We delivered early engineering for a gigawatt-scale AI training campus in Texas – one of the most ambitious behind-the-meter developments in the US. Our team defined a buildout strategy that supports 99.95% availability, meets regional air permitting requirements and enables a scalable, multi-building operation. At full development, the site will integrate up to 5 GW of gas generation, 1,250 MW of solar PV and utility-scale battery storage, supported by new substations and transmission infrastructure. This work shows how we help customers navigate complex technical and regulatory challenges to design next-generation energy systems for AI growth.
Optimizing CCUS for decarbonization
Integrating power and cooling for industry-scale density data centers
As data centers grow in size and compute intensity increases significantly, many operators are turning to on-site power generation. Further, we’re helping customers explore how co-locating power and advanced cooling systems can improve performance, reduce lifecycle costs, and support lower-carbon operations.
Our approach
Co-located power and cooling: Assessing toppping-cycle configurations and opportunities for waste-heat recovery.
Hybrid power with storage systems: Integrating storage technologies to add peaking capability, fast response and resilient backup.
Integrated cooling strategies: Connecting generation with liquid cooling and other advanced systems to optimize thermal efficiency.
What this enables
Our assessment aims to identify integrated power-and-cooling solutions that outperform conventional approaches both technically and commercially – helping large campuses improve energy and water efficiency, enhance resilience, and reduce lifecycle costs.
Project highlights at a glance
At full scale, the project will feature approximately 5 GW (5,000 MW) of gas power generation, up to 1,250 MW of solar photovoltaic (PV), and a utility-scale battery energy storage system (BESS).
High-voltage substations and new transmission infrastructure for a campus-wide microgrid.
A planned 20-building, 10-million-sq-ft development with 250 MW per building.
Simple-cycle gas turbines in initial phases to streamline permitting, with options for combined-cycle expansion over time.
Powering the future of AI: Engineering a 5 GW data center campus
We delivered early engineering for a GW-scale AI training campus in Texas, one of the most ambitious behind-the-meter projects in the US. The task: develop a buildout strategy that supports 99.95 percent availability targets, accounts for regional air permitting requirements, and lays the foundation for a multi-building campus operation at scale.
This work demonstrates our ability to define large-scale energy strategies, navigate complex regulatory constraints, and create scalable design pathways for next-generation AI infrastructure.
We delivered early engineering for a gigawatt-scale AI training campus in Texas, one of the most ambitious behind-the-meter projects in the U.S. The task: develop a buildout strategy that supports 99.95% availability targets, accounts for regional air permitting requirements, and lays the foundation for a multi-building campus operation at scale.
We delivered early engineering for a gigawatt-scale AI training campus in Texas, one of the most ambitious behind-the-meter projects in the U.S. The task: develop a buildout strategy that supports 99.95% availability targets, accounts for regional air permitting requirements, and lays the foundation for a multi-building campus operation at scale.
Powering the future of AI: Engineering a 5 GW data center campus
Project highlights at a glance
At full scale, the project will feature approximately 5 GW (5,000 MW) of gas power generation, up to 1,250 MW of solar photovoltaic (PV), and a utility-scale battery energy storage system (BESS).
High-voltage substations and new transmission infrastructure for a campus-wide microgrid.
A planned 20-building, 10-million-sq-ft development with 250 MW per building.
Simple-cycle gas turbines in initial phases to streamline permitting, with options for combined-cycle expansion over time.
We delivered early engineering for a gigawatt-scale AI training campus in Texas, one of the most ambitious behind-the-meter projects in the U.S. The task: develop a buildout strategy that supports 99.95% availability targets, accounts for regional air permitting requirements, and lays the foundation for a multi-building campus operation at scale.
This work demonstrates our ability to define large-scale energy strategies, navigate complex regulatory constraints, and create scalable design pathways for next-generation AI infrastructure.