Key Highlights
- Datavault AI (DVLT) has entered into a binding term sheet with Scilex Holding (SCLX) for a $120 million capital injection
- The deal structure grants Scilex tiered revenue participation: 30% until $250M recovered, 15% until $1.2B, then 5% thereafter
- Capital deployment targets a quantum-resistant GPU edge computing network spanning approximately 100 metropolitan areas
- First network nodes scheduled to launch in New York and Philadelphia during Q2 2026
- Company reports existing inventory of Nvidia GPUs currently valued at $1.2 billion in market terms
Datavault AI (DVLT) has formalized a binding term sheet with Scilex Holding (SCLX) that brings $120 million in capital to the table for a large-scale GPU infrastructure expansion. The arrangement is structured around revenue participation instead of equity ownership, preserving the capital structure for current DVLT stockholders.
The financial arrangement operates on a sliding scale. Scilex will collect 30% of total network revenues until receiving cumulative payments of $250 million. The participation rate then adjusts to 15% until aggregate distributions reach $1.2 billion. Once that milestone is crossed, Scilex’s share reduces to 5% going forward.
The financing will support construction of what the firm describes as a “quantum-ready edge network” — distributed micro data centers featuring quantum-resistant security protocols and GPUs optimized for edge-based artificial intelligence computing.
Datavault AI has selected Available Infrastructure’s SanQtum technology stack as the foundation for this network architecture. Each deployment site incorporates zero-trust security frameworks, private sovereign cloud capabilities, and localized GPU compute resources.
CEO Nathaniel T. Bradley emphasized that the transaction enables aggressive infrastructure scaling while avoiding new share issuance. The equity-preservation feature represents a significant element of the deal’s appeal.
Phased Rollout Strategy
The deployment follows a multi-phase timeline. The partners are committing to 25 operational sites within the first year after transaction close, expanding to 50 sites by the two-year mark, and achieving the complete 100-city network within three years.
New York and Philadelphia represent the initial deployment markets, with both locations projected to come online during the second quarter of 2026. The capital transfer itself will occur across multiple installments, with the final tranche scheduled for completion before year-end 2026.
Datavault AI maintains it currently possesses an inventory of Nvidia GPUs that carry a present market valuation of $1.2 billion, which the company indicates will underpin the nationwide expansion.
Financial Outlook
Available Infrastructure CEO Dan Gregory shared ambitious revenue projections for the initiative. He suggested each city could generate between $100 million and $1 billion in annual revenue, translating to potential aggregate revenues of $10 billion to $100 billion when extrapolated across all 100 deployment sites.
These figures represent forward-looking estimates rather than contractual commitments, and the parties have yet to execute a definitive agreement. Standard contract provisions including representations, warranties, and closing conditions remain under negotiation.
Datavault AI additionally highlighted an expected cash position exceeding $200 million when factoring in anticipated Bitcoin liquidation proceeds and outstanding receivables — all structured to avoid shareholder dilution.
DVLT shares declined 1.22% while SCLX dropped 3.60% on the announcement date.
