AI infrastructure and cybersecurity company Available has announced an ambitious new initiative, Project Qestrel, aimed at reshaping how artificial intelligence is deployed and accessed across the United States. The project will establish a nationwide fleet of private, cybersecure edge data centers designed to bring AI processing closer to where data is generated.

The first phase of the rollout is expected to go live by the end of 2026, spanning 1,000 sites across 100 cities in more than 30 states. At full scale, the initiative represents nearly $5 billion in capital investment, signaling a major shift toward decentralized AI infrastructure.

Each location will be equipped with Available’s SanQtum technology stack, which combines zero trust networking, high-performance computing (HPC), and advanced AI inference capabilities. Early deployments are already underway, with 30 cities set to come online by July through a strategic partnership with wireless infrastructure giant Crown Castle.

The project also brings together key ecosystem partners. Strata Expanse, a data center infrastructure developer, will integrate the network into its Amphix AI Infrastructure Platform. This collaboration is expected to unlock ultra-low-latency AI performance, enhanced cybersecurity protections, and expanded computing capacity for enterprise and government users.

Speaking on the launch, Available CEO Dan Gregory emphasized the urgency of bringing AI closer to the point of use. He noted that Project Qestrel is designed to deliver powerful AI inference exactly where and when it is needed, all within a zero trust framework supported by quantum-resilient cybersecurity measures.

As AI workloads increasingly shift toward edge and hybrid environments, the need for faster, more secure infrastructure has become critical. Project Qestrel addresses this by enabling data sovereignty, allowing sensitive information to remain local while complying with regional data regulations. At the same time, its zero trust architecture and quantum-resistant encryption aim to protect against emerging threats, including the anticipated risks posed by future quantum computing capabilities.

Latency is another key focus. By deploying HPC resources directly at the edge, the network allows mission-critical applications such as public safety systems, energy grid management, and smart city operations—to function without the delays associated with traditional centralized cloud infrastructure.

The system is also designed for rapid scalability. Unlike conventional hyperscale data centers that can take years to build, Available’s modular, air-cooled sites can be deployed within weeks or months. This provides organizations with a faster path to expanding AI capacity, particularly in urban areas where demand is surging.

Each deployment will be co-located at telecom sites with immediate access to power and fiber connectivity. With up to 48 GPUs per site, the network brings significant computing power closer to end users. Many locations will also come pre-integrated with IBM’s watsonx platform, offering enterprise-grade AI capabilities from day one, while remaining flexible enough to support other AI models.

The growing ecosystem around Project Qestrel is already attracting early adopters. Datavault AI has announced plans to leverage the distributed network, beginning with deployments in the New York and Philadelphia regions. The company is focusing on real-time data scoring, tokenization, and monetization—applications that rely heavily on both speed and security.

Industry leaders see this as a defining moment for AI infrastructure. With demand for real-time intelligence accelerating, the future of AI is expected to depend not just on raw computing power, but on how quickly and securely that power can be delivered. Project Qestrel positions itself at the center of this shift, bringing together edge computing, cybersecurity, and scalable infrastructure into a unified, nationwide platform.

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