The worldwide AI calculate lack has actually required business outside the hyperscaler consumer set to wait prolonged durations for high-performance GPU capability.Datavault AI Inc. (“Datavault AI” or the “Company”(NASDAQ: DVLT)a company of information money making, credentialing, digital engagement, and real-world possession (“RWA”tokenization innovations, today revealed that the very first websites of its brand-new quantum-ready high-performance computing (“HPC”GPU network arenow reside in New York and Philadelphiawith industrial accessibility of the complete 48,000-GPU fleet start in Q3 2026.
The fleet will be dispersed throughout 1,000 metropolitan micro-edge neocloud websites in more than 100 U.S. cities by the end of 2026. Each website supports approximately 48 GPUs set up for low-latency AI reasoning and HPC work. Comparable market price of the devoted 48,000-GPU capability is approximated at $1.44 billion to $1.92 billion based upon existing Hopper- and Blackwell-class rates. ONE
The network is constructed outside the hyperscaler supply chain, which has actually taken in most of present Hopper- and Blackwell-class GPU capability and left numerous business dealing with extended preparations and restricted on-demand accessibility from significant cloud companies. Two Available Infrastructure’s SanQtum AI platform offers cyber-secure, zero-trust, quantum-resistant architecture with post-quantum cryptography, which Available Infrastructure refers to as “AI-powered, quantum-ready edge computing.” Datavault AI’s DataValue ®, DataScore ®, and Information Data Exchange ®(IDE ® )platform runs straight on the SanQtum-secured GPU facilities, powering real-time information tokenization, money making, and edge AI work at scale.
“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,”statedNathaniel T. Bradley, Founder & & CEO, Datavault AI Inc. (NASDAQ: DVLT)
Around 30 extra city activations are targeted by early July 2026, with complete industrial accessibility of the 48,000-GPU fleet starting Q3 2026 and the across the country network set up to be revenue-generating by the end of 2026. The air-cooled, lower-power style is crafted to bypass the power-grid and coolant restrictions that have actually restricted hyperscale growth, placing the fleet as an alternative source of safe and secure business AI calculate capability in a market in which a little number of hyperscale cloud suppliers have actually taken in most of present Hopper- and Blackwell-class capability.
IDE ® Yield Management and Branded Data Assets
The Information Data Exchange ®( IDE ® )will integrate AI-powered yield management and top quality information possession scoring, with information properties valued for quality, efficiency, and quantum file encryption. IDE ®, DataValue ® , and DataScore ® will run natively on the SanQtum-secured fleet, allowing Datavault AI’s real-time information tokenization and money making abilities to run at the network edge instead of in central cloud areas.
Sources
1st Current NVIDIA H100 80GB PCIe and SXM rates varies from around $25,000 to $40,000 per GPU, and complete HGX H100 8-GPU systems regularly surpass $350,000, according to released 2026 rates analyses. At a mixed $30,000 to $40,000 per-GPU variety, a 48,000-GPU fleet represents a comparable market price of $1.44 billion to $1.92 billion. Sources: IntuitionLabs, “NVIDIA AI GPU Prices: H100 ($27K-$40K) & H200 ($315K/8-GPU) Cost Guide,” December 2025 – intuitionlabs.ai/ articles/nvidia-ai-gpu-pricing-guide; Northflank, “How much does an NVIDIA H100 GPU cost?” 2026 – northflank.com/blog/how-much-does-an-nvidia-h100-gpu-cost.
Two Hyperscaler booking activity has actually taken in most of NVIDIA’s near-term Hopper- and Blackwell-class allotment, leaving on-demand H100 schedule on significant cloud platforms “genuinely unreliable” for groups without pre-existing scheduled capability. Integrated 2026 hyperscaler capital investment are predicted at around $660-690 billion, driving continual pressure on GPU, memory, and data-center supply chains. Sources: Spheron Network, “GPU Shortage 2026: How to Secure AI Compute When GPUs Are Sold Out,” April 2026 – spheron.network/ blog/gpu-shortage -2026; Introl, “Hyperscaler CapEx Hits $690B in 2026,” February 2026 – introl.com/blog/hyperscaler-capex-690-billion-microsoft-azure-power-bottleneck-2026.
About Datavault AI
Datavault AI ™ (NASDAQ: DVLT) is blazing a trail in AI-driven information experiences, evaluation, and money making of properties in the Web 3.0 environment. The Company’s cloud-based platform offers extensive services with a collective focus in its Acoustic Sciences and Data Sciences departments.
Datavault AI’s Acoustic Sciences department includes WiSA ®, ADIO ® , and Sumerian ® patented innovations and industry-first fundamental spatial and multichannel wireless, high-definition noise transmission innovations with copyright covering audio timing, synchronization, and multi-channel disturbance cancellation. The Data Science department leverages the power of Web 3.0 and high-performance computing to supply options for experiential information understanding, appraisal, and safe money making.
Datavault AI’s platform serves several markets, consisting of high-performance computing software application licensing for sports & & home entertainment, occasions & & locations, biotech, education, fintech, realty, health care, energy, and more. The Information Data Exchange ® makes it possible for Digital Twins and the licensing of name, image, and similarity by firmly connecting physical real-world challenge immutable metadata, cultivating accountable AI with stability. The Company’s innovation suite is completely personalized and provides AI- and machine-learning-based automation, third-party combination, comprehensive analytics and information, marketing automation, and marketing tracking.
