Datavault AI Launches Quantum-Ready HPC GPU Network in New York and Philadelphia, Plans 48,000-GPU Fleet by Q3 2026

Datavault AI (NASDAQ: DVLT) announced the activation of its quantum-ready HPC GPU network sites in New York and Philadelphia, with a planned 48,000-GPU fleet across 1,000 micro-edge sites in over 100 U.S. cities by Q3 2026, offering an alternative to hyperscaler AI compute amid GPU supply constraints.

NY Metrowire Staff
Technology
Datavault AI Launches Quantum-Ready HPC GPU Network in New York and Philadelphia, Plans 48,000-GPU Fleet by Q3 2026

Datavault AI Inc. (NASDAQ: DVLT) has announced the launch of the first sites of its quantum-ready high-performance computing (HPC) GPU network 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.

This development positions Datavault AI as an alternative source of secure enterprise AI compute capacity amid ongoing GPU supply constraints. The company’s network aims to address the growing demand for AI compute power that is not dependent on major cloud providers. By leveraging micro-edge sites, Datavault AI intends to provide low-latency services for applications requiring real-time data processing and AI inference.

Datavault AI’s cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Science and Data Science Divisions. The Acoustic Science Division features patented technologies including WiSA(R), ADIO(R) and Sumerian(R) for spatial and multichannel wireless HD sound transmission. The Data Science Division leverages Web 3.0 and high-performance computing for experiential data perception, valuation and secure monetization. The Information Data Exchange(R) (IDE) enables Digital Twins and licensing of name, image, and likeness (NIL) by securely attaching physical real-world objects to immutable metadata objects.

The company serves multiple industries, including HPC software licensing for sports and entertainment, events and venues, biotech, education, fintech, real estate, healthcare, and energy. Its technology suite includes AI and Machine Learning automation, third-party integration, detailed analytics, marketing automation and advertising monitoring.

For more details, the full press release is available at https://ibn.fm/CDArB. The latest news and updates relating to DVLT are available in the company’s newsroom at https://ibn.fm/DVLT.

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