AI data center development in Texas is becoming a power-siting story. The question is no longer only where campuses can be built. It is where large-load projects can align with power access, transmission corridors, substations, and the broader data center development pattern already forming across the state.
PowerPlay AI announced an initial 400 MW behind-the-meter AI data center development in the greater Abilene area of West Texas, through a joint venture with a Nasdaq-listed neocloud partner. The company said the project follows site feasibility work, infrastructure assessment, land assembly, and acquisition, with the joint venture now progressing natural gas service agreements and moving toward selection of a preferred independent power producer after its RFP process. PowerPlay AI is targeting delivery of the initial 400 MW of behind-the-meter power in 2028.
The map powered by Rextag Energy DataLink shows why the Abilene location matters. It places the proposed Greater Abilene project inside Texas’s broader data center and high-voltage grid context, showing operational and under-development data centers, 345+ kV and 138+ kV transmission lines, and 345 kV and 138 kV substations across the state.
This is intentionally a grid-context map, not a site engineering map. The source says the development is anchored by existing natural gas infrastructure and adjacent fiber, and is near multiple GW-scale AI campuses already operating, under construction, or recently proposed. The map focuses on the statewide infrastructure pattern behind that claim: Abilene sits between established Texas data center clusters and high-voltage transmission networks that are increasingly important for large-load planning.
Why show the grid for a project designed to run on its own power? Because behind-the-meter does not mean isolated. Future interconnection options, backup supply, and competition with nearby large loads for the same gas, power, and transmission capacity all shape how a campus like this develops.
For data center, power, energy infrastructure, and site-screening teams, the takeaway is clear: a behind-the-meter AI data center project still needs to be understood in regional context. Site-level power plans matter, but so do nearby transmission corridors, substations, competing data center growth, and the broader Texas grid footprint.
Why it matters
· PowerPlay AI announced a 400 MW behind-the-meter AI data center development in the greater Abilene area.
· The project is being developed through a joint venture with a Nasdaq-listed neocloud partner.
· The company is targeting initial behind-the-meter power delivery in 2028.
· The source says the project is progressing natural gas service agreements and moving toward preferred independent power producer selection.
· The source also says the site is anchored by existing natural gas infrastructure and adjacent fiber.
· Greater Abilene is shown in the map within a wider Texas data center and grid infrastructure context.
What the map showsWhat the map shows
A Texas-wide infrastructure view centered on the proposed Greater Abilene PowerPlay AI project.
· Greater Abilene PowerPlay AI project callout, including the 400 MW behind-the-meter AI data center development
· Crusoe / Stargate Abilene Campus shown as nearby data center context
· operational data centers, shown in green
· under-development data centers, shown in purple
· 345+ kV powerlines
· 138+ kV powerlines
· 345 kV substations
· 138 kV substations
· natural gas pipelines around the Abilene area
The map does not imply that nearby data centers, powerlines, substations, or natural gas pipelines are directly connected to or serving the PowerPlay AI project. These layers are shown to place the development within Texas’s broader data center, gas, and high-voltage infrastructure landscape.
A deeper dive with Energy DataLink
Using Rextag Energy DataLink, users can compare proposed data center sites with existing and under-development data centers, transmission lines, substations, and other energy infrastructure layers. That helps teams evaluate where large-load projects sit relative to grid corridors, regional competition, and infrastructure access.
