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Houston-area company specializing in creating clean campuses announces new data center project

Crusoe Energy Systems announced its plans to build the 200 MW data center at the Lancium Clean Campus outside Abilene, Texas. Photo via lancium.com

A California AI infrastructure company has announced it's building a 200 megawatt data center in Texas and will work with The Woodlands-based Lancium, a decarbonization-focused energy technology company.

Crusoe Energy Systems LLC announced its plans to build the 200 MW data center at the Lancium Clean Campus outside Abilene, Texas. The two companies will work to bring the data center online in the coming months, reports Lancium in a news release. Once completed, the first phase will enable AI workloads at scale across 1.2 gigawatts of power capacity.

“Lancium’s mission to decarbonize compute for the most energy-intensive workloads and this scale and type of data center is game-changing,” Michael McNamara, co-founder and CEO of Lancium, says in the release. “Our energy management expertise, the integration of incremental storage and solar generation resources behind-the-meter at the campus, and Crusoe’s design approach will combine to deliver the maximum amount of green energy at the lowest possible cost, while bringing significant benefits to the Abilene community.”

Lancium's role will include "land acquisition, power interconnect, site engineering, renewables interconnect, and power orchestration," per the release. Crusoe will own and develop the data center, which is expected to go online in 2025.

“Data centers are rapidly evolving to support modern AI workloads, requiring new levels of high density rack space, direct-to-chip liquid cooling and unprecedented overall energy demands. We’ve designed this data center to enable the largest clusters of GPUs in the world to drive new breakthroughs in AI,” adds Chase Lochmiller, Crusoe’s co-founder and CEO. “Given its leadership in renewable energy and plans for the site, working with Lancium in Abilene presents a unique opportunity to sustainably power the future of AI and we’re thrilled to have the support of the city in this ambitious endeavor.”

According to the release, the project will feature direct-to-chip liquid cooling or rear-door heat exchangers and will be flexible enough to include air cooling. Once completed, each building within the data center will be able to operate up to 100,000 GPUs on a single integrated network fabric, according to the companies.

Lancium has raised $150 million since its founding in 2017, according to Crunchbase. Investors include Hanwha Solutions and SBI Group.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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