1: The Industrial Foundation (Pre-2017): Originally operating under names like DPW Holdings, the company focused on power system solutions and defense electronics. It established a footprint in specialized engineering but remained a small-cap industrial player.
Stage 2: The Blockchain Expansion (2017 - 2021): Recognizing the rise of digital assets, the company (then BitNile) invested heavily in Bitcoin mining hardware. It acquired the Michigan data center specifically to house thousands of miners, taking advantage of local power costs.
Stage 3: Diversification & Conglomerate Era (2022 - 2023): Under the name Ault Alliance, the company expanded into diverse sectors including hotels, commercial lending, and even fast food. While this grew the top-line revenue, it led to a complex balance sheet that investors found difficult to value.
Stage 4: The AI Pivot (2024 - Present): Following the AI explosion sparked by generative models, leadership realized the inherent value of their Michigan facility was not in mining Bitcoin, but in hosting AI GPUs. The company began a massive restructuring, rebranded to Hyperscale Data, and adopted the ticker GPUS to align with the AI compute market.
Analysis of Success and Challenges
Success Factors: The company’s primary success lies in its agility. The management's ability to pivot toward the most lucrative tech trends (first Crypto, then AI) allowed it to survive where traditional industrial firms failed. Securing the Michigan site with massive power capacity proved to be an accidental masterstroke of foresight.
Challenges/Obstacles: The company has faced significant volatility in its stock price due to its past association with the crypto market. Its history as a "conglomerate" created a "complexity discount" on its valuation, which the current management is attempting to rectify through divestitures and a sharpened focus on the data center niche.
Industry Introduction
The Data Center industry is currently undergoing a "generational shift" driven by the transition from General Purpose Computing to Accelerated Computing.
Industry Trends & Catalysts
1. The AI Arms Race: Hyperscale providers (Microsoft, Google, AWS) and Tier-2 providers are in a race to secure "Compute-Ready" real estate. Demand for data center capacity is projected to grow at a CAGR of roughly 12-15% through 2030, with AI-specific demand growing even faster.
2. Power Scarcity: In 2024, the primary constraint for the AI industry moved from "chip supply" to "power availability." Data centers now require 50kW to 100kW per rack, compared to 5kW-10kW for traditional servers.
3. Liquid Cooling Adoption: New GPUs generate so much heat that traditional air cooling is insufficient. The industry is rapidly shifting toward direct-to-chip liquid cooling.
Competition and Market Landscape
| Competitor Type | Key Players | Market Position |
|---|---|---|
| Hyperscalers | Equinix, Digital Realty | Global giants with massive footprints; focus on retail and enterprise colocation. |
| AI-Specialized | CoreWeave, Lambda Labs | Direct competitors in GPU cloud; often the primary tenants for companies like Hyperscale Data. |
| Regional/Niche | Applied Digital, Soluna | Similar to Hyperscale Data; focused on converting power-rich sites into AI compute hubs. |
Market Position of Hyperscale Data
Hyperscale Data currently occupies a specialized niche as an infrastructure provider. It does not compete directly with NVIDIA in chip design, nor does it compete with Microsoft in software. Instead, it acts as the "Landlord of AI."
According to industry reports (e.g., JLL Data Center Outlook 2024), vacancy rates in major data center hubs like Northern Virginia are at record lows (below 1%). This puts Hyperscale Data in a favorable position, as its Michigan facility offers a viable alternative for customers shut out of traditional, over-capacity markets. The company’s ability to offer large-scale power blocks makes it an attractive partner for AI cloud service providers looking to scale quickly.
Sources: Hyperscale Data, Inc. earnings data, AMEX, and TradingView
Hyperscale Data, Inc. Financial Health Rating
Hyperscale Data, Inc. (GPUS) is currently in a high-stakes transition phase, pivoting from a diversified holding company (formerly Ault Alliance) to a pure-play AI data center and Bitcoin infrastructure provider. While revenue growth has shown significant acceleration in early 2026, the company's historical financial metrics reflect deep structural losses and a strained balance sheet typical of a distressed micro-cap entity.
| Metric Category | Key Data (FY 2025 / Q1 2026) | Rating Score | Visual Rating |
|---|---|---|---|
| Solvency & Liquidity | Altman Z-Score: -5.22 (Distress); Current Ratio: 0.31 - 0.89 | 45 / 100 | ⭐️⭐️ |
| Profitability | Net Margin: -73.5%; Annual Loss: -$75M (FY 2025) | 40 / 100 | ⭐️⭐️ |
| Growth Potential | Q1 2026 Rev: ~$44M (+76% YoY); 2026 Target: $180M-$200M | 85 / 100 | ⭐️⭐️⭐️⭐️ |
| Balance Sheet Assets | Total Assets: ~$323M; Bitcoin Treasury: ~$53.1M (April 2026) | 70 / 100 | ⭐️⭐️⭐️ |
| Overall Financial Health | High execution risk balanced by aggressive asset accumulation | 55 / 100 | ⭐️⭐️½ |
GPUS Development Potential
Strategic Business Transformation
Hyperscale Data has undergone a major rebranding and strategic pivot, moving away from its legacy as Ault Alliance. The company's future value is now tied to its Sentinum subsidiary, which operates a 617,000 sq. ft. data center in Michigan. This facility is being upgraded from pure Bitcoin mining to AI/HPC (High-Performance Computing) colocation, leveraging 30 MW of current power with a roadmap to reach up to 340 MW.
