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Datavault AI Expands IBM Collaboration to Deploy Enterprise AI at Edge in New York and Philadelphia

By Advos

TL;DR

Datavault AI's collaboration with IBM delivers enterprise-grade AI at the edge in New York and Philadelphia, offering companies a competitive advantage through ultra-low-latency processing without public cloud reliance.

The deployment uses IBM watsonx AI products within SanQtum AI's zero-trust micro edge data centers to enable cybersecure storage, real-time scoring, tokenization, and credentialing for enterprise workloads.

This technology supports responsible AI with integrity through secure data monetization and digital twins, potentially improving data security and fostering innovation across healthcare, education, and energy sectors.

Datavault AI is deploying edge AI infrastructure in two of America's most data-dense cities, enabling real-time processing that could transform how enterprises handle AI workloads locally.

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Datavault AI Expands IBM Collaboration to Deploy Enterprise AI at Edge in New York and Philadelphia

Datavault AI Inc. (NASDAQ: DVLT) announced an expanded collaboration with IBM to deliver enterprise-grade artificial intelligence performance at the edge in New York and Philadelphia, utilizing the SanQtum AI platform operated by Available Infrastructure. This deployment represents a significant advancement in edge computing infrastructure for AI workloads in two of the most data-dense metropolitan regions in the United States.

The implementation will use IBM watsonx AI products running within SanQtum AI's zero-trust, micro edge data center network. This architecture enables cybersecure data storage and compute capabilities, real-time data scoring, tokenization, credentialing, and ultra-low-latency processing. The system is designed to support enterprise AI workloads without reliance on public cloud infrastructure, addressing growing concerns about data sovereignty, latency, and security in sensitive applications.

This expansion builds on Datavault AI's existing technology portfolio, which includes the Information Data Exchange (IDE) platform that enables Digital Twins and licensing of name, image, and likeness (NIL) by securely attaching physical real-world objects to immutable metadata objects. The company's cloud-based platform serves multiple industries including sports & entertainment, biotech, education, fintech, real estate, healthcare, and energy through HPC software licensing solutions.

The importance of this deployment lies in its potential to transform how enterprises approach AI implementation in urban environments. By moving AI processing closer to data sources in New York and Philadelphia, businesses can achieve faster response times, enhanced data privacy, and reduced bandwidth costs compared to traditional cloud-based approaches. This is particularly relevant for applications requiring real-time decision making, such as financial trading, healthcare diagnostics, and smart city infrastructure management.

Industry implications include potential shifts in how companies architect their AI infrastructure, with more organizations considering edge deployments for latency-sensitive and data-intensive applications. The zero-trust security model implemented through SanQtum AI's network addresses growing cybersecurity concerns in distributed computing environments. For more information about Datavault AI's developments, visit https://ibn.fm/DVLT.

The collaboration between Datavault AI and IBM represents a strategic move to capture market share in the rapidly growing edge AI sector. As enterprises increasingly seek alternatives to centralized cloud computing for certain workloads, this deployment in major metropolitan areas could serve as a blueprint for similar implementations in other urban centers globally. The technology's ability to support responsible AI with integrity through secure metadata attachment and immutable data objects positions it well for industries with strict compliance requirements.

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