en.Wedoany.com Report on Mar 27th, On March 26 local time, Meta announced a significant increase in its investment for an AI data center in El Paso, Texas, USA, raising it to $10 billion, a substantial expansion from the $1.5 billion commitment made last October. The facility is expected to commence operations in 2028, with the goal of achieving 1 gigawatt of computing capacity before going online. 
This surge in investment reflects Meta's continued heavy investment in AI infrastructure. As a global giant in social media and digital advertising, Meta has significantly ramped up its investments in the AI field in recent years to support the computational power demands of its recommendation algorithms, large language model training, and generative AI applications. Last year, Meta stated it would build an "unprecedented" cluster of AI data centers. The expansion of the El Paso project investment is a continuation of this strategy.
The 1 gigawatt capacity target signifies that this data center will possess ultra-large-scale computational power supply capabilities. Based on current estimates of AI training cluster power consumption, 1 gigawatt of power capacity can support the parallel operation of hundreds of thousands of high-performance GPUs, sufficient for training large models with hundreds of billions of parameters and large-scale inference tasks. The investment jump from $1.5 billion to $10 billion also reflects the rapidly rising cost density of AI infrastructure construction.
Texas has become a hotspot for data center construction in the United States in recent years, attracting several tech giants to establish operations there due to its relatively relaxed regulatory environment, ample power supply, and tax incentives. Meta's expanded El Paso project will synergize with other existing data centers in the region, forming a key computational hub for Meta in the southwestern United States.
Meta stated that the data center will employ advanced liquid cooling technology and renewable energy power supply solutions to address the cooling challenges and carbon emission pressures associated with high-density computing power. With the operational timeline clarified, Meta is accelerating the large-scale deployment of AI infrastructure to maintain competitiveness in the increasingly intense AI race.
