WhiteFiber Accelerates AI Infrastructure Expansion, Targets 76 MW by 2026

TL;DR

**WYFI is making a smart bet on vertical integration in AI infrastructure, but watch their capital deployment closely as they scale aggressively.**

AI Summary

WhiteFiber, Inc. (WYFI) is a leading provider of AI infrastructure solutions, operating high-performance computing (HPC) data centers and offering cloud-based GPU services. The company's business model integrates data center infrastructure and cloud services, targeting AI and machine learning workloads with Tier-3 data centers featuring N+1 redundancy and 99.982% uptime. WhiteFiber is aggressively expanding its data center capacity, aiming for an estimated 76 MW (gross) by Q4 2026, underpinned by facilities like MTL-2, MTL-3, and NC-1. As of December 31, 2025, the company's pipeline of potential data center projects represents approximately 1,500 MW (gross). Key acquisitions include Enovum on October 11, 2024, which brought the 4 MW (gross) MTL-1 data center, and the real estate for MTL-2 on December 27, 2024, for CAD 33.5 million (approximately $23.3 million). On April 11, 2025, WhiteFiber leased MTL-3, a 7 MW (gross) Tier-3 data center, with a fixed-price purchase option of CAD 24.2 million (approximately $17.3 million), supporting a 5 MW IT load for Cerebras. The company prioritizes retrofitting existing industrial buildings to accelerate deployment, aiming for approximately six-month build times.

Why It Matters

WhiteFiber's aggressive expansion in high-performance computing and AI infrastructure is critical for investors, as it positions the company to capitalize on the booming demand for AI and machine learning capabilities. By integrating data center operations with GPU-focused cloud services, WhiteFiber aims to capture additional margin and reduce reliance on third-party providers, potentially enhancing profitability. This vertically integrated strategy could give WhiteFiber a competitive edge against pure-play cloud providers or data center operators by offering specialized, high-density solutions for AI workloads. For customers like Cerebras, WhiteFiber's dedicated infrastructure ensures the robust bandwidth and advanced cooling necessary for large-scale AI training and inference, fostering innovation in the broader market.

Risk Assessment

Risk Level: medium — The company faces medium risk due to its aggressive expansion plans, targeting an estimated 76 MW (gross) of data center capacity by Q4 2026 and reviewing a pipeline of 1,500 MW (gross). This rapid growth, while strategic, involves significant capital expenditure, such as the CAD 33.5 million (approximately $23.3 million) for MTL-2 and the CAD 24.2 million (approximately $17.3 million) purchase option for MTL-3, and is subject to factors outside its control like permitting and supply chain disruptions.

Analyst Insight

Investors should monitor WhiteFiber's execution on its data center development pipeline and customer lease commitments, particularly the 5 MW IT load for Cerebras at MTL-3. Evaluate the company's ability to manage capital expenditures effectively and deliver on its projected 76 MW (gross) capacity by Q4 2026, as successful deployment will be key to future revenue growth.

Key Numbers

• $23.3M — Cost of MTL-2 real estate (Initially funded with cash on hand for a 5 MW data center)
• $17.3M — Purchase option for MTL-3 (Fixed-price option for a 7 MW data center)
• 76 MW — Target data center capacity (Estimated gross capacity by end of Q4 2026)
• 1,500 MW — Pipeline of potential data center projects (Gross capacity under management review as of December 31, 2025)
• 4 MW — MTL-1 data center capacity (Fully operational and leased at Enovum acquisition)
• 5 MW — MTL-2 data center capacity (Initial load for the build-to-suit project)
• 7 MW — MTL-3 data center capacity (Gross capacity for the leased facility)
• 5 MW — Cerebras IT Load at MTL-3 (Current contracted capacity)
• 6 months — Average retrofit build time (From commencement of construction, faster than greenfield projects)
• 99.982% — Uptime for Tier-3 data centers (Standard for WhiteFiber's operational data centers)

Key Players & Entities

• WhiteFiber, Inc. (company) — registrant
• Bit Digital, Inc. (company) — former parent company
• Enovum Data Centers Corp. (company) — acquired subsidiary
• Cerebras (company) — key customer for MTL-3
• Duke Energy Carolinas, LLC (company) — energy provider for NC-1
• The Nasdaq Stock Market LLC (regulator) — exchange where shares are registered
• Securities and Exchange Commission (regulator) — filing oversight

