(FRMI) Fermi Inc. Business Model Canvas Research

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Fermi Inc. Business Model Canvas: Strategic Blueprint at a Glance

Unlock the full strategic blueprint behind Fermi Inc.’s business model. This concise Business Model Canvas reveals how the company creates value, reaches customers, and positions itself in a competitive market. Ideal for investors, analysts, and founders who want actionable insight—get the full version to see every building block.

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Partnerships

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Texas permitting and local authorities

Fermi Inc.'s Amarillo campus depends on Texas and local approvals for land use, water, and construction, so close public-sector coordination can cut permit delays on a project that spans power and cooling infrastructure. That matters in ERCOT, which serves about 26 million customers, because grid-linked sites face tighter timing risk when a 2025-founded developer is moving from plan to build.

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Grid interconnection and utility partners

Grid access is a core dependency for Fermi Inc. Large loads need transmission operators, utilities, and interconnection specialists to secure reliable power for both generation assets and data centers; in the U.S., data centers used about 176 TWh in 2023, and DOE projects demand could reach 325-580 TWh by 2028. Delays in grid studies and upgrades can push projects back years, so these partners directly shape buildout speed and uptime.

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EPC and industrial construction firms

Fermi Inc. needs EPC and industrial builders that can deliver its 11 GW campus at scale, including power plants, substations, and data halls. On projects this large, construction execution can make or break schedule and cost, because each phase has to turn land and permits into operating assets.

Semiconductor and AI hardware vendors

Semiconductor and AI hardware vendors are core partners because Fermi Inc.’s data centers depend on GPUs, servers, networking, and liquid cooling to turn power into usable compute. With AI racks often above 50 kW and Nvidia reporting FY2025 revenue of $60.9B, supply access helps define tenant-ready capacity faster than real estate alone.

  • GPU supply drives usable compute
  • Networking and cooling set density
  • Vendor lead times shape tenant readiness

Capital providers and strategic investors

Campus-scale energy and data projects need heavy upfront cash, often $7 million-$12 million per MW for AI-ready data centers. So Fermi Inc. will likely depend on equity investors, project finance lenders, and infrastructure funds to pay for land, generation, and phased data center buildout.

That mix matters because long-build assets can take years before cash flow starts. Capital partners spread risk and fund each step, from site control to power assets and server halls.

  • Equity backs early-stage land and permits
  • Lenders fund buildout against project cash flows
  • Infrastructure funds fit long-duration assets
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Fermi’s AI Power Play Depends on Texas, GPUs, and Capital

Fermi Inc. depends on Texas regulators, ERCOT, EPCs, GPU vendors, and lenders to turn land into AI power and data assets. That matters because U.S. data centers used 176 TWh in 2023, DOE sees 325-580 TWh by 2028, and AI-ready builds can cost $7M-$12M per MW.

Partner Role
ERCOT Grid access
GPU vendors Compute supply
Lenders Capex funding

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Activities

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Campus development in Amarillo

Fermi’s core activity is planning and building its integrated energy-and-data campus in Amarillo, Texas, with site selection, master planning, and phased delivery all centered on the campus model. Public 2025 disclosures describe a multi-thousand-acre development designed to pair power, data infrastructure, and long-life industrial tenants, but Fermi has not published 2026 revenue or capex figures.

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Energy infrastructure buildout

Fermi Inc. must build power generation and grid links for high-load sites, including substations, transmission tie-ins, and on-site backup systems. U.S. data centers already used about 176 TWh of electricity in 2023, and demand is still rising, so reliable megawatt-scale supply is the core asset, not a support function.

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Data center facility construction

Fermi Inc. must build AI-ready shells, substations, cooling, and security systems fast enough to support very high rack loads; its planned Amarillo campus has been described at up to 11 GW, showing how construction turns power access into billable compute capacity. In AI data centers, the building itself is the product.

Permitting and regulatory execution

Permitting and regulatory execution is a critical gate for Fermi Inc.’s large-scale infrastructure buildout: multi-agency approvals, environmental review, and compliance can stretch across years, not months. For a planned 11 GW campus, even small delays can move hundreds of millions in capital spend and slow revenue timing.

