WhiteFiber, Inc. (WYFI) Company Overview

US | Technology | Information Technology Services | NASDAQ

What does WhiteFiber do?

WhiteFiber, Inc. is a Nasdaq-listed AI infrastructure company combining GPU cloud computing with high-density colocation. It secures powered facilities, retrofits them for accelerated computing, deploys or hosts GPU clusters, and sells capacity to AI developers, cloud platforms, and enterprises. It trades on Nasdaq as WYFI and is incorporated in the Cayman Islands. Its 2025 Form 10-K describes two reportable segments: cloud services and colocation services.

2
reportable segments: cloud and colocation
20+
customers disclosed in the June 2026 presentation
~5,000
contracted NVIDIA GPUs as of May 31, 2026
~1.5 GW
identified power pipeline, management estimate

An integrated AI infrastructure platform

The cloud segment provides GPU clusters for AI training and inference. WhiteFiber can own the hardware, install it in its own or third-party data centers, and charge for committed capacity or usage. The colocation segment sells space, power, cooling, network connectivity, and operational support to customers that own or control their computing equipment. Vertical integration is the strategic link: a data-center site can first earn infrastructure revenue, then support higher-value cloud services when WhiteFiber deploys its own fleet.

GPU cloudHigh-density colocationAI trainingInferenceRetrofit developmentPower procurement

Where the operating footprint sits

The footprint spans Iceland, Montreal, North Carolina, and a planned Paris cloud deployment. Iceland hosts the legacy cloud fleet, Montreal demonstrates rapid retrofit execution, and NC-1 is intended to create a scaled campus platform. Power access, grid interconnection, cooling, and permitting can matter as much as GPU supply.

How does WhiteFiber make money?

WhiteFiber monetizes the same stack in two ways. Cloud contracts sell computing performance; colocation contracts sell the power, cooling, space, and operations beneath it. Cloud offers more revenue potential but adds utilization and obsolescence risk. Colocation is steadier but capital intensive.

01Secure sites and power
Acquire, lease, or retrofit facilities with suitable utility capacity.
02Build AI infrastructure
Install electrical, cooling, network, and operating systems.
03Deploy or host GPUs
Use owned GPUs, customer equipment, or third-party sites.
04Collect contracted revenue
Charge for compute, committed power, and support.

Cloud services: sell GPU capacity and managed compute

Cloud pricing reflects GPU type, quantity, term, and service level. WhiteFiber supports NVIDIA H200, B200, and GB200 architectures and works with server vendors including Super Micro, Dell, HPE, and QCT. The objective is high utilization and contracts long enough to recover hardware and financing cost.

Colocation: monetize power, space, cooling, and reliability

Colocation contracts are typically multi-year commitments based on power. Customers pay recurring fees for an engineered environment, while electricity and some operating costs may pass through. Fixed commitments improve visibility and are especially valuable when utility connections and advanced cooling are scarce.

Revenue stream What the customer buys Primary pricing logic Main economic sensitivity
Cloud services GPU capacity for training and inference Usage or committed capacity by GPU type and term Utilization, GPU cost, financing, and obsolescence
Colocation services Power, racks, cooling, connectivity, and operations Recurring charge based mainly on committed kilowatts or megawatts Build cost, power delivery, uptime, and occupancy
Other services Equipment and technical work Project or transaction based Timing and mix; not the central recurring model
Q1 2026 revenue mix
$21.9M
Cloud — $16.8M, 76.5%
Colocation — $4.8M, 21.8%
Other — $0.4M, 1.7%
Cloud remained the largest revenue source in the quarter ended March 31, 2026, while colocation grew faster from a smaller base.

Which assets and contracts matter most?

WhiteFiber’s value is tied to a concentrated set of facilities and contracts. The June 2026 investor presentation shows a plan to expand from roughly 11 gross megawatts online in 2025 to approximately 76 by year-end 2026, mainly through NC-1 and new cloud deployments.

Montreal proves the retrofit model

MTL-1 is a small, fully contracted multi-customer site. MTL-3 is the larger proof point: delivered in about six months, supporting a five-year Cerebras arrangement, with reported PUE of 1.3 and buildout cost below C$9 million per gross megawatt. Site economics still depend on local utility and building conditions.

NC-1 and Paris define the next scale step

NC-1 is the transformational asset. Its first two phases cover 54 gross megawatts, with 40 megawatts of IT load contracted to Nscale for ten years and approximately $865 million of stated contract value. The Nscale announcement describes an AI-factory campus in North Carolina. In May 2026, WhiteFiber also disclosed a Paris AI-compute agreement with more than $160 million of stated five-year contract value.

