Datavault AI Launches Quantum-Ready HPC GPU Network in Major U.S. Cities

Datavault AI Inc. (NASDAQ: DVLT) announced that the first sites of its quantum-ready high-performance computing GPU network are now live in New York and Philadelphia, with full commercial availability of its planned 48,000-GPU fleet expected in Q3 2026. The network, designed to operate outside the hyperscaler supply chain, will scale across 1,000 micro-edge sites in more than 100 U.S. cities and support low-latency AI inference, data tokenization and monetization through the company's IDE(R), DataValue(R) and DataScore(R) platforms, positioning it as an alternative source of secure enterprise AI compute capacity amid ongoing GPU supply constraints.

The company's cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Science and Data Science Divisions. Datavault AI's Acoustic Science Division features WiSA(R), ADIO(R) and Sumerian(R) patented technologies and industry first foundational spatial and multichannel wireless HD sound transmission technologies with IP covering audio timing, synchronization and multi-channel interference cancellation. The Data Science Division leverages the power of Web 3.0 and high-performance computing to provide solutions for experiential data perception, valuation and secure monetization.

Datavault AI's technology suite is completely customizable and offers AI and Machine Learning (ML) automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring. The Information Data Exchange(R) (IDE) enables Digital Twins, licensing of name, image, and likeness (NIL) by securely attaching physical real-world objects to immutable metadata objects, fostering responsible AI with integrity. The company's cloud-based platform provides comprehensive solutions serving multiple industries, including HPC software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy and more.

The network deployment comes at a critical time when enterprises face significant challenges in accessing sufficient GPU capacity for AI workloads. By creating a distributed network of micro-edge sites, Datavault AI aims to provide localized, low-latency computing resources that bypass traditional hyperscaler infrastructure. This approach could potentially reduce dependency on major cloud providers while offering specialized services for data tokenization and monetization. The quantum-ready aspect of the network suggests forward-looking infrastructure planning, preparing for future computational paradigms while addressing current market needs.

The company's announcement positions its technology as addressing multiple emerging market needs simultaneously: the demand for AI compute capacity, the growth of Web 3.0 applications, and the increasing importance of data monetization strategies. By integrating these capabilities through its proprietary platforms, Datavault AI seeks to create a differentiated offering in the competitive HPC and AI infrastructure market. The planned expansion to 1,000 sites across more than 100 U.S. cities represents a significant infrastructure investment that could reshape how enterprises access and utilize high-performance computing resources for AI applications.

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