The Company is headquartered in Philadelphia, PA. Discover more about Datavault AI at www.dvlt.ai.
Positive Statements
This news release includes “forward-looking statements” (within the significance of the Private Securities Litigation Reform Act of 1995, as changed, and other securities laws) about Datavault AI Inc. (“Datavault AI,” the “Company,” “us,” “our,” or “we”and our market that include threats and unpredictabilities. In many cases, you can recognize positive declarations due to the fact that they include words, such as “may,” “might,” “will,” “shall,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “goal,” “objective,” “seeks,” “likely” or “continue” or the unfavorable of these words or other comparable terms or expressions that issue our expectations, technique, strategies or intents. The lack of these words does not suggest that a declaration is not positive. Such positive declarations, consisting of, however not restricted to, declarations concerning future occasions, the awaited Q3 2026 business schedule of the Company’s 48,000-GPU quantum-ready high-performance computing fleet; the approximated comparable market price of the fleet of $1.44 billion to $1.92 billion; the prepared release and activation of 1,000 metropolitan micro-edge neocloud websites throughout more than 100 U.S. cities by the end of 2026, consisting of the roughly 30 extra city activations targeted by early July 2026 and the set up revenue-generating status of the across the country network by year-end 2026; the anticipated implementation of Available Infrastructure’s SanQtum AI platform; the expected abilities and commercialization of the Company’s DataValue ®, DataScore ®, and Information Data Exchange ® (IDE ®) innovations, consisting of AI-powered yield management, top quality information possession scoring, real-time information tokenization, and edge-based money making; the Company’s capability to provide low-latency AI reasoning, HPC capability, zero-trust security, and quantum-resistant architecture at the network edge; the anticipated positioning of the fleet as an option to hyperscaler-supplied GPU capability; and the anticipated functional, technical, and industrial results of the Company’s business technique, and the predicted instructions and market effects of regulative modifications with regard to digital possessions, are always based upon price quotes and presumptions that, while thought about sensible by the Company and its management, are naturally unsure.
Readers are warned not to put excessive reliance on these and other positive declarations included herein.
Real outcomes might vary materially from those suggested by these positive declarations as an outcome of different dangers and unpredictabilities consisting of, however not restricted to, the following: the Company’s capability to establish, release, and scale its GPU fleet, micro-edge neocloud websites, and SanQtum-based facilities on the expected timelines; the Company’s capability to protect enough Hopper- and Blackwell-class or comparable GPU supply and to keep its tactical relationship with Available Infrastructure; dangers connecting to website activation, allowing, regulative approvals, power accessibility, supply chain conditions, and technological combination; the effective execution of quantum-resistant file encryption, zero-trust architecture, and AI-powered yield management; the Company’s capability to create expected tokenization charges, deal earnings, and other money making from the GPU network and information properties; competitors from hyperscale and other companies of AI and HPC capability; modifications in market need for Datavault AI’s product and services; modifications in financial, market, or regulative conditions; dangers associating with progressing regulative structures appropriate to tokenized possessions, digital properties, and cross-border token circulation; dangers connected with technological advancement and combination; and other threats and unpredictabilities as more completely explained in Datavault AI’s filings with the SEC, including its Annual Report on Form 10-K for the year ended December 31, 2025 and other filings that Datavault AI makes from time to time with the SEC, which are offered on the SEC’s site at www.sec.gov, and might trigger real outcomes to differ from expectations.
The positive declarations made in this news release relate just to occasions since the date on which the declarations are made. Datavault AI carries out no commitment to upgrade any positive declarations made in this news release to show occasions or scenarios after the date of this news release or to show brand-new details or the event of unexpected occasions, other than as needed by law.
Datavault AI might not in fact accomplish the strategies, objectives, or expectations divulged in its positive declarations, and you must not put unnecessary reliance on such positive declarations. Datavault AI’s positive declarations do not show the possible effect of any future acquisitions, mergers, personalities, joint endeavors, or financial investments it might make.
Market and Market Data
Within this news release, we reference info and data relating to the marketplace for our items. We have actually gotten a few of this details and stats from numerous independent third-party sources, consisting of independent market publications, reports by marketing research companies and other independent sources. Some information and other details included in this news release are likewise based upon management’s quotes and computations, which are originated from our evaluation and analysis of internal studies and independent sources. Information relating to the markets in which we complete and our market position and market share within these markets are naturally inaccurate and go through substantial organization, financial and competitive unpredictabilities beyond our control, however our company believe they typically show size, position and market share within this market. While our company believe such details is reputable, we have actually not separately confirmed any third-party details. While our company believe our internal business research study and price quotes are trustworthy, such research study and quotes have actually not been validated by any independent source. In addition, presumptions and quotes of our and our markets’ future efficiency are always based on a high degree of unpredictability and threat due to a range of elements. These and other aspects might trigger our future efficiency to vary materially from our presumptions and price quotes. As an outcome, you must understand that market, ranking and other comparable market information consisted of in this news release, and quotes and beliefs based upon that information, might not be dependable.
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Media Contact
marketing@dvlt.ai
Financier Contact
Edward Barger
VP, Investor Relations
ebarger@dvlt.ai | ir@dvlt.ai
SOURCE:Datavault AI Inc
Subject: Press release summary
