Month: 2026-04

香港, 2026年4月17日 - (亞太商訊 via SeaPRwire.com) - 4月16日，專注於中國健康飲食行業的透雲生物科技集團有限公司（「透雲生物」，連同其附屬公司統稱「集團」；股份代號：1332.HK）欣然宣佈，集團與深圳大學於2026年4月15日正式簽訂《科技成果轉化戰略合作協議》，雙方將攜手成立「深圳大學-透雲生物萊茵衣藻聯合研究所」，聚焦萊茵衣藻合成生物學領域的應用研究及成果轉化，標志著集團在健康食品原料生產基礎上向生物醫藥及合成生物領域邁出具有里程碑意義的關鍵一步。深圳大學是1983年成立的綜合性大學，自1999年組建萊茵衣藻合成生物學課題組以來，先後發表相關研究論文400餘篇，居全國之首。成功構建我國第一個藥用單細胞真核微藻工程藻株庫。並成功開發出基於萊茵衣藻模式平台的專利成果《一種穩定表達人源GLP-1RA的萊茵衣藻工程株及構建方法與應用（CN2025115510147），簡稱「衣藻格魯肽」（Chlamyglutide）項目》等十餘種成果。透雲生物是全球唯一能夠大批量發酵生產萊茵衣藻的科技型公司，年產4000噸萊茵衣藻粉的山西長治工廠已投產。雙方約定形成長期戰略合作夥伴關係，透雲生物作為深圳大學萊茵衣藻研發成果的轉化基地，共同打造世界一流的萊茵衣藻合成生物學工具平台及生物製造平台。根據協議，雙方確定第一批啟動的科技成果轉化項目為深圳大學專利成果——衣藻格魯肽。項目旨在利用經基因工程改造的萊茵衣藻工程藻株，穩定表達人源GLP-1受體激動劑，從而開發出一款以萊茵衣藻為生產平台的新型格魯肽產品。根據合作分工，深圳大學將負責提供核心技術支持與專業人員培訓，透雲生物則承擔中試驗證、規模化生產、產品報批及市場推廣等產業化全流程工作。雙方亦將就具體的知識產權安排另行簽署協議，以確保合作成果的合理分配與有效保護。此次戰略合作將深圳大學在衣藻合成生物學領域的頂尖科研實力，與透雲生物在萊茵衣藻規模化發酵生產方面的全球領先產業化能力深度融合，形成從基礎研究、工程藻株構建到中試放大、規模化生產及市場推廣的完整創新鏈條，實現科技成果從實驗室到產業化的高效轉化。萊茵衣藻作為國際公認的綠色模式生物，具有生長速度快、培養條件簡單、可進行光合自養與發酵異養、且已獲得美國食品藥品監督管理局（FDA）「一般認為安全」（GRAS）認證及中國衛健委新食品原料批准等獨特優勢。以萊茵衣藻作為重組蛋白表達平台，相較於傳統的大腸桿菌、酵母或哺乳動物細胞表達系統，在生產成本、安全性及可持續性方面均展現出顯著的差異化競爭優勢。若項目成功推進，有望為衣藻格魯肽的生產開闢一條成本更低、更加綠色可持續的全新技術路徑，並為未來口服生物藥的開發提供創新平台支撐。透雲生物董事會主席兼執行董事王亮先生表示：「此次戰略合作協議的簽訂，乃集團在合成生物學賽道上的重大戰略佈局。集團將依託『深圳大學-透雲生物萊茵衣藻聯合研究所』的平台，持續推進萊茵衣藻在生物製藥、功能性健康產品等高附加值領域的應用開發。集團將充分發揮自身在萊茵衣藻規模化發酵生產方面的全球獨有優勢，結合深圳大學在合成生物學領域的深厚學術積澱，加速推進衣藻格魯肽等項目的產業化進程，力爭早日實現產品落地。同時，集團亦將以此次合作為契機，持續探索萊茵衣藻平台在更多高價值生物活性分子生產中的應用潛力，為透雲生物開闢更為廣闊的增長空間，切實為股東創造長期價值。」關於透雲生物科技集團有限公司透雲生物科技集團有限公司（股份代號：1332.HK）主要從事萊茵衣藻產品業務、包裝產品設計、研發、生產及銷售業務。集團紮根傳統包裝業務超過三十載，在香港以及廣東多地設有辦公室及製造車間，目前為眾多世界知名品牌提供專業包裝設計及製造服務，擁有長期穩定的客戶群。自2020年起，集團多元化發展業務範圍至萊茵衣藻、微藻產品業務，並與山西省長治市潞城區人民政府合作建設全球首座萊茵衣藻工廠，以展開萊茵衣藻工業化量產。如欲查詢更多資料，請瀏覽集團網站：https://touyunbiotech.com.hk/zh-hant/ Copyright 2026 亞太商訊 via SeaPRwire.com. All rights reserved. www.acnnewswire.com

PHILADELPHIA, PA, Apr 16, 2026 - (ACN Newswire via SeaPRwire.com) - The global AI compute shortage has forced enterprises outside the hyperscaler customer set to wait extended periods for high-performance GPU capacity. Datavault AI Inc. ("Datavault AI" or the "Company") (NASDAQ:DVLT), a provider of data monetization, credentialing, digital engagement, and real-world asset ("RWA") tokenization technologies, today announced that the first sites of its new quantum-ready high-performance computing ("HPC") GPU network are now live in New York and Philadelphia, with commercial availability of the full 48,000-GPU fleet beginning in Q3 2026.The fleet will be distributed across 1,000 urban micro-edge neocloud sites in more than 100 U.S. cities by the end of 2026. Each site supports up to 48 GPUs configured for low-latency AI inference and HPC workloads. 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.¹The network is built outside the hyperscaler supply chain, which has absorbed the majority of current Hopper- and Blackwell-class GPU capacity and left many enterprises facing extended lead times and limited on-demand availability from major cloud providers.