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Datavault AI launches first edge GPU sites in New York and Philadelphia, deploying $1.44-1.92B quantum-ready GPU fleet targeting 100+ US cities by end of 2026

New GPU cloud infrastructure provider enters market with significant capital and aggressive domestic expansion, increasing competitive pressure in distributed AI infrastructure sector
Trade pressSlicast · April 16, 2026 · Global · Source: taiwansun.com
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Datavault AI Inc. (NASDAQ:DVLT), a provider of data monetization, credentialing, digital engagement, and real-world asset tokenization technologies, has announced the launch of a quantum-ready high-performance computing GPU network addressing the global AI compute shortage. The first sites are now live in New York and Philadelphia, with commercial availability of the full 48,000-GPU fleet beginning in Q3 2026. The fleet is built on Available Infrastructure's SanQtum AI quantum-resistant edge platform and incorporates Datavault AI's DataValue®, DataScore®, and Information Data Exchange® (IDE®) tokenization capabilities.

The network will be distributed across 1,000 urban micro-edge neocloud sites in more than 100 U.S. cities by the end of 2026, with each site supporting up to 48 GPUs configured for low-latency AI inference and HPC workloads. The equivalent market value of the dedicated 48,000-GPU capacity is estimated at $1.44 billion to $1.92 billion based on current Hopper- and Blackwell-class pricing. Available Infrastructure's SanQtum AI platform provides cyber-secure, zero-trust, quantum-resistant architecture with post-quantum cryptography, with Datavault AI's DataValue®, DataScore®, and IDE® platforms running directly on the SanQtum-secured GPU infrastructure to power real-time data tokenization, monetization, and edge AI workloads at scale.

According to Nathaniel T. Bradley, Founder & CEO of Datavault AI Inc., "The GPU supply crisis has created a two-tier market—hyperscalers with capacity and enterprises waiting in a year-long queue. Our quantum-ready fleet, built on SanQtum AI's cyber-secure edge architecture, gives enterprises a path to secure AI compute, data scoring, and tokenized monetization without waiting for hyperscaler allocations." The network has been built outside the hyperscaler supply chain, which has absorbed the majority of current Hopper- and Blackwell-class GPU capacity, leaving many enterprises facing extended lead times and limited on-demand availability from major cloud providers.

Approximately 30 additional city activations are targeted by early July 2026, with full commercial availability of the 48,000-GPU fleet beginning Q3 2026 and the nationwide network scheduled to be revenue-generating by the end of 2026. The air-cooled, lower-power design is engineered to bypass the power-grid and coolant constraints that have limited hyperscale expansion. The Information Data Exchange® will incorporate AI-powered yield management and branded data asset scoring, with data assets valued for quality, completeness, and quantum encryption, enabling Datavault AI's real-time data tokenization and monetization capabilities to operate at the network edge rather than in centralized cloud regions.

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Datavault AI launches first edge GPU sites in… · Slicast