Forward-Looking Statements

• The Master Services Agreement with ENOVUM NC-1 BIDCO, LLC will lead to new revenue streams for WhiteFiber, Inc. in the next fiscal year. (WhiteFiber, Inc.) — medium confidence, target: 2026-12-31
• The new Insider Trading Policy and Clawback Policy will enhance corporate governance and investor confidence in WhiteFiber, Inc. (WhiteFiber, Inc.) — high confidence, target: 2026-03-26

FAQ

Risk Factors

• Supply Chain Disruptions [high — operational]: Supply chain disruptions could materially adversely affect the Company's performance. This is a critical factor for a company reliant on hardware for its data center operations and GPU services.
• Integration of Acquired Companies [medium — operational]: The ability to integrate operations of Enovum and any future acquired companies into the HPC Business segment is a key risk. Successful integration is crucial for realizing synergies and maintaining operational efficiency.
• GPU Procurement Challenges [high — operational]: Failure to purchase GPUs on a timely basis to service cloud service customers poses a significant risk. This directly impacts the company's ability to deliver on its cloud service offerings.
• Managing Growth [medium — operational]: The company faces the risk of failing to effectively manage its growth. Rapid expansion, while a strategic goal, can strain resources and operational capabilities if not managed properly.

Industry Context

The AI infrastructure market is experiencing rapid growth, driven by increasing demand for AI and ML workloads. Companies like WhiteFiber are positioning themselves to capitalize on this by providing specialized high-performance computing data centers and cloud GPU services. The competitive landscape includes hyperscale cloud providers and other colocation providers, but WhiteFiber's focus on AI-specific needs and its integrated model offer a differentiated approach.

Regulatory Implications

WhiteFiber operates in a sector subject to evolving cybersecurity regulations and data privacy laws. Compliance with these regulations is crucial to maintain customer trust and avoid penalties. The company's focus on physical infrastructure also means adherence to building codes and environmental standards.

What Investors Should Do

1. Monitor expansion progress against the 76 MW target by Q4 2026.
2. Evaluate GPU procurement strategy and supply chain resilience.
3. Assess the success of integrating acquired assets like Enovum.
4. Analyze customer contracts and IT load commitments, particularly for large clients like Cerebras.

Key Dates

• 2024-10-11: Acquisition of Enovum — This acquisition brought the 4 MW (gross) MTL-1 data center into WhiteFiber's portfolio, expanding its operational capacity.
• 2024-12-27: Purchase of MTL-2 Real Estate — Acquisition of real estate for MTL-2 for CAD 33.5 million (approx. $23.3 million), a key step in expanding data center capacity.
• 2025-04-11: Lease of MTL-3 Data Center — Leased a 7 MW (gross) Tier-3 data center with a fixed-price purchase option, supporting a 5 MW IT load for Cerebras.
• 2025-12-31: Pipeline Review — As of this date, the company's pipeline of potential data center projects represented approximately 1,500 MW (gross).
• 2026-12-31: Target Data Center Capacity — WhiteFiber aims to achieve an estimated 76 MW (gross) of total data center capacity by the end of Q4 2026.

Glossary

HPC

High-Performance Computing, referring to the use of supercomputers and parallel processing techniques to solve complex computational problems. (WhiteFiber provides HPC data centers and cloud services specifically for AI and ML workloads, which are computationally intensive.)

GPU

Graphics Processing Unit, a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. (GPUs are essential for AI and ML tasks, particularly for training and inference, and are a core component of WhiteFiber's cloud services.)

Tier-3 Data Center

A data center classification that guarantees 99.982% uptime and concurrent maintainability, meaning any component can be taken out of service without impacting operations. (WhiteFiber operates Tier-3 data centers, ensuring high reliability and availability for its AI and ML clients.)

N+1 Redundancy

A system design where there is one backup component for each active component, ensuring that if one fails, a backup can immediately take over. (This is a key feature of WhiteFiber's Tier-3 data centers, contributing to their high uptime and reliability.)