  • Coordinates federal, state, local approvals
  • Manages environmental and compliance filings
  • Controls schedule, cost, and scale risk

Tenant acquisition and capacity planning

Fermi Inc. must lock in tenants before its campus capacity comes online, because monetization depends on matching power, land, and data halls to real demand. Its proposed Amarillo campus spans 5,236 acres and targets up to 11 GW of power, so capacity planning is the gatekeeper for revenue conversion.

  • Secure future users early
  • Match power to demand
  • Stage land and data halls
  • Use capacity to drive rent
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Fermi’s 11 GW Bet: Turning Permits Into Compute Power

Fermi Inc.’s key activities are securing permits, land, and grid approvals, then building the Amarillo integrated energy-and-data campus in phases. The campus spans 5,236 acres and is planned for up to 11 GW, so execution is really about turning power access into usable compute capacity.

Key activity Relevant data
Permitting Multi-agency approvals
Buildout 5,236 acres
Power scale Up to 11 GW
Demand backdrop U.S. data centers used 176 TWh in 2023

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Resources

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Amarillo, Texas headquarters

Fermi's Amarillo, Texas headquarters anchors day-to-day coordination with regional stakeholders, vendors, and permitting teams, which matters in a capital-heavy buildout. The Texas grid is served mostly by ERCOT, covering about 90% of the state, so a local base helps Fermi stay close to power-market and execution decisions.

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Founding team of 3

Fermi Inc. is co-founded by Rick Perry, Toby Neugebauer, and Griffin Perry, giving the company governance, political relationships, and strategic direction from day one. In an early-stage infrastructure buildout tied to a planned 11 GW AI campus in Texas, leadership credibility is a key resource for permits, capital, and partners.

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Integrated campus concept

Fermi’s key resource is its planned energy-plus-data campus: a multi-gigawatt site built to place power generation next to AI compute. That integrated setup lowers grid, land, and interconnect friction versus standalone data center developers, and it is the core differentiator behind the Company Name model.

Land, rights, and permits

Fermi Inc. needs controlled land, water, and grid rights to turn its planned "HyperGrid" campus into buildable assets; its Texas project has been reported at about 11 GW on roughly 18,000 acres, showing how scale starts with site control. Permits and local approvals are the bridge from land bank to revenue, because construction and operations cannot start until zoning, interconnection, and environmental clearances are in place.

  • Secure land before capital spend
  • Permits unlock construction and uptime
  • Site rights de-risk multi-gigawatt plans

Project finance capacity

Fermi Inc. needs project finance capacity because its model is front-loaded: building power, grid, and data center assets can require billions before cash flow starts. In 2026, large AI-campus projects are being funded with long-tenor debt, equity, and structured financing, so capital access is a core resource, not just a support function.

  • Funds energy and data center buildout
  • Matches heavy upfront capital needs
  • Supports long build and ramp periods
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Fermi’s Key Edge: Land, Power, and Leadership

Fermi Inc.’s key resources are its land, power, and grid rights for the planned 11 GW HyperGrid campus in Amarillo, Texas, plus leadership from Rick Perry, Toby Neugebauer, and Griffin Perry. The site’s scale, about 18,000 acres, makes control of permits, interconnects, and water rights central to execution.

Resource Why it matters Data point
Land Enables campus scale About 18,000 acres
Power rights Supports AI load Planned 11 GW
Leadership Aids permits and capital 3 named co-founders
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Value Propositions

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Energy and data center in 1 campus

Fermi’s headline value proposition is one campus that combines energy and data center capacity, so AI tenants can avoid splitting power, land, and build-out across separate projects. Its planned 11 GW campus model is built to cut coordination friction and speed deployment for high-load compute users.

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High-density AI infrastructure support

Fermi Inc.’s campus is built for high-density AI loads, with gigawatt-scale power, advanced cooling, and room to expand as compute needs rise. That matters for customers running large model training and inference jobs, where power and heat management can decide uptime and cost per GPU-hour.

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Purpose-built Texas location

Amarillo gives Fermi Inc. a Texas site built for industrial-scale power needs, with ERCOT serving more than 26 million customers across a market that has drawn over $50 billion in wind and solar investment. That location matters because it can speed power access, simplify deployment, and fit Texas’s large project model.

Single-provider project coordination

Fermi Inc. pitches one team for energy, land, and data center delivery, which cuts handoffs and interface risk on large builds. That matters at hyperscale size: a single 100 MW campus can involve power, site, and construction workstreams that often fail when split across vendors.