Asset or deployment Capacity / status Commercial anchor Analytical importance
MTL-1 4 gross MW; 3 MW IT load; fully contracted Fourteen customers; average contract term about 30 months Shows diversified small-customer economics
MTL-3 7 gross MW; 5 MW IT load; operational Cerebras; five-year term Validates rapid retrofit delivery
NC-1 phases 1–2 54 gross MW; 40 MW IT load contracted Nscale; ten-year term; about $865M TCV Largest source of contracted scale and execution risk
Paris cloud Advanced NVIDIA GPU deployment; service planned in 2026 Five-year agreement; more than $160M TCV Tests international execution and financing
Gross capacity by disclosed site or phase
NC-1 phases 1–254 MW
MTL-37 MW
MTL-14 MW
NC-1 dominates disclosed near-term capacity. Period: company presentation dated June 2026; bars are scaled to the largest item.
Retrofit thesis
$8–10M/MW
Management’s estimated retrofit cost per gross megawatt.
Scale thesis
~76 MW
Management’s year-end 2026 gross-capacity target.

What does WhiteFiber’s latest quarter show?

The quarter ended March 31, 2026 showed strong revenue growth and healthy direct segment economics, alongside the cost of scaling a public infrastructure company. The Q1 2026 Form 10-Q reported 31% revenue growth to $21.9 million. Cloud remained largest, while colocation nearly tripled as MTL-3 contributed a full quarter.

$21.9M
total revenue, Q1 2026
$13.2M
calculated gross profit, Q1 2026
($12.0M)
net loss, Q1 2026
$3.2M
operating cash flow, Q1 2026

Growth came from both segments, but overhead rose faster

Cloud revenue reached $16.8 million and colocation $4.8 million. General and administrative expense rose to $17.8 million as staffing, professional fees, public-company functions, and share-based compensation expanded. Depreciation and amortization was $6.4 million. WhiteFiber posted an $11.0 million operating loss, $0.31 diluted loss per share, and $3.0 million of adjusted EBITDA.

Gross economics remain healthy before corporate costs

Reported revenue less direct segment costs implies a 60.2% consolidated gross margin. Cloud and colocation each generated roughly 59% before depreciation and corporate expense. The signal is encouraging, but scalable profitability requires a larger revenue base to absorb overhead and project financing.

Metric Q1 2026 Q1 2025 Interpretation
Revenue $21.9M $16.8M Both segments expanded; growth was 31%.
Cloud revenue $16.8M $14.8M Core revenue engine; up 13%.
Colocation revenue $4.8M $1.6M MTL-3 drove a 190% increase.
Operating income (loss) ($11.0M) $2.0M Overhead and depreciation outpaced gross-profit growth.
Adjusted EBITDA $3.0M $6.0M Positive, but lower as spending preceded revenue.
60.2%
Calculated consolidated gross margin, Q1 2026. The arc is revenue less direct segment costs, before depreciation and corporate expense. Profitability still depends on overhead absorption and execution.

How did WhiteFiber evolve so quickly?

WhiteFiber is newly public, but its assets and management relationships were assembled through Bit Digital and rapid expansion. That history explains concentrated ownership, related-party financing, transitional systems, and the aggressive capacity plan.

The strategic turning points

  1. 2024
    The company was incorporated as Celer and renamed WhiteFiber, creating a dedicated AI-infrastructure vehicle.
  2. 2025
    Montreal expansion and NC-1 shifted the strategy from hosted GPUs toward controlled infrastructure.
  3. August 2025
    The IPO raised growth capital and established WYFI as a separate listing while Bit Digital retained control.
  4. November 2025
    MTL-3 became operational, providing a reference for fast retrofit development.
  5. January 2026
    Convertible notes added expansion capital, interest expense, and potential dilution.
  6. May 2026
    Paris and parent-backed financing linked growth more tightly to project funding.
  7. July 2026
    WhiteFiber reported cross-data-center networking progress for distributed GPU workloads.

What gives WhiteFiber a competitive advantage?

WhiteFiber lacks the scale and balance sheet of major cloud and colocation providers. Its potential advantage is narrower: find powered buildings, retrofit them quickly, combine infrastructure with GPU expertise, and contract capacity before greenfield rivals deliver. The moat is execution-based, not assured.

Retrofit speed and power access

Power is a binding AI-infrastructure constraint. Buildings with viable utility connections can shorten timelines versus greenfield campuses facing long queues. WhiteFiber estimates favorable retrofits can cost roughly 40% less. Montreal supports the concept; NC-1 will test scale.

Vertical integration and workload engineering

Controlling the data-center layer gives WhiteFiber more influence over cooling, networking, timing, and power economics. It can move between colocation and owned-cloud returns. In July 2026, an official company update reported 111.2 terabits per second across 83 kilometers with sub-millisecond latency. Commercial adoption and economics remain unproven.

