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Datavault AI to Tokenize $1B Edge AI Infrastructure Program

By Editorial Staff
Datavault AI will tokenize and monetize Available Infrastructure's Project Qestrel, a $5 billion nationwide edge data center network, creating the industry's first large-scale tokenized digital asset class tied to AI compute capacity.
Datavault AI to Tokenize $1B Edge AI Infrastructure Program

Datavault AI (NASDAQ: DVLT) announced plans to tokenize and monetize Available Infrastructure’s Project Qestrel, a nationwide network of cybersecure edge data centers deploying across the United States. The company will use its Information Data Exchange platform and patented tokenization technology for the initiative. The Project Qestrel token ($QEST) program is expected to represent more than $1 billion in tokenized value upon full deployment, providing access and usage rights across the edge AI infrastructure network while supporting secondary market trading. Initial token offerings are targeted for the third quarter of 2026.

Project Qestrel is expected to deploy 1,000 cybersecure edge data centers across 100 U.S. cities and more than 30 states as part of an approximately $5 billion buildout. Datavault AI said the initiative expands its existing relationship with Available Infrastructure and will generate revenue through an equal-sharing arrangement, with Datavault AI providing tokenization, clearing, valuation and exchange services. The companies believe the program represents the industry’s first large-scale tokenization of a live-deploying nationwide edge AI infrastructure network, creating a new digital asset class tied to AI compute capacity.

For business and technology leaders, this development signals a shift in how AI infrastructure can be financed and accessed. By tokenizing edge data center capacity, Datavault AI is creating a liquid market for compute resources, potentially lowering barriers for enterprises that need localized AI processing without the capital expense of building their own data centers. The ability to trade usage rights on secondary markets could also provide flexibility for organizations with fluctuating AI workloads. However, the success of the program hinges on regulatory clarity around digital asset securities and the actual deployment schedule of the 1,000 edge sites.

The broader implications extend to the AI industry, where demand for low-latency compute at the edge is growing rapidly for applications like autonomous vehicles, IoT, and real-time analytics. If Project Qestrel achieves its goals, it could set a precedent for infrastructure-as-a-service models in the AI sector, potentially attracting institutional investors seeking exposure to AI compute without direct operational risks. The tokenization approach also introduces new considerations around data sovereignty and cybersecurity, as each edge data center must maintain compliance with local regulations.

Datavault AI’s platform serves multiple industries, including high-performance computing software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy and more. The Information Data Exchange enables Digital Twins and the licensing of name, image and likeness by securely attaching physical real-world objects to immutable metadata. The company is headquartered in Philadelphia, PA. More information is available at Datavault AI.

For the full press release, visit https://ibn.fm/XheyV.

Forward-looking statements in this article involve risks and uncertainties. See the company’s SEC filings for more details.

Editorial Staff

Editorial Staff

@editorial-staff

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