A developer in the Texas Panhandle is proposing one of the largest single-site energy projects ever attempted in the United States, a campus designed to generate about 11 gigawatts of electricity on its own land to feed a sprawling complex of data centers. The plan, put forward by Fermi America for a site near Amarillo, would combine nuclear reactors, natural gas turbines, solar arrays, and wind alongside battery storage, an unusually broad mix intended to keep power flowing around the clock.
If built as described, the campus would rival the output of the biggest conventional power stations in the country while sitting behind a private fence rather than on the public grid. The proposal reflects how the soaring electricity demand of artificial intelligence is pushing developers to build their own power plants rather than wait for the public grid to catch up.
The scale of the proposal
The headline figure is 11 gigawatts of on-site generation, an amount its backers describe as enough to power roughly 8 million homes. That capacity would be paired with about 18 million square feet of data center space, the kind of footprint being driven by the surge in demand for artificial intelligence computing, which consumes electricity at a rate that strains existing grids. The project, branded the HyperGrid campus, is laid out across roughly 5,800 contiguous acres near the Pantex site, a location detailed in an analysis of the 11-gigawatt energy and data complex.
Assembling that much land in a single block is central to the concept. Contiguous acreage lets the developer place reactors, gas turbines, substations, and server halls side by side, minimizing the transmission losses and permitting hurdles that come with moving power across long distances. The design effectively treats generation and consumption as one integrated system rather than as separate businesses connected by wires.
A deliberately mixed power supply
The four-source generation plan is the project’s defining feature. Roughly 4 gigawatts would come from nuclear power using Westinghouse AP1000 reactors, a large light-water design already deployed elsewhere, while the remainder would be drawn from natural gas, solar, wind, and battery storage. The combination is meant to balance the strengths of each: gas and nuclear provide steady baseload output, solar and wind add lower-cost energy when conditions allow, and batteries smooth the gaps.
The Amarillo area was chosen in part because it offers the raw ingredients for such a mix. The region sits near major natural gas pipelines and one of the nation’s largest gas fields, has strong solar potential, and lies in a corridor known for wind resources. High-capacity fiber connections in the area also matter for a facility built around data centers, which need both abundant power and fast network links to be useful.
Why AI demand is driving it
The project is a direct response to the electricity appetite of modern computing. Training and running large artificial intelligence models requires dense clusters of specialized chips that draw enormous, continuous power, and operators have increasingly found that local grids cannot supply new capacity on the timeline they want. Building generation on the same site as the computers is a way around that bottleneck, giving the data centers a dedicated supply rather than a place in line for grid upgrades.
That logic explains the campus model spreading across the industry. Rather than requesting ever-larger connections to public utilities, some developers are choosing to become power producers themselves. The Fermi America proposal takes that approach to an extreme scale, aiming to co-locate multiple gigawatts of generation with the load it is meant to serve so the two can be planned and built together.
An academic partnership behind the plan
The effort is being pursued in conjunction with the Texas Tech University System, a partnership that ties the commercial venture to a research institution. University involvement can support workforce training, engineering research, and regional economic development, and it lends the project an academic anchor in a part of the state where Texas Tech has a significant presence. Details of the collaboration and the campus concept have been described in materials from Fermi America.
Such arrangements can also help with the practical challenges of a project this size, from securing skilled workers to navigating the technical demands of building and operating advanced reactors. Whether the academic tie meaningfully changes the odds of completion is uncertain, but it signals an intent to root the development in the surrounding community rather than treating it purely as a private industrial site.
Timeline and open questions
The developer has outlined a phased schedule, with early geotechnical work underway and a first gigawatt of capacity targeted to come online by late 2026, while the full buildout of nuclear generation is projected to stretch to around 2032. Those dates describe intentions rather than completed milestones, and projects of this magnitude routinely face delays tied to financing, supply chains, regulatory review, and the long lead times of building new reactors.
Considerable uncertainty therefore surrounds whether the campus will be realized at the advertised 11-gigawatt scale, or on the stated timeline. Nuclear construction in the United States has a history of cost overruns and schedule slips, and permitting for reactors is a multi-year process. Even so, the proposal illustrates how far the economics of AI and energy have shifted: a single private developer is now contemplating a generation complex on the order of a large utility’s entire fleet, built expressly to power computers. The plan is ambitious by design, and its progress over the coming years will be a test of whether such self-contained energy-and-data megaprojects can move from announcement to operation.
This article was produced with the assistance of AI and reviewed by Morning Overview editors prior to publication.
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