Datavault AI Raises $60 Million to Accelerate Quantum-Ready GPU Edge Network Deployment

Datavault AI Inc. (NASDAQ: DVLT) has entered into a definitive agreement with institutional investors for a registered direct offering of 109,090,910 shares of common stock, expected to generate approximately $60.0 million in gross proceeds. The company plans to use the funds to deploy its quantum-ready graphics processing unit (GPU) edge network, including build-out and equipment, as well as for working capital and general corporate purposes. The offering is expected to close on or about May 5, 2026, subject to customary conditions.

The capital raise comes as Datavault AI positions itself at the intersection of artificial intelligence and edge computing. The company’s quantum-ready edge GPU fleet, running on Available Infrastructure’s SanQtum AI platform, delivers distributed GPU infrastructure across U.S. metropolitan markets. This infrastructure supports AI inference workloads, real-time data analytics, and secure enterprise computing for customers in financial services, sports, media, and life sciences. The significance of this announcement lies in the growing demand for decentralized computing power to handle AI workloads, as centralized data centers face latency and bandwidth constraints.

Datavault AI, headquartered in Philadelphia, Pennsylvania, operates through its Acoustic Sciences and Data Science divisions. The company develops patented technologies including WiSA, ADIO, and Sumerian acoustic infrastructure, as well as a portfolio of data-licensing and analytics solutions. It also operates platforms supporting digital asset licensing and data-monetization workflows for enterprise clients. The proceeds from this offering will enable Datavault to scale its infrastructure to meet increasing enterprise demand for low-latency AI processing at the edge.

For more details, the full press release is available at https://ibn.fm/GobZP. Investors seeking the latest updates on DVLT can visit the company’s newsroom at https://ibn.fm/DVLT.