TLDR: Energy companies in Texas are making significant investments in large-scale data centers, many exceeding 1 gigawatt (GW) in capacity, to meet the escalating power demands of artificial intelligence and next-generation computing. This strategic pivot involves leveraging diverse energy sources, including nuclear, natural gas, solar, and hydrogen, to establish dedicated power infrastructure for these advanced computing facilities.
Texas is rapidly emerging as a pivotal hub for next-generation computing, driven by a strategic pivot from its traditional energy sector towards powering the burgeoning artificial intelligence (AI) industry. Several major energy and tech firms are investing heavily in gigawatt-scale data centers across the state, aiming to meet the unprecedented power demands of advanced AI workloads.
One significant development involves Fermi America, a Texas company co-founded by former U.S. Energy Secretary Rick Perry. Fermi America is planning to construct a massive energy and data complex near Amarillo. This ambitious ‘Hypergrid’ project, set to launch on July 4th, aims to deliver up to 11 gigawatts (GW) of power from nuclear, natural gas, and solar sources, with 1 GW expected to be online by late 2026. The nearly 5,800-acre campus is specifically designed to host large artificial intelligence data centers, underscoring Fermi’s commitment to providing clean, safe, new nuclear power for America’s next-generation AI infrastructure. Perry emphasized the urgency of this initiative, stating, ‘We’re behind – and it’s all hands on deck. We need to be doing everything in our power to win this race, because this is the race that really matters.’
Another key player, data center firm ECL, announced plans for an $8 billion hydrogen-powered, off-grid site in Texas with an initial 1 GW power capacity, scalable to 2 GW. The first 50-megawatt phase, costing $450 million, already has AI cloud company Lambda as a tenant. ECL intends to power the site with a mix of grey and blue hydrogen upon its summer 2025 startup, transitioning to 80% blue and 20% renewable hydrogen the following year. ECL highlights the critical role of off-grid systems in addressing the surging power demand from data centers and AI, citing ERCOT’s projection that Texas’s electricity demand will double by 2030, and Gartner’s estimate that AI could consume 3.5% of global electricity by the start of the next decade. Yuval Bachar, co-founder and CEO of ECL, stated, ‘While others talk about delivering off-grid, hydrogen-powered data centers in five, ten, or 20 years, only ECL is giving the AI industry the space, power, and peace of mind they and their customers need, now.’
Furthermore, a notable shift is occurring among former Bitcoin mining operations. Houston-based tech company Lancium and Denver-based Crusoe Energy Systems have partnered on a multibillion-dollar deal to build a 200-megawatt data center near Abilene, Texas, specifically tailored for AI companies. This facility represents the initial phase of a larger 1.2-gigawatt build-out, poised to become one of the largest AI data center campuses globally. This transition from cryptocurrency mining to AI infrastructure leverages existing expansive data centers with access to fiber lines and substantial power resources. The Abilene facility, expected to be operational in 2025, will primarily utilize renewable energy sources, with Lancium’s patented technology enabling rapid adjustments in energy demand to balance the grid’s volatile renewable supply.
In a similar vein, an AI startup called CloudBurst has partnered with natural gas pipeline giant Energy Transfer to develop a large, private power plant and an expansive complex of supercomputers for artificial intelligence near New Braunfels. This plant is designed with 1,200 megawatts of planned generation capacity, fueled by West Texas shale gas, and will exclusively supply the new data center and potentially other large data centers in the vicinity. This marks Energy Transfer’s first contract to supply gas for a data center, signaling a new frontier for natural gas infrastructure.
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These developments collectively illustrate a robust and multifaceted effort within the Texas energy landscape to support the exponential growth of AI, transforming the state into a critical backbone for global next-generation computing infrastructure.
