Key Highlights
- Datavault AI (DVLT) finalized a binding term sheet with Scilex Holding (SCLX) for a $120 million capital injection
- The agreement grants Scilex tiered revenue participation: 30% until $250M in payments, 15% until $1.2B total, then 5% thereafter
- Capital will support deployment of quantum-resistant GPU edge computing infrastructure spanning approximately 100 metropolitan areas
- First sites in New York and Philadelphia scheduled for activation during Q2 2026
- The company reports current ownership of Nvidia GPU inventory valued at $1.2 billion in today’s market
Datavault AI (DVLT) has entered into a binding term sheet arrangement with Scilex Holding (SCLX) that brings $120 million in capital to support a large-scale GPU infrastructure expansion across the United States. The financing mechanism centers on revenue sharing instead of equity ownership, preserving current shareholder stakes from dilution.
The payment framework operates in stages. Scilex will collect 30% of gross network-generated revenues until receiving aggregate payments of $250 million. The percentage then adjusts downward to 15% until total distributions reach $1.2 billion. Following that milestone, Scilex’s share decreases to 5% of ongoing revenues.
The funding will support construction of what Datavault AI characterizes as a quantum-resistant edge network — distributed micro data centers featuring quantum-safe encryption protocols and GPUs optimized for artificial intelligence processing at network edges.
Datavault AI has selected Available Infrastructure’s SanQtum platform to serve as the foundational technology. Each installation incorporates zero-trust security architecture, sovereign private cloud capabilities, and localized GPU computational resources.
CEO Nathaniel T. Bradley emphasized that the arrangement enables the company to advance its infrastructure objectives while avoiding new equity issuance. The preservation of existing ownership percentages represents a central feature of the transaction.
Implementation Schedule
The infrastructure deployment follows a phased approach. The companies have established targets of 25 operational sites within one year of transaction completion, 50 locations by the two-year mark, and complete 100-city coverage within three years.
New York and Philadelphia will serve as initial launch markets, with these installations projected to become operational during the second quarter of 2026. The capital transfer itself will occur across multiple tranches, with the final installment scheduled before the conclusion of 2026.
Datavault AI has disclosed existing inventory of Nvidia GPUs carrying a present-day market valuation of $1.2 billion, which the company indicates will facilitate the nationwide expansion.
Financial Forecasts
Available Infrastructure CEO Dan Gregory shared ambitious revenue estimates. He referenced potential annual income ranging from $100 million to $1 billion per individual city, translating to aggregate revenue possibilities between $10 billion and $100 billion across the complete 100-location network.
These figures represent forward-looking estimates rather than committed outcomes, and the parties have yet to execute a definitive agreement. Additional work remains to finalize representations, warranties, and standard contractual provisions.
Datavault AI also highlighted an expected total cash position exceeding $200 million when accounting for anticipated Bitcoin liquidation proceeds and receivable collections — all achieved while maintaining zero equity dilution.
Shares of DVLT declined 1.22% while SCLX dropped 3.60% following the announcement.