MW (gross)

Megawatt, a unit of power. In the context of data centers, it refers to the total power capacity of the facility. (Used to quantify the scale of WhiteFiber's data center infrastructure and expansion plans.)

IT Load

The amount of power consumed by the IT equipment (servers, storage, networking) within a data center. (Indicates the actual computing power capacity being utilized or contracted for within a data center facility.)

Year-Over-Year Comparison

This filing indicates significant strategic expansion and asset acquisition compared to the previous year, with a clear roadmap towards a 76 MW capacity target by late 2026. Key acquisitions and leases of data center facilities like MTL-2 and MTL-3 highlight aggressive growth initiatives. The company is also building a substantial pipeline of potential projects, signaling strong future development intentions. Specific financial metrics for revenue, net income, and margins are not detailed in the provided text for comparison.

Key Financial Figures

• $0.01 — e on which registered Ordinary Shares, $0.01 par value WYFI The Nasdaq Stock Market
• $23.3 million — hase of CAD 33.5 million (approximately $23.3 million) with cash on hand. We expected to inve
• $23.6 million — nd. We expected to invest approximately $23.6 million to develop the site to Tier-3 standards
• $17.3 million — tion of CAD 24.2 million (approximately $17.3 million) exercisable by December 2025. The leas
• $45 million — ed thereon for a cash purchase price of $45 million. The purchase price will increase by (i
• $8 m — The purchase price will increase by (i) $8 million, if Duke Energy actually provides
• $5 m — thin two years of May 20, 2025, or (ii) $5 million, if Duke Energy actually provides
• $200,000 — se price will increase by an additional $200,000 per MW over 99 MW (gross) up to a maxim
• $5 million — W over 99 MW (gross) up to a maximum of $5 million if at least 99 MW (gross) are actually
• $43.8 million — oximately CAD 60 million (approximately $43.8 million) of financing. The proceeds are to be u
• $5.8 million — inance the buildout of MTL-2 as well as $5.8 million of revolving term financing (the "Revol
• $18.5 million — mpany. We entered into a three-year USD $18.5 million non-revolving lease facility to finance
• $19.6 million — Facility, we entered into a three-year $19.6 million non-revolving real estate term loan fac

Filing Documents

• ea0278305-10k_white.htm (10-K) — 1837KB
• ea027830501ex10-8.htm (EX-10.8) — 9KB
• ea027830501ex10-18.htm (EX-10.18) — 8KB
• ea027830501ex10-29.htm (EX-10.29) — 141KB
• ea027830501ex19-1.htm (EX-19.1) — 49KB
• ea027830501ex21-1.htm (EX-21.1) — 5KB
• ea027830501ex23-1.htm (EX-23.1) — 1KB
• ea027830501ex31-1.htm (EX-31.1) — 10KB
• ea027830501ex31-2.htm (EX-31.2) — 10KB
• ea027830501ex32-1.htm (EX-32.1) — 4KB
• ea027830501ex32-2.htm (EX-32.2) — 3KB
• ea027830501ex97-1.htm (EX-97.1) — 35KB
• 0001213900-26-034341.txt ( ) — 9486KB
• wyfi-20251231.xsd (EX-101.SCH) — 86KB
• wyfi-20251231_cal.xml (EX-101.CAL) — 80KB
• wyfi-20251231_def.xml (EX-101.DEF) — 337KB
• wyfi-20251231_lab.xml (EX-101.LAB) — 679KB
• wyfi-20251231_pre.xml (EX-101.PRE) — 543KB
• ea0278305-10k_white_htm.xml (XML) — 1067KB

Business

Business 1 Item 1A.

Risk Factors

Risk Factors 18 Item 1B. Unresolved Staff Comments 72 Item 1C. Cybersecurity 72 Item 2.

Properties

Properties 73 Item 3.

Legal Proceedings

Legal Proceedings 73 Item 4. Mine Safety Disclosures 73 PART II 74 Item 5. Market for Registrant's Common Equity, Related Stockholder Matters and Issuer Purchases of Equity Securities 74 Item 6. [Reserved] 75 Item 7.

