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What are Prometheus and Hyperion? Meta AI campuses explained
The latest build status for Meta’s Ohio and Louisiana AI campuses, and what remains future capacity.
Plain-English definition
Prometheus and Hyperion are Meta AI infrastructure projects in Ohio and Louisiana. Prometheus is under development with a 2026 operating target, while Meta expects Hyperion to begin coming online in 2028 and scale toward 5 gigawatts once complete. These targets describe future scale, not commissioned compute available today.
Memory trick: A city-sized construction plan describes possible future rooms, not desks available to rent today.
Why it matters
Prometheus and Hyperion are Meta AI infrastructure projects designed to support very large-scale compute. Prometheus is a planned 1-gigawatt cluster under development around New Albany, Ohio, with a 2026 operating target. Meta says Hyperion construction is well underway in Richland Parish, Louisiana; it is expected to begin coming online in 2028 and scale toward 5 gigawatts once complete.
- They are designed for AI workloads at far larger scale than conventional enterprise computing.
- They require multiple data-center buildings and highly coordinated infrastructure.
- They show why power delivery, thermal management, and networking become system-level concerns.
- Hyperion’s 2028 start and eventual 5-gigawatt scale are targets, not commissioned capacity today.
- They are useful examples of how frontier AI demand changes the physical form of compute.
- It shows that leading AI operators are planning capacity at industrial scale.
- It connects compute growth directly to grid, land, construction, and regional infrastructure.
- It raises the importance of deployment timing, not just headline chip counts.
- It helps readers understand why future compute supply may increasingly be measured in campuses and gigawatts.
Simple example
As AI infrastructure grows, the planning unit changes. The market moves from thinking about servers, to data centers, to full campuses and regional infrastructure systems.
Cluster
Many systems working together.
Data center
A facility supporting large deployments.
Campus
Multiple facilities and power systems operating as one large compute platform.
Prometheus and Hyperion help explain what happens when compute becomes campus-scale infrastructure. Any figures shown are illustrative calculations, not current quoted market prices.
Sources
Construction status and operating targets were rechecked on Sep 16, 2026. Secondary reporting is identified where Meta does not publish the same detail directly.
Hyperion development joint venture
Meta says construction is well underway and gives the Richland Parish location, ownership structure, and approximately $27 billion development cost.
Meta infrastructure roadmap
Meta describes Prometheus as a 1-gigawatt cluster under construction and expects Hyperion to begin coming online in 2028, with capacity scaling toward 5 gigawatts once complete.
Meta energy agreements for AI operations
Meta identifies Prometheus in New Albany, Ohio as an operation supported by its long-term energy strategy.
Prometheus construction and 2026 target
Local reporting attributes the construction status and operating target to a Meta spokesperson and Meta’s public project timeline.
Common mistake
Once AI infrastructure reaches multi-gigawatt scale, the challenge changes. The problem is no longer only adding more servers; it is coordinating power, buildings, cooling, networking, and operations across a much larger physical system.
- More chips: Adds raw hardware capacity.
- More infrastructure: Requires power, cooling, networking, and facilities to scale with it.
- Industrial compute: What emerges when many facilities operate as one large AI platform.
Practical takeaway
What you can do with this
Interpret multi-gigawatt campus plans by tracking power delivery, construction stages, cooling, equipment, commissioning, and workload readiness instead of treating total planned scale as live supply.
- Investors and analysts: distinguish prospective electricity demand from operating compute output.
- Buyers: monitor whether new capacity becomes accessible or is committed internally.
Decision check: translate a campus announcement into market supply only at the stage supported by evidence.
Compute College learning path
Specialty lessons
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