One partner can speed decisions and keep scope aligned, especially as U.S. data center load growth is forecast to rise sharply through 2030.

  • One contract, fewer handoffs
  • Lower interface risk
  • Better fit for large deployments

Long-horizon capacity availability

Fermi Inc.’s long-horizon capacity availability is built for utility-like service to large customers, with tenants able to reserve or scale occupied capacity as their AI workloads grow. That matters in a tight AI market, where Fermi’s planned 11 GW campus model supports stable, long-term access to compute power instead of short, fragile allocations.

  • Reserve capacity early
  • Scale with demand growth
  • Reduce supply risk
  • Support large AI tenants
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Fermi’s 11 GW AI Campus Aims to Simplify Massive Power Buildouts

Fermi Inc. bundles power, land, and data center delivery into one campus, aiming to cut handoffs for AI tenants that need fast, high-density compute. Its planned 11 GW campus model fits large users that want reserve-and-scale capacity instead of piecemeal builds.

Metric Data
Planned campus power 11 GW
ERCOT customers 26M+
Texas wind and solar investment $50B+
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Customer Relationships

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Long-term B2B contracts

Fermi Inc.'s planned 11 GW Texas campus points to long-term B2B deals for power and space, the kind that can support billions in buildout costs. Multi-year contracts lock in demand, improve financing visibility, and help match customer load with new infrastructure as it comes online.

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Dedicated account management

Dedicated account management fits Fermi Inc.'s enterprise model because its AI and infrastructure clients need executive-level support for site planning, deployment, and phased expansion. With Fermi Inc. targeting up to 11 GW at Amarillo and a 500 MW first phase, one-on-one teams help manage complex, high-value requests fast.

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Project-based collaboration

Customer relationships are project-based and hands-on, with Fermi Inc. working closely with customers during design, construction, and commissioning before the site is fully operational. The tie is measured by delivery milestones, since large energy projects can run for years and require tight coordination through each phase.

Technical support and SLA focus

Enterprise buyers expect SLA-backed support for uptime, power continuity, and facility performance, because mission-critical outages are costly. Uptime Institute’s 2025 outage data shows 54% of significant outages cost over $100,000, and 16% topped $1 million, so Fermi Inc. must treat support as part of the core product.

  • 24/7 incident response
  • Guaranteed uptime targets
  • Power and cooling checks

Stakeholder trust building

Because Fermi Inc. is early-stage and capital-heavy, trust has to be built early and kept live. In infrastructure markets, long-term contracts often run 10-20 years, so steady updates with tenants, investors, and public stakeholders help reduce perceived execution risk and support financing.

  • Communicate progress on schedule.
  • Share capital and delivery updates.
  • Reassure tenants on reliability.
  • Keep investors informed on milestones.
  • Build trust as a core asset.
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Fermi's Enterprise-First Model Fits Its Massive Texas Buildout

Fermi Inc. will rely on long-term, hands-on enterprise ties: multiyear contracts, dedicated account teams, and SLA-backed support for uptime and power continuity. The model fits its planned 11 GW Texas campus and 500 MW first phase, where customers need close coordination from design through commissioning.

Metric Value
Planned Texas campus 11 GW
First phase 500 MW
Significant outages over $100,000 54% in 2025
Significant outages over $1 million 16% in 2025
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Channels

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Direct enterprise sales

Fermi Inc.’s main go-to-market path is direct enterprise sales, which fits AI and data infrastructure deals that are complex, senior-led, and often run into eight-figure budgets. In 2025, Microsoft, Alphabet, Amazon, and Meta each kept capex in the tens of billions, showing why high-touch selling matches the scale of these contracts.

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Strategic partner referrals

Strategic partner referrals from EPCs, hardware vendors, and financiers can open doors for Fermi Inc. and speed trust with large buyers. In infrastructure, referral-led deals often move faster because third-party validation lowers diligence friction and supports credibility.

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Industry conferences and forums

AI, energy, and data center conferences give Fermi Inc. direct access to operators, investors, and enterprise buyers, and that matters as U.S. data center power demand is projected to jump from 176 TWh in 2023 to 325-580 TWh by 2028. Public thought leadership at these forums can turn technical credibility into deal flow, especially when global AI spend is set to top $632 billion by 2028.

