AZIO AI Secures AT&T Fiber Deal for 500MW Texas AI Data Campus
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AZIO AI Executes Master Services Agreement with AT&T to Provide Fiber Interconnectivity on its First 500MW AI Data Campus
Enterprise fiber connectivity agreement establishes the digital infrastructure foundation supporting AZIO AI's initial 500-megawatt Texas AI data center platform and creates a standardized framework for future expansion HOUSTON, July 31, 2026 (Newswire.com) - AZIO AI Holdings, Inc. (NASDAQ:AZIO) ("AZIO AI" or the "Company"), a technology infrastructure company focused on developing, owning, and operating artificial intelligence data centers, enterprise GPU compute infrastructure, digital power solutions, and high-performance computing, today announced that it has executed a Master Services Agreement (MSA) with AT&T to provide enterprise fiber connectivity supporting the Company's initial 500-megawatt Texas AI infrastructure platform. The agreement establishes a standardized enterprise connectivity framework across AZIO AI's initial Texas campus development. It delivers the high-capacity, low-latency network infrastructure required to support AI training, inference, GPU cloud computing, enterprise colocation, and other high-performance computing workloads. Under the terms of the MSA, AZIO AI has executed an agreement in partnership with AT&T to supply enterprise fiber connectivity services for its site with 500MW power availability. The MSA is also expected to streamline network deployment as the Company moves to bring in potential offtaker opportunities consistent with its hyperscale AI strategy. There has been significant interest and most recently a Power Purchase and Hosting agreement with one of AZIO AI's GPU customers which will necessitate a quick to market modular buildout on this property. This connectivity foundation is a critical enabler of AZIO AI's broader hyperscale AI strategy as it sets its hyperscaler campus up for the next phases of construction. The strategy prioritizes scalable, affordable LNG energy-backed data center capacity designed to meet the expanding demand for GPU cloud and next-generation AI workloads. Unlike many urban data center developments that can encounter land-use and community constraints, AZIO AI's initial Texas campus is positioned in an area intended to accommodate large-scale industrial infrastructure. Elgin Tracy, Chief Operating Officer of AZIO AI, commented: "Reliable enterprise connectivity is foundational to AI infrastructure. This agreement establishes the networking framework supporting our initial 500-megawatt Texas AI platform while creating a scalable operating model that can support future expansion as additional projects move forward under our hyperscale AI strategy." Highlights * Master Services Agreement executed with AT&T for enterprise fiber connectivity supporting AZIO AI's Texas AI infrastructure platform. * Under the MSA, AZIO AI has committed approximately $2.4 million for high-capacity fiber services. * Initial deployment supports AZIO AI's first planned 500 MW Texas AI data center infrastructure platform. * Designed for high-bandwidth, low-latency AI training, inference, GPU cloud, and HPC workloads. * Standardized networking framework intended to facilitate future infrastructure expansion. * Advances AZIO AI's long-term hyperscale AI strategy of building scalable, energy-backed AI infrastructure. About AZIO AI Holdings, Inc. AZIO AI Holdings, Inc. (NASDAQ:AZIO) is a technology infrastructure company focused on developing, owning, and operating artificial intelligence data centers, enterprise GPU compute infrastructure, digital power solutions, and digital asset mining operations. The Company operates an integrated AI infrastructure business encompassing AI data center development, the sale and distribution of enterprise GPU systems and server infrastructure, high-performance computing solutions, power hosting, and strategic technology investments, serving enterprise and institutional customers across domestic and international markets. Through this diversified AI infrastructure strategy, the Company is positioned to capitalize on the rapidly expanding global demand for AI infrastructure, compute capacity, digital power, and next-generation AI technologies. For more information, visit www.azioai.ai. Forward-Looking Statements This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. These include statements regarding planned infrastructure development, anticipated deployments, expected benefits of the Master Services Agreement, future expansion opportunities, planned power capacity, and the Company's hyperscale AI strategy. Actual results may differ materially due to risks and uncertainties, including financing, customer demand, utility availability, regulatory approvals, network deployment timelines, and other factors described in the Company's filings with the U.S. Securities and Exchange Commission. AZIO AI undertakes no obligation to update any forward-looking statements except as required by law. Media Contact: AZIO AI Merrick Alpert, Chief Communications Officer Telephone: (870) 970-3355 Email: [email protected] SOURCE: AZIO AI Holdings, Inc. Source: Azio AI Holdings, Inc.
