AZIO AI says it signed AT&T fiber deal for Texas AI campus

AZIO AI said the AT&T agreement will support its initial Texas campus and help standardize connectivity across the site.

AZIO AI says it signed AT&T fiber deal for Texas AI campus

AZIO AI Holdings said on July 31, 2026, that it executed a master services agreement with AT&T to provide enterprise fiber connectivity for its initial 500-megawatt Texas AI infrastructure platform.

The company said the agreement is intended to support network buildout at the campus and create a standardized connectivity framework across the site. AZIO AI said the fiber network is intended to support AI training, inference, GPU cloud computing, enterprise colocation and other high-performance computing workloads.

AZIO AI said the agreement is part of its broader hyperscale AI strategy and could help streamline deployment as it pursues potential offtaker opportunities.

In the release, AZIO AI described itself as a technology infrastructure company focused on AI data centers, enterprise GPU compute infrastructure, digital power solutions and high-performance computing. It said its broader plan involves scalable, affordable LNG energy-backed data center capacity.

The company also said there has been significant interest in the project and pointed to a recent power purchase and hosting agreement with one of its GPU customers. AZIO AI said that agreement would require a quick modular buildout on the property.

Chief Operating Officer Sir Elgin Tracy said reliable enterprise connectivity is foundational to AI infrastructure. He said the AT&T agreement supports the initial 500-megawatt Texas AI platform and creates a scalable operating model for future expansion.

The release included standard forward-looking statement language. It said actual results could differ because of financing, customer demand, utility availability, regulatory approvals and network deployment timelines.

Sources

Editorial note: This article was prepared with AI assistance and includes source attribution for reader review.

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