² Available Infrastructure's SanQtum AI platform provides cyber-secure, zero-trust, quantum-resistant architecture with post-quantum cryptography, which Available Infrastructure describes as "AI-powered, quantum-ready edge computing." Datavault AI's DataValue®, DataScore®, and Information Data Exchange® (IDE®) platform runs directly on the SanQtum-secured GPU infrastructure, powering real-time data tokenization, monetization, and edge AI workloads 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," said Nathaniel T. Bradley, Founder & CEO, Datavault AI Inc. (NASDAQ:DVLT).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, positioning the fleet as an alternative source of secure enterprise AI compute capacity in a market in which a small number of hyperscale cloud providers have absorbed the majority of current Hopper- and Blackwell-class capacity.IDE® Yield Management and Branded Data AssetsThe Information Data Exchange® (IDE®) will incorporate AI-powered yield management and branded data asset scoring, with data assets valued for quality, completeness, and quantum encryption. IDE®, DataValue®, and DataScore® will run natively on the SanQtum-secured fleet, enabling Datavault AI's real-time data tokenization and monetization capabilities to operate at the network edge rather than in centralized cloud regions.Sources¹ Current NVIDIA H100 80GB PCIe and SXM pricing ranges from approximately $25,000 to $40,000 per GPU, and full HGX H100 8-GPU systems routinely exceed $350,000, according to published 2026 pricing analyses. At a blended $30,000 to $40,000 per-GPU range, a 48,000-GPU fleet corresponds to an equivalent market value 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.² Hyperscaler reservation activity has consumed the majority of NVIDIA's near-term Hopper- and Blackwell-class allocation, leaving on-demand H100 availability on major cloud platforms "genuinely unreliable" for teams without pre-existing reserved capacity. Combined 2026 hyperscaler capital expenditures are projected at approximately $660-690 billion, driving sustained 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 AIDatavault AI™ (NASDAQ:DVLT) is leading the way in AI-driven data experiences, valuation, and monetization of assets in the Web 3.0 environment. The Company's cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Sciences and Data Sciences divisions.Datavault AI's Acoustic Sciences division features WiSA®, ADIO®, and Sumerian® patented technologies and industry-first foundational spatial and multichannel wireless, high-definition sound transmission technologies with intellectual property 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 platform serves multiple industries, including high-performance computing software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy, and more. The Information Data Exchange® enables Digital Twins and the licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata, fostering responsible AI with integrity. The Company's technology suite is fully customizable and offers AI- and machine-learning-based automation, third-party integration, detailed analytics and data, marketing automation, and advertising monitoring.The Company is headquartered in Philadelphia, PA. Learn more about Datavault AI at www.dvlt.ai.Forward-Looking StatementsThis press release contains "forward-looking statements" (within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws) about