Datavault AI to Tokenize $1 Billion Edge AI Infrastructure Project

Datavault AI Inc. (NASDAQ: DVLT) announced it will tokenize and monetize Available Infrastructure's Project Qestrel, a nationwide network of cybersecure edge data centers deploying across the United States, using its Information Data Exchange(R) platform and patented tokenization technology. The companies expect the Project Qestrel token ($QEST) program 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.

The tokenization of real-world assets has emerged as a transformative trend in the digital economy. By converting the value of the Project Qestrel network into tradable tokens, Datavault AI is enabling fractional ownership and liquidity for investors, while also providing a mechanism for users to access edge AI computing resources. This approach could democratize access to AI infrastructure, allowing smaller enterprises and individuals to benefit from high-performance computing without the need for significant capital expenditure. The secondary market trading further adds flexibility, potentially creating a dynamic ecosystem where tokens can be exchanged based on demand for computing power.

This development underscores the growing intersection of blockchain technology and artificial intelligence. As AI workloads increasingly shift to the edge to reduce latency and improve efficiency, the need for decentralized, secure data centers becomes critical. Project Qestrel's deployment of 1,000 edge data centers across major U.S. cities positions it to support real-time AI applications in areas such as autonomous vehicles, smart cities, and industrial IoT. The tokenization model could also attract a broader investor base, including those interested in AI and digital assets, thereby accelerating the buildout of the network.

According to industry analysts, the tokenization of infrastructure assets is expected to grow significantly, with real-world asset tokenization projected to reach $16 trillion by 2030. Datavault AI's move with Project Qestrel could set a precedent for similar initiatives, combining the scalability of edge computing with the transparency and efficiency of blockchain-based asset management. For more information on Datavault AI, visit https://dvlt.ai. The full press release is available at https://ibn.fm/XheyV.