Power-site sourcingPromising
Retrofit executionDeveloping
Customer diversificationLimited
Balance-sheet capacityConstrained
Technology integrationEmerging
WhiteFiber’s defensibility will come from repeatedly converting scarce power into contracted AI capacity—not from owning a single generation of GPUs.

Who competes with WhiteFiber, and where is it positioned?

WhiteFiber competes in two markets. Colocation rivals including Digital Realty, Equinix, NTT, CyrusOne, STACK, Aligned, and Iron Mountain have broader footprints and cheaper capital. GPU-cloud rivals such as CoreWeave, Crusoe, Nebius, and Lambda compete for workloads and hardware. Hyperscalers can bundle compute with software and enterprise distribution.

WhiteFiber’s hybrid position gives it more physical control than resellers but less scale than major NeoClouds or landlords. The question is whether this creates speed and margin advantages or exposes it to both infrastructure and hardware risks. The official investor news archive shows whether new contracts broaden the customer base.

Competitive group Representative rivals Their structural advantage WhiteFiber’s response
Global colocation Digital Realty, Equinix, NTT Scale, credit quality, global sales, interconnection Fast retrofits and AI specialization
Private AI campuses STACK, Aligned, CyrusOne Large pipelines and institutional capital Target overlooked buildings and pre-contract capacity
Specialized GPU cloud CoreWeave, Crusoe, Nebius, Lambda Larger fleets, mindshare, and software tooling Integrate cloud with controlled infrastructure
Hyperscale cloud Large integrated cloud platforms Software ecosystems, procurement scale, distribution Offer dedicated capacity and alternative supply
Conceptual position: infrastructure control increases left to right; operating scale increases bottom to top.
High scale / Lower direct control
Software-led platforms scale demand rapidly but rely more on third-party sites.
High scale / High control
Hyperscalers and global landlords combine capital depth with broad ownership.
Lower scale / Lower control
Small resellers have limited differentiation and bargaining power.
Lower scale / High control: WhiteFiber
WhiteFiber controls key sites but must prove contracted growth can close the scale gap.

How strong are cash flow, liquidity, and capital structure?

WhiteFiber’s operations can generate cash, but growth consumes far more capital than current earnings provide. Q1 2026 operating cash flow was positive, aided by prepayments, while property-and-equipment purchases and deposits reached $169.2 million. Accounts receivable rose to $91.7 million, making collections critical.

Operating cash flow is positive, but investment needs are much larger

Operating cash flow
$3.2M
Q1 2026; supported by customer prepayments.
Property and equipment
($169.2M)
Q1 2026 purchases and deposits for the development program.
Financing inflow
$101.8M
Q1 2026 financing cash inflow.

Conventional free cash flow is negative because assets are being built before contracted revenue starts. The relevant test is whether each financed project earns an adequate return after electricity, depreciation, interest, and maintenance capital.

Financing expands capacity and financial risk

At March 31, 2026, WhiteFiber held $75.8 million of cash and $222.3 million of net convertible-note liability. The 4.5% notes mature in 2031; the financing filing details the structure. In May, the company also entered a $100 million delayed-draw term loan with a Bit Digital affiliate. These facilities add capacity, interest, covenant, refinancing, and related-party risk.

Balance-sheet item Amount Period Why it matters
Cash $75.8M March 31, 2026 Liquidity remains modest relative to planned spending.
Net property and equipment $432.0M March 31, 2026 Reflects rapid infrastructure investment.
Construction in progress $294.3M March 31, 2026 Execution risk before assets enter service.
Deferred revenue $144.5M March 31, 2026 Customer funding creates future service obligations.
Shareholders’ equity $352.6M March 31, 2026 Provides a cushion that losses or financing can erode.
$65.7Mof Q1 2026 customer prepayments helped fund growth, but revenue is earned only as contracted service is delivered.

Who owns WhiteFiber, and why does control matter?

WhiteFiber has one ordinary share class, but ownership is concentrated. Bit Digital remained the controlling shareholder after the IPO. Parent control can support coordination and access to resources, while reducing minority influence over the board, related-party transactions, and capital allocation.

Bit Digital remains the controlling shareholder

The 2025 Form 10-K reported Bit Digital held 27.0 million shares, or 70.5%, on March 1, 2026. Directors and executive officers as a group owned less than 1% apart from the parent stake. Bit Digital therefore largely determines voting outcomes.

Holder or group Beneficial ownership Source period Governance implication
Bit Digital, Inc. 27,043,750 shares; 70.5% March 1, 2026 Controls most shareholder votes.
Sam Tabar 147,058 shares; under 1% March 1, 2026 CEO stake is small relative to parent control.
Erke Huang 88,235 shares; under 1% March 1, 2026 CFO stake is modest.
Directors and executive officers as a group 268,486 shares; under 1% March 1, 2026 Management ownership is small versus Bit Digital.