Datavault AI Inc. ("Datavault AI," the "Company," "us," "our," or "we") and our industry that involve risks and uncertainties. In some cases, you can identify forward-looking statements because they contain 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 negative of these words or other similar terms or expressions that concern our expectations, strategy, plans or intentions. The absence of these words does not mean that a statement is not forward-looking. Such forward-looking statements, including, but not limited to, statements regarding future events, the anticipated Q3 2026 commercial availability of the Company's 48,000-GPU quantum-ready high-performance computing fleet; the estimated equivalent market value of the fleet of $1.44 billion to $1.92 billion; the planned deployment and activation of 1,000 urban micro-edge neocloud sites across more than 100 U.S. cities by the end of 2026, including the approximately 30 additional city activations targeted by early July 2026 and the scheduled revenue-generating status of the nationwide network by year-end 2026; the expected deployment of Available Infrastructure's SanQtum AI platform; the anticipated capabilities and commercialization of the Company's DataValue®, DataScore®, and Information Data Exchange® (IDE®) technologies, including AI-powered yield management, branded data asset scoring, real-time data tokenization, and edge-based monetization; the Company's ability to deliver low-latency AI inference, HPC capacity, zero-trust security, and quantum-resistant architecture at the network edge; the expected positioning of the fleet as an alternative to hyperscaler-supplied GPU capacity; and the expected operational, technical, and commercial outcomes of the Company's commercial strategy, and the projected direction and market impacts of regulatory changes with respect to digital assets, are necessarily based upon estimates and assumptions that, while considered reasonable by the Company and its management, are inherently uncertain.Readers are cautioned not to place undue reliance on these and other forward-looking statements contained herein.Actual results may differ materially from those indicated by these forward-looking statements as a result of various risks and uncertainties including, but not limited to, the following: the Company's ability to develop, deploy, and scale its GPU fleet, micro-edge neocloud sites, and SanQtum-based infrastructure on the anticipated timelines; the Company's ability to secure sufficient Hopper- and Blackwell-class or equivalent GPU supply and to maintain its strategic relationship with Available Infrastructure; risks relating to site activation, permitting, regulatory approvals, power availability, supply chain conditions, and technological integration; the successful implementation of quantum-resistant encryption, zero-trust architecture, and AI-powered yield management; the Company's ability to generate anticipated tokenization fees, transaction revenues, and other monetization from the GPU network and data assets; competition from hyperscale and other providers of AI and HPC capacity; changes in market demand for Datavault AI's