Management's Discussion and Analysis of Financial Condition and Results of Operations

Management's Discussion and Analysis of Financial Condition and Results of Operations 76 Item 7A.

Quantitative and Qualitative Disclosures About Market Risk

Quantitative and Qualitative Disclosures About Market Risk 88 Item 8.

Financial Statements and Supplementary Data

Financial Statements and Supplementary Data F-1 Item 9. Changes In and Disagreements with Accountants on Accounting and Financial Disclosure 89 Item 9A.

Controls and Procedures

Controls and Procedures 89 Item 9B. Other Information 89 Item 9C. Disclosure Regarding Foreign Jurisdictions that Prevent Inspections 89 PART III 90 Item 10. Directors, Executive Officers and Corporate Governance 90 Item 11.

Executive Compensation

Executive Compensation 95 Item 12.

Security Ownership of Certain Beneficial Owners and Management and Related Stockholder Matters

Security Ownership of Certain Beneficial Owners and Management and Related Stockholder Matters 102 Item 13. Certain Relationships and Related Transactions, and Director Independence 103 Item 14. Principal Accountant Fees and Services 105 PART IV 106 Item 15. Exhibits and Financial Statements Schedules 106 Item 16. Form 10-K Summary 108

FORWARD-LOOKING STATEMENTS AND RISK FACTOR SUMMARY

FORWARD-LOOKING STATEMENTS AND RISK FACTOR SUMMARY This Annual Report on Form 10-K (this "Annual Report") contains "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934, regarding us and our business strategies, market potential, future financial performance and other matters that involve substantial risks and uncertainties. All statements other than statements of historical facts contained in this Annual Report, including statements regarding our strategy, future financial condition, future operations, plans, objectives of management, and expected market growth, are forward-looking statements. The words "believe," "expect," "estimate," "could," "should," "intend," "may," "might," "will," "target," "potential," "goal," "objective," "plan," "seek," "anticipate," "project" and similar expressions, among others, generally identify forward-looking statements, which speak only as of the date the statements were made. The matters discussed in these forward-looking statements are subject to risks, uncertainties and other factors that could cause actual results to differ materially from those projected, anticipated or implied in the forward-looking statements. In particular, information included under " Risk Factors ," " Business ," " Management's Discussion and Analysis of Financial Condition and Results of Operations ," and other sections of this Annual Report contain forward-looking statements. We intend such forward-looking statements to be covered by the safe-harbor provisions for forward-looking statements and are including this statement for purposes of complying with those safe-harbor provisions. Where, in any forward-looking statement, an expectation or belief as to future results or events is expressed, such expectation or belief is based on the current plans and expectations of WhiteFiber's management and expressed

Business

Item 1. Business Our Business We believe we are a leading provider of artificial intelligence ("AI") infrastructure solutions. We own high-performance computing ("HPC") data centers and provide cloud-based HPC graphics processing units ("GPU") services, which we term cloud services, for customers such as AI application and machine learning ("ML") developers (the "HPC Business"). Our Tier-3 data centers provide hosting and colocation services. Our cloud services support generative AI workstreams, especially training and inference. Our business model integrates our data center infrastructure and cloud services to provide scalable, high-performance computing solutions for enterprises, research institutions, and AI and ML driven businesses. Our integrated approach aligns specialized data center operations with GPU-focused cloud services, addressing the unique requirements of AI and ML workloads. These workloads demand greater power density, advanced cooling solutions, and robust bandwidth to handle large-scale data transfers. By operating our data centers, we are able to provide the power to support our cloud services and we believe we can better meet the needs of AI and ML workloads and reduce the complexity associated with procuring power and connectivity from external vendors. We can also design our facilities to accommodate the higher heat loads generated by modern GPUs, potentially shortening deployment timelines for customers who require rapid expansion of their computing infrastructure. From a financial standpoint, our vertically integrated solution allows us to capture additional margin for both our data center and cloud services businesses, avoiding expenses that would otherwise be due to third-party providers. Colocation/Data center services We design, develop, and operate data centers, through which we offer our hosting and colocation services. Our operational data centers meet the requirements of the Tier-3 standard, including N+1 redundancy architec

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