Datavault AI Secures $120M for Massive Quantum-Ready GPU Edge-Network Expansion Across 100 U.S. Cities
April 27, 2026
Datavault AI Inc. has signed a binding term sheet with Scilex Holding Company for a $120 million cash contribution to fund a nationwide, 100-city, quantum-ready GPU edge-network expansion.
Deployment will leverage Available Infrastructure’s SanQtum platform, featuring zero-trust architecture, private sovereign cloud, and localized GPU resources.
Datavault AI has secured approximately $1.2 billion worth of Nvidia GPUs for the rollout, using Available Infrastructure’s micro edge data centers with zero-trust networking and quantum-resilient encryption.
The press release notes forward-looking statements and risks, including the need to execute definitive agreements, potential delays, regulatory considerations for tokenized assets, and other uncertainties.
The deal is planned to close in multiple tranches by the end of 2026, with definitive agreements to include standard representations, warranties, and conditions.
Scilex will participate in revenue sharing under a tiered structure, designed to preserve Datavault AI shareholders’ upside across the rollout.
Initial deployment targets New York and Philadelphia with go-live in Q2 2026, scaling to 25 locations in year one, 50 by year two, and 100 cities within 36 months.
Datavault AI’s CEO emphasizes that the financing is non-dilutive to existing shareholders, maintaining ownership stakes for DVLT and SCLX.
Available Infrastructure projects substantial revenue potential, suggesting $100 million to $1 billion per city annually and $10 billion to $100 billion total across 100 cities, though these are forward-looking projections.
Scilex will receive tiered revenue participation from network revenues: 30% until $250 million, then 15% up to $1.2 billion, and 5% thereafter.
Datavault AI has pursued a broad set of initiatives—including data monetization, tokenization of real-world assets, an NFL Draft ADIO deployment, and plans to list tokens on the Biconomy exchange—alongside a broader GPU network expansion.
Summary based on 10 sources
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Sources

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