services and products; changes in economic, market, or regulatory conditions; risks relating to evolving regulatory frameworks applicable to tokenized assets, digital assets, and cross-border token distribution; risks associated with technological development and integration; and other risks and uncertainties as more fully described 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 available on the SEC's website at www.sec.gov, and could cause actual results to vary from expectations.The forward-looking statements made in this press release relate only to events as of the date on which the statements are made. Datavault AI undertakes no obligation to update any forward-looking statements made in this press release to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law.Datavault AI may not actually achieve the plans, intentions, or expectations disclosed in its forward-looking statements, and you should not place undue reliance on such forward-looking statements. Datavault AI's forward-looking statements do not reflect the potential impact of any future acquisitions, mergers, dispositions, joint ventures, or investments it may make.Industry and Market DataWithin this press release, we reference information and statistics regarding the market for our products. We have obtained some of this information and statistics from various independent third-party sources, including independent industry publications, reports by market research firms and other independent sources. Some data and other information contained in this press release are also based on management's estimates and calculations, which are derived from our review and interpretation of internal surveys and independent sources. Data regarding the industries in which we compete and our market position and market share within these industries are inherently imprecise and are subject to significant business, economic and competitive uncertainties beyond our control, but we believe they generally indicate size, position and market share within this industry. While we believe such information is reliable, we have not independently verified any third-party information. While we believe our internal company research and estimates are reliable, such research and estimates have not been verified by any independent source. In addition, assumptions and estimates of our and our industries' future performance are necessarily subject to a high degree of uncertainty and risk due to a variety of factors. These and other factors could cause our future performance to differ materially from our assumptions and estimates. As a result, you should be aware that market, ranking and other similar industry data included in this press release, and estimates and beliefs based on that data, may not be reliable.Trademarks, Trade Names, Service Marks and CopyrightsWe own or have rights to use various trademarks, tradenames, service marks and copyrights, which are protected under applicable intellectual property laws. This press release also contains trademarks, tradenames, service marks and copyrights of other companies, which are, to our knowledge, the property of their respective owners. Solely for