Meta breaks ground on massive 1GW AI data center in Texas

The frontier AI race is no longer just about hoarding GPUs. It is officially a land and power grab in the desert.

Meta just broke ground on its 29th global data center in El Paso, Texas. Designed from the ground up for massive AI workloads, the campus has the potential to scale up to 1 gigawatt of capacity.

For the initial buildout phase alone, Meta is pouring in over $1.5 billion. The first phase is expected to support roughly 100 operational jobs and more than 1,800 construction workers on site at peak.

Future-proofing the hardware floor

AI hardware configurations are evolving at a breakneck pace. Build a rigid facility today, and it risks turning obsolete before the concrete even cures.

Meta designed the El Paso site with modular flexibility at its core. The physical layout and networking infrastructure can host today’s standard server clusters as well as upcoming generations of specialized AI accelerators.

Every piece of hardware here is aimed at powering frontier model training and long-term bets on superintelligence. The computing muscle will also feed consumer products already in market, from Meta AI assistants and smart glasses to real-time voice translation and generative video tools.

This marks Meta’s third data center hub in Texas, where the company has already invested over $10 billion and employs more than 2,500 people across offices and labs.

Cooling down a 1GW beast in West Texas

Running a massive compute cluster in an arid border town immediately raises two critical questions: power grid stability and water conservation.

To tackle cooling, Meta is deploying a closed-loop liquid cooling architecture. The system recirculates the same coolant continuously, allowing the site to operate with zero operational water consumption for the vast majority of the year.

The facility is slated to achieve LEED Gold certification. Meta also pledged to restore 200% of the water it consumes back to local watersheds, teaming up with nonprofits like DigDeep to bring running water to underserved neighborhoods.

On the energy side, electricity usage will be matched with 100% clean and renewable power. Meta teamed up with local utility El Paso Electric, footing the bill for new transmission lines and substations needed to tie into the regional grid.

Why it matters

We are watching the AI arms race graduate from chip purchases to utility-scale electrical engineering. A gigawatt is roughly the output of a commercial nuclear reactor, and securing that scale in a single location gives Meta a massive runway for training next-generation foundation models without running into regional power bottlenecks.

For developers and everyday users, this infrastructure is what keeps Meta’s aggressive open-source model releases financially viable. Massive, highly optimized in-house facilities drive down unit compute costs, allowing Meta to subsidize public models while powering hardware like Ray-Ban smart glasses.

Meta was smart to address local water and grid friction proactively by funding closed-loop cooling and paying for its own substation upgrades upfront. Still, the risk is capital exposure. Building 1GW campuses takes years, and locking massive balance-sheet capital into physical sites assumes hardware architectures won't radically pivot in ways that render traditional megaclusters inefficient.