Investor and media communications

For Fermi Inc., investor and media communications are a demand-generation channel: regular press coverage and investor updates can widen awareness for a 2025-formed company backing a large-scale project, helping turn a complex idea into a market-known story. This matters because project-stage firms often need trust first, then demand.

  • Builds market awareness fast
  • Supports investor trust and reach
  • Turns updates into demand signals

Government and community engagement

Government and community engagement is a key channel for Fermi Inc. because local outreach can speed siting, permitting, and public acceptance for a large campus. For major infrastructure, permitting can take 12-36 months, so early dialogue helps cut delays, reduce objections, and lower execution risk.

Strong public-sector ties also support land use, roads, water, and power coordination. In practice, this makes the campus easier to build and operate at scale.

  • Start outreach before permit filing
  • Align local, state, and federal needs
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Fermi’s Go-to-Market: Trust, Permits, and Enterprise Deals

Fermi Inc. reaches buyers through direct enterprise sales, partner referrals, and public forums, which fits a project where U.S. data center power demand is forecast to rise from 176 TWh in 2023 to 325-580 TWh by 2028. Investor, media, and government channels also matter because large AI and campus deals need trust, permits, and local support before revenue starts.

Channel Why it matters
Direct sales High-value, senior-led deals
Partners Faster trust and referrals
Public sector Permitting and siting support
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Customer Segments

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AI hyperscalers

AI hyperscalers like Microsoft, Amazon, Google, and Meta need huge power blocks and dense compute. In 2025, U.S. data center power demand is already one of the fastest-growing load categories, and Fermi’s integrated campus fits operators that need gigawatt-scale, high-density infrastructure in one site.

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Cloud service providers

Cloud service providers need expandable data center capacity and dependable power, and a campus model fits long build-out plans. Microsoft reported FY2025 capital spending above $80 billion, which shows how much hyperscalers value scale, uptime, and fast access to new capacity.

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Colocation and infrastructure tenants

Companies leasing powered space can use Fermi Inc. facilities for fast deployment, and colocation stays attractive because it monetizes power and real estate together. In 2025, CBRE still showed tight U.S. data center supply, with vacancy in major markets at 2.6%, which supports a campus built for large industrial loads and long-term tenants.

Energy-intensive enterprises

Energy-intensive enterprises need dedicated, high-availability compute and storage, plus tight control over site, power, and security. Global data center electricity demand is expected to rise sharply, with AI and cloud workloads driving multi-gigawatt load growth, so Fermi can win by offering customized infrastructure capacity for firms that cannot rely on shared facilities.

  • Dedicated, high-availability capacity
  • Control over location, power, security
  • Fits AI, cloud, and storage loads

Public-sector and defense users

Public-sector and defense users need secure, domestic, and scalable power and compute. With the U.S. Department of Defense requesting $849.8 billion for FY2025, a Texas-based site can fit sensitive workloads that need control, resilience, and U.S. data handling.

  • Secure, domestic infrastructure
  • Texas site supports sensitive workloads
  • Reliability and control matter most
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Fermi Powers AI-Scale Data Centers for Hyperscalers and Government

Fermi Inc. serves AI hyperscalers, cloud providers, and power-hungry enterprises that need gigawatt-scale, high-density compute sites. In FY2025, Microsoft spent over $80 billion on capex, and U.S. data center vacancy stayed near 2.6%, showing strong demand for large, build-ready capacity. It also fits public-sector users that need secure U.S.-based infrastructure.

Segment Need 2025 signal
AI hyperscalers Scale, dense power Microsoft capex >$80B
Cloud/colocation Fast capacity U.S. vacancy 2.6%
Public sector Security, control DoD FY2025 $849.8B
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Cost Structure

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Land acquisition and site prep

Fermi Inc.’s campus model starts with controlling a very large land base; its Amarillo site was announced at about 5,769 acres, which shows how land is a first-order cost, not a minor line item. Site prep adds early cash needs for grading, access roads, utility tie-ins, and other infrastructure before any revenue starts.

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Power plant and substation capex

Power plant and substation capex is Fermi Inc.'s biggest cost bucket: U.S. utility-scale generation often runs about $1,000-$1,500 per kW for gas, while substations and interconnection upgrades can add tens of millions more per site. That spend drives campus economics because every extra $1 billion of capex can reshape power cost, timing, and grid access.