convenience, certain trademarks, tradenames, service marks and copyrights referred to in this press release may appear without the ©, ®, and ™ symbols, but such references are not intended to indicate, in any way, that we will not assert, to the fullest extent under applicable law, our rights or the rights of the applicable licensors to these trademarks, tradenames, service marks and copyrights. We do not intend our use or display of other parties' trademarks, tradenames, service marks or copyrights to imply, and such use or display should not be construed to imply a relationship with, or endorsement or sponsorship of us by, these other parties.Media Contactmarketing@dvlt.aiInvestor ContactEdward BargerVP, Investor Relationsebarger@dvlt.ai | ir@dvlt.aiSOURCE: Datavault AI Inc Copyright 2026 ACN Newswire via SeaPRwire.com. All rights reserved. www.acnnewswire.com

賓夕法尼亞州費城, 2026年4月16日 - (亞太商訊 via SeaPRwire.com) - 全球人工智慧運算資源短缺，迫使非超大規模雲端服務供應商客戶群的企業，必須長時間等待高性能 GPU 運算資源。Datavault AI Inc.（「Datavault AI」或「本公司」） （納斯達克代碼：DVLT），作為數據變現、憑證認證、數位互動及實體資產（RWA）代幣化技術的供應商，今日宣布其全新量子就緒型高效能運算（HPC）GPU 網路的首批據點現已於紐約及費城上線，而完整的 48,000 張 GPU 機隊將於 2026 年第三季起正式投入商業運作。該機群將於2026年底前部署於美國超過100個城市的1,000個都市微邊緣新雲據點。每個據點最多可支援48顆GPU，並針對低延遲AI推論及HPC工作負載進行配置。根據當前 Hopper 及 Blackwell 級別的定價，這 48,000 顆 GPU 的專用運算能力，其等值市場價值估計介於 14.4 億至 19.2 億美元之間。¹該網路建構於超大規模供應鏈之外，因當前多數 Hopper 及 Blackwell 級別的 GPU 產能已被該供應鏈吸納，導致許多企業面臨主要雲端供應商交期延長及隨需供應受限的問題。² Available Infrastructure 的 SanQtum AI 平台提供具備後量子加密技術的網路安全、零信任、抗量子架構，Available Infrastructure 將其描述為「AI 驅動、量子就緒的邊緣運算」。Datavault AI 的 DataValue®、DataScore® 及 Information Data Exchange® (IDE®) 平台直接運行於 SanQtum 保護的 GPU 基礎設施上，驅動大規模的即時數據代幣化、貨幣化及邊緣 AI 工作負載。「GPU 供應危機已形成雙層市場——擁有產能的超大規模雲端服務商，以及在長達一年的排隊名單中等待的企業。Datavault AI Inc.（納斯達克代碼：DVLT）創辦人暨執行長納撒尼爾·T·布拉德利（Nathaniel T. Bradley）表示：「我們基於 SanQtum AI 網路安全邊緣架構所建構的量子就緒運算群組，為企業開闢了一條通往安全 AI 運算、數據評分及代幣化變現的途徑，無需等待超大規模供應商的配額。」目標在 2026 年 7 月初前新增約 30 個城市據點，這支擁有 48,000 顆 GPU 的機隊將於 2026 年第三季全面投入商業運作，全國性網路預計在 2026 年底前開始產生營收。這款採用風冷、低功耗設計的系統，旨在突破曾限制超大規模擴張的電網與冷卻液限制，使該機隊在當前市場中成為安全企業級AI運算能力的替代來源——目前市場上少數超大規模雲端服務供應商已壟斷了絕大多數Hopper與Blackwell級別的運算資源。IDE® 收益管理與品牌化數據資產Information Data Exchange® (IDE®) 將整合 AI 驅動的產能管理與品牌化數據資產評分機制，數據資產的價值將依據品質、完整性及量子加密程度進行評估。IDE®、DataValue® 及 DataScore® 將原生運行於 SanQtum 安全防護的機隊上，使 Datavault AI 的即時數據代幣化與貨幣化能力得以在網路邊緣運作，而非集中於雲端區域。資料來源¹ 根據已發布的 2026 年定價分析，目前 NVIDIA H100 80GB PCIe 及 SXM 型號的單顆 GPU 價格約介於 25,000 美元至 40,000 美元之間，而完整的 HGX H100 8-GPU 系統價格通常超過 350,000 美元。若以每顆 GPU 30,000 至 40,000 美元的綜合價格區間計算，48,000 顆 GPU 的機群相當於 14.4 億至 19.2 億美元的市場價值。資料來源：IntuitionLabs，《NVIDIA AI GPU 價格：H100（2.7萬至4萬美元）與 H200（31.5萬美元/8張 GPU）成本指南》，2025年12月 - intuitionlabs.ai/articles/nvidia-ai-gpu-pricing-guide； Northflank，《NVIDIA H100 GPU 價格是多少？》，2026年 - northflank.com/blog/how-much-does-an-nvidia-h100-gpu-cost。² 超大規模雲端服務供應商的預留訂單已消耗了 NVIDIA 大部分短期內的 Hopper 和 Blackwell 級別配額，導致主要雲端平台上按需供應的 H100 晶片，對於尚未預先保留容量的團隊而言，其供應狀況「確實難以預測」。預計 2026 年超大規模雲端服務供應商的總資本支出將約達 6,600 億至 6,900 億美元，這將持續對 GPU、記憶體及資料中心供應鏈造成壓力。資料來源：Spheron Network，《2026年GPU短缺：當GPU售罄時如何確保AI運算資源》，2026年4月 - spheron.network/blog/gpu-shortage-2026； Introl，《2026年超大規模企業資本支出達6,900億美元》，2026年2月 - introl.com/blog/hyperscaler-capex-690-billion-microsoft-azure-power-bottleneck-2026。