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Azio AI Signs AT&T Fiber Deal to Support 500 MW Texas AI Data Center
Azio AI Holdings, Inc. formerly Envirotech Vehicles, Inc., is a technology infrastructure company focused on developing, owning, and operating artificial intelligence (AI) data centers, enterprise Graphics Processing Unit (GPU) compute infrastructure, digital power solutions, and digital asset mining operations. The Company operates an integrated AI infrastructure business encompassing AI data center development, the sale and distribution of enterprise GPU systems and server infrastructure, high-performance computing solutions, power hosting, and strategic technology investments, serving enterprise and institutional customers across domestic and international markets. The Company provides Enterprise GPU servers (NVIDIA H100, H200, and B300 systems); Turnkey AI-compute clusters and training environments; Modular, scalable data-center solutions; High-density GPU rack integration, and Compute-as-a-Service (CaaS) for organizations needing on-demand capacity.
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AZIO AI has executed a Master Services Agreement with AT&T to provide enterprise fiber connectivity for its initial 500MW Texas AI infrastructure platform. The $2.4 million agreement establishes high-capacity, low-latency network infrastructure designed to support AI training, inference, and GPU cloud computing workloads while creating a standardized framework for future expansion.
AZIO AI Secures Critical Network Infrastructure for Texas AI Platform
AZIO AI has executed a Master Services Agreement with AT&T to deliver enterprise fiber connectivity for its initial 500MW AI data campus in Texas
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. The agreement, valued at approximately $2.4 million, establishes the digital infrastructure foundation necessary to support large-scale AI operations across the company's first hyperscale facility1
. This Master Services Agreement with AT&T creates a standardized enterprise connectivity framework designed to accommodate AI training and inference workloads, GPU cloud computing, enterprise colocation, and other high-performance computing workloads1
.Building High-Performance AI Infrastructure at Scale
The fiber connectivity agreement delivers the high-capacity, low-latency network infrastructure required to power AZIO AI's ambitious Texas development. Under the terms of the arrangement, AT&T will supply enterprise fiber connectivity services across the 500MW AI data campus, enabling the company to support GPU-intensive workloads that demand both bandwidth and speed
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. AZIO AI's Chief Operating Officer Elgin Tracy emphasized that reliable enterprise connectivity forms the foundation of modern AI infrastructure, stating the agreement establishes the networking framework supporting the initial 500-megawatt Texas AI platform while creating a scalable operating model for future expansion1
.Strategic Positioning for Hyperscale AI Demands
This connectivity foundation advances AZIO AI's broader hyperscale AI strategy, which prioritizes scalable, affordable LNG energy-backed data center capacity designed to meet expanding demand for GPU cloud and next-generation AI workloads
1
. The company has already secured significant interest from potential customers, including a recent Power Purchase and Hosting agreement with a GPU customer that will require rapid modular buildout on the property1
. The MSA is expected to streamline network deployment as AZIO AI moves to onboard additional offtaker opportunities consistent with its hyperscale approach1
.Related Stories
Integrated AI Infrastructure Business Model
AZIO AI Holdings, Inc., formerly Envirotech Vehicles, Inc., operates an integrated AI infrastructure business that encompasses multiple service offerings
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. The company provides enterprise GPU servers including NVIDIA H100, H200, and B300 systems, turnkey AI-compute clusters and training environments, modular data center solutions, high-density GPU rack integration, and Compute-as-a-Service for organizations requiring on-demand capacity2
. This diversified approach positions the technology infrastructure company to serve enterprise and institutional customers across domestic and international markets2
.Competitive Advantages in Location and Scalability
Unlike many urban data center developments that encounter land-use and community constraints, AZIO AI's initial Texas campus sits in an area specifically intended to accommodate large-scale industrial infrastructure
1
. This strategic positioning enables the company to build high-performance AI infrastructure without the regulatory and physical limitations that often slow urban deployments. The standardized networking framework established through the AT&T agreement is designed to facilitate future infrastructure expansion as the company scales its operations1
. Watch for AZIO AI to announce additional customer agreements and expansion phases as demand for GPU compute capacity continues accelerating across enterprise AI applications.References
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