Meta Platforms, Inc. is constructing the Hyperion artificial-intelligence data center in rural Richland Parish, Louisiana [1, 2].

The project represents a massive scaling of AI infrastructure that could transform the local economy of a region seeking jobs and tax revenue [2]. It also highlights the immense energy requirements of next-generation AI models.

The Hyperion facility is described as one of the largest AI data centers in the world [1, 3]. The total projected cost of the project is $200 billion [1, 3], making it the most expensive private infrastructure project in U.S. history [1]. To support this build, Meta has structured $27 billion in off-balance-sheet financing through Blue Owl Capital [1].

To meet the facility's energy demands, the project includes the construction of 10 new natural-gas plants [1]. These plants will provide the necessary power to deliver five GW of AI compute capacity [1]. Some reports indicate the total power requirement for the site could reach up to 7.5 GW [1].

This investment comes as Meta manages a significant budget for infrastructure. The company's capital-expenditure budget for 2026 is $145 billion [1]. Construction is slated for the mid-2020s, with financing structured for this year [1].

The scale of the Hyperion site reflects a broader industry trend of moving data centers to rural areas where land is available and energy can be generated on-site. By integrating its own power generation via natural gas, Meta aims to ensure a stable electricity supply for its compute needs, while bypassing some of the constraints of the existing public power grid.

“The Hyperion facility is described as one of the largest AI data centers in the world.”

The Hyperion project signals a shift toward 'energy-first' AI deployment, where the availability of massive power—rather than just fiber or labor—dictates site selection. By building dedicated gas plants, Meta is attempting to decouple its AI growth from the volatility and limitations of the regional energy grid, effectively becoming its own utility provider to maintain a competitive edge in compute capacity.