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Meta and BlackRock Partner for $14 Billion AI Data Center in Texas

Meta and BlackRock announced a joint venture to build a $14 billion AI data center in El Paso, Texas, spanning 1,000 acres. The project is one of the largest private AI infrastructure investments ever announced.

Wednesday July 29, 2026
Meta and BlackRock Partner for $14 Billion AI Data Center in Texas

TL;DR

Meta and BlackRock announced a joint venture to develop a $14 billion AI data center in El Paso, Texas. The project will span approximately 1,000 acres and represents one of the largest private AI infrastructure investments in history. The site requires no zoning variances, potentially allowing for an accelerated development timeline.

The Project

The El Paso data center will be Meta’s largest AI training facility to date. Key details include:

The site was selected for its proximity to existing fiber optic infrastructure, favorable energy costs, and the absence of zoning complications that have delayed similar projects in other states.

Why Texas

Texas has become the epicenter of AI infrastructure development. The state offers several advantages:

The El Paso project joins a growing list of major AI infrastructure investments in Texas, including Oracle’s $20 billion campus in Austin and Tesla’s AI training center in Austin.

Industry Context

The Meta-BlackRock partnership reflects the growing role of financial institutions in AI infrastructure. Traditional data center financing involved tech companies building and operating their own facilities. The BlackRock partnership represents a new model where financial institutions provide capital and expertise in exchange for long-term returns.

BlackRock’s involvement signals that AI infrastructure is becoming an asset class of its own. The firm manages over $10 trillion in assets and has been increasing its allocation to digital infrastructure. The Meta partnership represents its largest single investment in AI.

For Meta, the partnership reduces the capital burden of building AI infrastructure while ensuring access to the compute needed for its AI research. The company is developing Llama 4, its next-generation open-source language model, and needs massive compute capacity for training.

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