關於 Datavault AIDatavault AI™（納斯達克代碼：DVLT）在 Web 3.0 環境中，引領著以人工智慧驅動的數據體驗、資產估值及變現領域。該公司的雲端平台提供全面解決方案，其聲學科學與數據科學部門皆以協作為核心。Datavault AI 的聲學科學部門擁有 WiSA®、ADIO® 及 Sumerian® 等專利技術，以及業界首創的基礎空間與多通道無線高解析度聲音傳輸技術，其智慧財產權涵蓋音訊時序、同步及多通道干擾消除等領域。資料科學部門則運用 Web 3.0 與高效能運算的優勢，提供體驗式資料感知、估值及安全變現的解決方案。Datavault AI 的平台服務於多個產業，包括為體育與娛樂、活動與場館、生物科技、教育、金融科技、房地產、醫療保健、能源等領域提供高效能運算軟體授權。Information Data Exchange® 透過將實體世界物件安全地連結至不可變更的元數據，實現數位孿生（Digital Twins）以及姓名、形象與肖像（NIL）的授權，從而促進具備完整性的負責任人工智慧發展。該公司的技術套件完全可自訂，提供基於人工智慧與機器學習的自動化、第三方整合、詳細分析與數據、行銷自動化以及廣告監測。該公司總部位於賓夕法尼亞州費城。欲進一步了解 Datavault AI，請造訪 www.dvlt.ai。前瞻性陳述本新聞稿包含關於 Datavault AI Inc.（「Datavault AI」、「本公司」、「我們」或「我方」）及其所處產業的「前瞻性陳述」（定義參照《1995 年私人證券訴訟改革法案》（經修訂）及其他證券法規），其中涉及風險與不確定性。在某些情況下，您可透過以下詞彙識別前瞻性陳述，例如「可能」、「或許」、「將」、「應」、「預期」、「計劃」、「預料」、「能夠」、「意圖」、「目標」、 「預測」、「考慮」、「相信」、「估計」、「預測」、「潛在」、「目標」、「宗旨」、「尋求」、「可能」或「持續」等詞彙，或這些詞彙的否定形式，或其他涉及本公司預期、策略、計劃或意圖的類似詞彙或表述。未使用這些詞彙並不表示該陳述不具前瞻性。此類前瞻性陳述包括但不限於：關於未來事件的陳述、預期本公司具備 48,000 個 GPU 的量子就緒型高效能運算機群將於 2026 年第三季投入商業運作；該機群的估計等值市值為 14.4 億至 19.2 億美元； 計劃於2026年底前在全美超過100座城市部署並啟用1,000個都市微邊緣新雲（neocloud）據點，其中包含預計於2026年7月初前新增啟用的約30座城市據點，以及全國性網路預計於2026年底前開始產生營收；Available Infrastructure旗下SanQtum AI平台的預期部署； 本公司 DataValue®、DataScore® 及 Information Data Exchange® (IDE®) 技術的預期功能與商業化進程，包括 AI 驅動的收益管理、品牌化數據資產評分、即時數據代幣化，以及基於邊緣的變現能力；本公司在網路邊緣提供低延遲 AI 推論、高效能運算 (HPC) 容量、零信任安全機制及抗量子架構的能力； 該機群作為超大規模供應商所提供 GPU 運算能力的替代方案之預期定位；以及本公司商業策略的預期營運、技術與商業成果，以及數位資產相關法規變動的預估方向與市場影響，必然基於某些估計與假設，儘管本公司及其管理層認為這些估計與假設合理，但本質上仍存在不確定性。謹此提醒讀者，切勿過度依賴本文所載之這些及其他前瞻性陳述。實際結果可能因各種風險及不確定性而與這些前瞻性陳述所指稱者存在重大差異，包括但不限於以下事項：本公司能否按預期時程開發、部署及擴展其 GPU 機隊、微邊緣新雲站點，以及基於 SanQtum 的基礎設施； 本公司能否確保獲得充足的 Hopper 及 Blackwell 級或同等規格的 GPU 供應，並維持與 Available Infrastructure 的戰略合作關係；與站點啟用、許可申請、監管批准、電力供應、供應鏈狀況及技術整合相關的風險；能否成功實施抗量子加密、零信任架構及 AI 驅動的收益管理； 本公司能否從 GPU 網路及數據資產中產生預期的代幣化費用、交易收入及其他變現收益；來自超大規模及其他 AI 與 HPC 運算能力供應商的競爭；市場對 Datavault AI 服務與產品需求的變化；經濟、市場或監管環境的變化；與適用於代幣化資產、數位資產及跨境代幣分發的監管框架演變相關的風險； 與技術開發及整合相關的風險；以及 Datavault AI 向美國證券交易委員會（SEC）提交的文件中更詳盡描述的其他風險與不確定性，包括截至 2025 年 12 月 31 日止年度的 10-K 表格年度報告，以及 Datavault AI 不時向 SEC 提交的其他文件（該等文件可於 SEC 網站 www.sec.gov 查閱），這些因素均可能導致實際結果與預期有所出入。本新聞稿中所作的前瞻性陳述僅涉及該陳述作出當日的事件。Datavault AI 概無義務更新本新聞稿中的任何前瞻性陳述，以反映本新聞稿日期之後的事件或情況，或反映新資訊或意外事件的發生，除非法律另有規定。Datavault AI 可能無法實際實現其前瞻性陳述中所披露的計劃、意圖或預期，您不應過度依賴此類前瞻性陳述。Datavault AI 的前瞻性陳述未反映其未來可能進行的任何收購、合併、處分、合資企業或投資所帶來的潛在影響。產業與市場數據本新聞稿中提及有關本公司產品市場之資訊與統計數據。其中部分資訊與統計數據係取自各類獨立第三方來源，包括獨立產業刊物、市場研究機構報告及其他獨立來源。本新聞稿所載之部分數據及其他資訊亦基於管理層之估算與計算，該等估算與計算源自本公司對內部調查及獨立來源之審閱與詮釋。關於本公司所處競爭產業、以及本公司在該等產業中的市場地位與市佔率的數據，本質上具有不精確性，且受制於超出本公司控制範圍的重大商業、經濟及競爭不確定性；然本公司相信，該等數據大致反映了該產業的規模、地位及市佔率。儘管本公司認為此類資訊可靠，但並未對任何第三方資訊進行獨立核實。雖然本公司相信內部研究與估算具可靠性，但此類研究與估算亦未經任何獨立來源核實。此外，基於多種因素，針對本公司及所處產業未來表現的假設與估計，必然存在高度的不確定性與風險。這些及其他因素可能導致我們的未來表現與假設及估計產生重大差異。因此，您應知悉本新聞稿中所包含的市場、排名及其他類似產業數據，以及基於該等數據所作出的估計與判斷，可能並不可靠。商標、商號、服務標誌及著作權本公司擁有或具備使用各類商標、商號、服務標誌及著作權之權利，該等權利均受適用之智慧財產權法律保護。本新聞稿亦包含其他公司的商標、商號、服務標誌及著作權，據我們所知，該等權利均屬其各自所有人之財產。純粹為方便起見，本新聞稿中提及的某些商標、商號、服務標誌及著作權可能未標示 ©、® 及 ™ 符號，但此類引用絕不意味著我們將不會在適用法律允許的最大範圍內，主張我們或相關授權方對這些商標、商號、服務標誌及著作權所擁有的權利。我們無意透過使用或展示其他方的商標、商號、服務標誌或著作權來暗示，且此類使用或展示不應被解釋為暗示與這些其他方存在任何關係，或暗示我們獲得其背書或贊助。媒體聯絡marketing@dvlt.ai 投資人聯絡Edward Barger投資人關係副總裁ebarger@dvlt.ai | ir@dvlt.ai 消息來源：Datavault AI Inc Copyright 2026 亞太商訊 via SeaPRwire.com. All rights reserved. www.acnnewswire.com