2026-2027 Strategic Roadmap
The company has laid out a clear timeline for structural simplification:
- Q2 2026: Scale AI robotics initiatives through partnerships (e.g., AGIBOT) and launch "Omnipresent Robotics" for teleoperated data collection.
- FY 2026 Revenue Guidance: Management projects $180 million to $200 million in revenue, an 80-100% increase over 2025.
- Q2 2027: Planned divestiture of Ault Capital Group (ACG) to become a specialized AI infrastructure firm.
Bitcoin Treasury Strategy
Drawing parallels to "MicroStrategy-lite," Hyperscale Data is aggressively building a Bitcoin treasury. As of late April 2026, the company held approximately 675.35 BTC (valued at ~$53.1 million), with a stated goal of reaching a $100 million Bitcoin treasury. This serves as a liquid "anchor" for its balance sheet and a catalyst for valuation during crypto bull cycles.
New Business Catalysts
The recent integration of Gresham Worldwide and Ault Lending has already fueled a 76% year-over-year revenue surge in Q1 2026. The move into AI robotics and liquid-cooled GPU hosting (supporting NVIDIA H100/Blackwell chips) positions the company in high-margin sectors compared to commodity crypto mining.
Hyperscale Data, Inc. Pros and Risks
Company Advantages (Pros)
- Rapid Top-line Growth: Preliminary Q1 2026 revenue of $44 million indicates the company is successfully monetizing its transition and legacy assets.
- Undervalued Asset Base: Trading at a Price-to-Book (P/B) ratio of approximately 0.33 to 0.48, the stock trades significantly below its reported net asset value per share (~$0.35).
- High-Demand Sector: Exposure to the AI infrastructure and GPU hosting market provides a tailwind of secular demand from enterprise customers.
- Significant Institutional/Insider Ownership: Combined ownership exceeds 80%, suggesting alignment between management and long-term shareholders.
Company Risks (Risks)
- Severe Dilution Risk: The company frequently uses convertible preferred stock and shelf registrations (e.g., $8.6M shelf in Jan 2026) to fund operations, which historically devalues common shares.
- Ongoing Net Losses: Despite high revenue growth, the company remains deeply unprofitable, reporting a -$75 million loss for 2025.
- Bankruptcy Concerns: An Altman Z-Score in the "distress zone" indicates that without sustained capital raises or a rapid turn to profitability, the company faces liquidity crises.
- Complexity & Execution: Managing a "sprawling" mix of crypto, cranes, hotels, and AI creates significant operational overhead and execution risk during the divestiture process.
How Do Analysts View Hyperscale Data, Inc. and GPUS Stock?
Entering the mid-2024 to early 2025 period, market sentiment regarding Hyperscale Data, Inc. (formerly known as BitNile Holdings and Ault Alliance) and its stock ticker GPUS reflects a high-risk, high-reward profile. Following its strategic rebranding and shift toward specialized AI data center infrastructure, analysts are closely monitoring its transition from a diversified holding company to a pure-play infrastructure provider. Below is a detailed breakdown of the analyst consensus and institutional perspective:
1. Core Institutional Views on the Company
Strategic Pivot to AI Infrastructure: Analysts note that the company’s decision to rebrand to Hyperscale Data and change its ticker to GPUS is a deliberate move to align with the booming demand for Generative AI and high-performance computing (HPC). By focusing on its Michigan data center, the company aims to provide the specialized power and cooling required for massive GPU clusters.
Asset Monetization and Debt Reduction: A key theme in recent analyst notes is the company's aggressive strategy to sell non-core assets. Financial observers highlight that the proceeds from these sales are intended to pay down senior debt and fund the expansion of their data center capacity to 300MW.
Operational Scaling: Market researchers from boutique investment firms have pointed out that the company’s success hinges on its ability to secure long-term power purchase agreements and high-tier tenants. The transition to a "hyperscale" model is viewed as a way to achieve more predictable, recurring revenue compared to the volatile crypto-mining operations of its past.
2. Stock Rating and Valuation Outlook
As of late 2024, GPUS is primarily covered by niche and small-cap specialized analysts, with the following consensus:
Rating Distribution: The majority of analysts currently covering the stock maintain a "Speculative Buy" or "Hold" rating. Because the company is in the midst of a massive structural turnaround, many institutional analysts are waiting for consecutive quarters of GAAP profitability before upgrading to a "Strong Buy."
Price Targets:
Current Estimates: Due to recent reverse stock splits and the ticker change, price targets vary significantly. Some aggressive analysts set targets implying a 100%+ upside from current levels, citing the deep discount of the stock relative to the book value of its data center assets.
