By Tredu.com • 10/15/2025
Tredu
Meta Platforms announced a $1.5 billion commitment toward building a new AI data center in El Paso, Texas, aiming to scale capacity to support next-generation AI workloads. The facility will add to Meta’s global data center portfolio and underscores its deepening bets on AI infrastructure.
The El Paso facility is Meta’s 29th data center globally and its third in Texas. The project is slated to begin operations in 2028, with scale-out potential reaching 1 gigawatt.
Meta cited El Paso’s strong electrical grid and local skilled workforce as key locational advantages. To align with its sustainability goals, the data center will run on 100% renewable energy and employ a liquid-cooling, closed-loop system that recycles water.
The new site is expected to produce ~100 permanent jobs and require 1,800 construction workers at peak. Meta also pledged to restore twice as much water as the facility consumes, exceeding its 2030 “water-positive” targets.
A 1-gigawatt data center for AI workloads is massive, by design, it enables high density compute, large clusters, and energy-intensive cooling and power demands. With Meta deepening its AI ambitions, robust infrastructure is no longer ancillary, it is foundational.
As Meta competes with Amazon, Microsoft, Google, and other AI infrastructure builders, owning flexible compute real estate gives it leverage in negotiations, performance, and cost control across its AI stack.
Meta’s renewable and water-recycling design shows how AI infrastructure must increasingly anchor in sustainable practices, especially to address environmental scrutiny and regulation.
Texas is becoming a battleground for tech infrastructure. Meta’s investment adds to a pipeline of data center growth across the state, potentially attracting further partners, incentives, and ecosystem clustering.
Meta’s $1.5 billion commitment to a new AI data center in Texas is more than expansion, it’s a statement of intent. As data center infrastructure becomes central to AI competitiveness, Meta is placing its bets where compute meets power, design meets sustainability, and scale meets speed.
The core theme: in the race for AI infrastructure dominance, scale and strategic location may decide who leads.
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