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Data center construction costs

Data center construction costs are driven by facility shells, high-capacity electrical gear, liquid or advanced cooling, and layered security. AI-ready builds can cost about $10M-$15M per MW, often 20%-50% above standard warehouse-style data centers, and spending rises almost linearly as Fermi Inc. adds more MW of capacity.

Engineering, legal, and permitting fees

Engineering, legal, and permitting fees are a material soft-cost line in Fermi Inc.’s buildout, because every major infrastructure asset needs specialist design, environmental review, and regulatory filings. For complex U.S. projects, soft costs often run 10% to 20% of total installed cost, so delays in licensing or land-use approvals can quickly lift spend.

  • Plan for costs through all development stages
  • Expect legal and compliance fees to recur
  • Permitting risk can delay cash flow

These fees also rise with project size and complexity, especially where interconnection, safety, and environmental permits overlap. The key pressure point is time: longer reviews mean more consultant hours, more counsel, and higher carrying costs before revenue starts.

Operations, labor, and financing

Once development starts, Fermi Inc. will carry payroll, maintenance, insurance, and heavy financing costs; with the U.S. policy rate at 4.25% to 4.50% in 2025, interest and capitalized carrying costs can rise fast in a multi-year build. As assets come online, tight operating discipline matters because labor efficiency and uptime will drive margins.

  • Payroll, maintenance, insurance, debt service.

  • Long builds magnify interest carry.

  • 2025 rates kept financing costly.

  • Uptime and labor control protect margins.

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Fermi’s Heavy Upfront Costs Could Pressure Returns

Fermi Inc.’s cost base is front-loaded: land, site prep, power plants, substations, and AI-ready data halls absorb most cash before revenue starts. In 2025, financing stayed costly with the U.S. policy rate at 4.25% to 4.50%, so carry costs and delays matter.

Cost item 2025-2026 signal
Land and site prep 5,769-acre Amarillo site; high early cash need
Power and interconnect About $1,000-$1,500 per kW plus upgrades
AI data center build About $10M-$15M per MW
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Revenue Streams

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Data center leasing fees

Fermi can earn recurring data center leasing fees by renting powered space, often on long terms of 5 to 15 years. In large campus builds, lease income rises with occupied megawatts, so every new tenant or expansion directly lifts recurring revenue; in top U.S. markets, tight supply kept vacancy near 2% to 3% in 2025, supporting pricing power.

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Power sales and energy contracts

Fermi Inc. can earn revenue by selling electricity under contracted power agreements, with long-term PPAs often running 10 to 20 years and making cash flow more predictable. This stream ties generation directly to customer demand, so each megawatt-hour sold can convert plant output into recurring revenue.

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Capacity reservation fees

Customers can pay upfront to reserve future space or power capacity, which gives Fermi Inc. early cash before full buildout and shows real demand for the campus. This model matters in capital-heavy projects, where even one secured reservation can help de-risk financing and support lenders.

Interconnection and infrastructure services

Fermi can bill tenants for shared infrastructure access, such as substations and campus utilities, and bundle those fees into lease or service contracts. This fits a common model in large developments, where one 100+ MW campus can turn power, cooling, and interconnection capacity into recurring revenue, not just rent.

  • Charge for shared utility access
  • Bundle fees with tenant leases
  • Monetize campus-scale infrastructure

Expansion and upgrade contracts

Fermi Inc. can turn growth in customer demand into expansion and upgrade revenue by selling extra capacity, higher power density, and new buildings in later phases. That fits a phased campus model, which is how large AI data centers often scale from initial buildouts into multi-stage projects.

Expansion contracts also help lift lifetime revenue per customer, since new phases can be added without starting a new site. The market backdrop is strong: global data center demand is projected to rise sharply through 2026 as AI workloads keep pushing power and cooling needs higher.

  • New phases add revenue.
  • Higher density lifts ticket size.
  • Extra buildings extend campus value.
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Fermi’s Revenue Model: Long-Term Leases, PPAs, and Early Cash

Fermi Inc.’s revenue comes from long-term data center leases, power sales under 10-20 year PPAs, upfront reservations, and shared utility fees. In 2025, top U.S. data center markets kept vacancy near 2% to 3%, supporting pricing power and expansion income from added MW and new campus phases.

Stream Typical term Value driver
Leases 5-15 years Occupied MW
PPAs 10-20 years MWh sold
Reservations Upfront Early cash

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