Market Cap Analysis: Analysts observe that while competitors trade at high multiples of EBITDA, GPUS trades at a fraction of that, reflecting a "trust discount" that the company must overcome through consistent execution.
3. Risk Factors Highlighted by Analysts
Despite the optimism surrounding the AI sector, analysts urge caution regarding several fundamental risks:
Capital Intensity and Dilution: Analysts frequently cite the company's history of equity financing. Building out hyperscale data centers requires hundreds of millions in CAPEX, leading to concerns about further share dilution for retail investors.
Execution Risk: Transitioning from a diversified conglomerate to a focused infrastructure provider is complex. Analysts are watching whether the management can meet the 2025 deadlines for increasing power capacity at their flagship facilities.
Competitive Landscape: GPUS faces stiff competition from established giants like Equinix and Digital Realty. Analysts question whether a smaller player can maintain the margins necessary to compete for the same elite AI startup clientele.
Summary
The consensus on Hyperscale Data, Inc. (GPUS) is that it is a high-beta play on the AI infrastructure build-out. While the company has successfully pivoted toward a high-growth sector, Wall Street remains in a "show me" phase. If the company successfully scales its power capacity and stabilizes its balance sheet in 2025, analysts believe it could see significant valuation expansion; however, it remains a volatile asset suited primarily for investors with a high risk tolerance.
Hyperscale Data, Inc. (GPUS) Frequently Asked Questions
What are the key investment highlights for Hyperscale Data, Inc. and who are its main competitors?
Hyperscale Data, Inc. (NYSE American: GPUS), formerly known as BitNile Holdings and Ault Alliance, has pivoted its core strategy toward the high-growth Artificial Intelligence (AI) infrastructure and data center sectors. A major highlight is its large-scale data center in Michigan, which the company is actively expanding to meet the power-hungry demands of AI high-performance computing (HPC).
The company's primary competitors include major data center operators and Bitcoin miners that have pivoted to AI, such as Applied Digital (APLD), Core Scientific (CORZ), and Iris Energy (IREN). Its competitive edge rests on its ability to secure power legacy and transition infrastructure from crypto-mining to AI hosting.
Is the latest financial data for Hyperscale Data, Inc. healthy? What are the revenue, net profit, and debt levels?
Based on recent SEC filings for the fiscal periods in 2024, Hyperscale Data has faced significant financial headwinds. For the quarter ended June 30, 2024, the company reported a continued focus on restructuring.
Revenue: The company has seen fluctuations due to the volatile nature of Bitcoin mining and the transition period into AI services.
Net Profit: The company has historically reported net losses as it invests heavily in infrastructure and deals with depreciation of mining equipment.
Debt: Debt management remains a critical concern for investors. The company has utilized various financing vehicles, including convertible notes, which has led to significant shareholder dilution. Investors should monitor the debt-to-equity ratio closely as the company seeks to monetize non-core assets to pay down liabilities.
Is the current valuation of GPUS stock high? How do the P/E and P/B ratios compare to the industry?
As of late 2024, GPUS often trades at a Price-to-Book (P/B) ratio that is lower than the industry average for established data center REITs, reflecting the market's cautious stance on its transition. Because the company has not consistently produced positive earnings, the Price-to-Earnings (P/E) ratio is often not applicable (negative).
Compared to peers like Equinix or Digital Realty, GPUS is considered a "speculative micro-cap" stock. Its valuation is driven more by the replacement value of its power assets and data center capacity rather than current cash flow.
How has the GPUS stock price performed over the past three months and one year?
Over the past one-year period, GPUS has significantly underperformed the broader S&P 500 and the technology sector. The stock has faced downward pressure due to several reverse stock splits intended to maintain listing requirements on the NYSE American.
In the past three months, the stock has shown high volatility. While AI-related announcements often lead to short-term price spikes, the long-term trend has been bearish due to ongoing dilution and the capital-intensive nature of its business model.
Are there any recent positive or negative news trends in the industry affecting GPUS?
Positive: The "AI Arms Race" is a massive tailwind. Hyperscale data centers are in extreme demand, and power availability has become a "bottleneck" for big tech companies. GPUS’s ownership of power-connected facilities makes it a potential partner or acquisition target for larger players.
Negative: Rising interest rates over the past year have increased the cost of capital for infrastructure-heavy businesses. Additionally, the increasing difficulty and halving of Bitcoin rewards have pressured the mining segment of the business, forcing a faster (and costly) transition to AI hosting.
Have any major institutions been buying or selling GPUS stock recently?
Institutional ownership in Hyperscale Data, Inc. remains relatively low compared to mid-cap tech stocks. Most of the trading volume is driven by retail investors and specialized micro-cap funds. According to recent 13F filings, institutional holdings are fragmented, with some small-cap index funds holding shares. However, the dominant force in the stock's capital structure remains Ault & Company, Inc. (the parent/affiliated entity), which has frequently provided financing and increased its stake through debt-to-equity conversions.
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