Management overlap creates both support and governance complexity

CEO Sam Tabar also leads Bit Digital, and transitional arrangements share executives and services. WhiteFiber reported $1.5 million of Q1 2026 service fees to Bit Digital and a $4.7 million quarter-end payable. Shared expertise can lower startup friction, but resource allocation and financing terms require scrutiny.

Potential benefit
Parent support
Financing relationships and operating knowledge can accelerate development.
Potential constraint
Minority influence
Control and executive overlap require close review of related-party economics.

What could accelerate or weaken WhiteFiber’s outlook?

The opportunity is large relative to current revenue, but the downside is equally concentrated. A few project milestones, acceptances, funding decisions, and collections can materially change the profile.

Growth opportunities

The main upside is converting NC-1 and Paris into recurring revenue without major overruns. Additional potential comes from more customers on existing power, later NC-1 phases, customer prepayments, and distributed-cluster networking. Mixing long-term colocation with cloud contracts can diversify duration and customer type.

Risks and constraints

Key risks are execution, financing, concentration, and technology change. In 2025, one cloud customer represented 70.7% of revenue, and service had paused during discussions. Project delays, utility constraints, GPU supply, export controls, cybersecurity, and faster accelerator cycles could impair returns.

NC-1 commissioning
Watch energized capacity, acceptance, spend, and billing.
Cloud customer concentration
Track whether new contracts reduce initial-customer dependence.
Cash collections
Collections must keep pace with receivable growth.
Project financing
Evaluate interest, covenants, dilution, and related-party funding.
Gross margin versus overhead
Test whether revenue scales faster than overhead and depreciation.
GPU utilization and renewal
Utilization and renewal must offset hardware aging.
Risk Financial transmission Indicator to monitor Possible offset
Construction or utility delay Later revenue, higher interest, and overruns Energized MW and acceptance milestones Retrofit experience and phased contracting
Customer concentration Volatility, receivable exposure, weaker pricing Customer share, renewals, and collections More colocation customers and multiple cloud agreements
GPU obsolescence Lower utilization, impairments, replacement spending Fleet age, contract term, and utilization Mix of owned cloud and customer-owned colocation equipment
Leverage and dilution Interest, refinancing, and dilution risk Debt balance, cash interest, conversion terms, new equity Customer prepayments and project-level financing
Parent-related conflicts Potentially unfavorable allocation of capital or services Related-party balances and financing terms Independent oversight and transparent disclosure

Why does WhiteFiber’s business model matter for valuation?

A revenue multiple is insufficient because WhiteFiber combines development-stage infrastructure, contracted backlog, hardware-heavy cloud revenue, and financing needs. A DCF should separate projects by commissioning date, contract term, power cost, utilization, maintenance capital, and funding source, while distinguishing prepayments from earned revenue.

The variables that drive intrinsic value

Positive drivers are delivered megawatts, contracted IT load, revenue per megawatt, margin, and renewal. Negative drivers are build cost, energization timing, borrowing cost, GPU replacement, and customer default. Terminal value should distinguish short-lived hardware economics from longer-lived power and site rights.

FY2025 revenue rose to $79.2 million from $47.6 million, while net income shifted to a $24.7 million loss as depreciation and overhead expanded. This may reflect front-loaded investment, but projects must convert backlog into returns above the cost of capital. Valuation should phase revenue and spending by site rather than extrapolating one growth rate.

Revenue build
Model service start, ramp, escalators, and renewal by site.
Direct margin
Separate cloud and colocation economics, including power and depreciation.
Reinvestment rate
Link spending to incremental contracted capacity.
Cost of capital
Reflect debt, parent loans, dilution, and execution risk.

What is the key takeaway from WhiteFiber analysis?

WhiteFiber sits at the intersection of two scarce AI resources: accelerated hardware and power-ready data-center capacity. Its revenue base is small, but contracted projects could transform the company if facilities arrive on time, capital cost is controlled, and customers diversify. The outcome remains sensitive to a few milestones.

Integrated infrastructure creates upside only when contracted capacity becomes durable cash flow.
Supporting evidence includes roughly 60% direct gross margin in Q1 2026, contracted Montreal capacity, large stated contract values at NC-1 and Paris, and access to financing. Weaknesses are customer concentration, overhead growth, heavy construction spending, leverage, parent control, and simultaneous project execution.
  • Monitor NC-1 energization and customer acceptance.
  • Track when Paris and other contracts begin revenue.
  • Compare receivable growth with collections.
  • Watch whether gross profit outgrows overhead.
  • Evaluate financing terms, interest, and dilution.
  • Measure customer diversification, not only contract value.
  • Test retrofit cost and speed at larger scale.

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