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

By Burstable Editorial Team

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., trading on NASDAQ under the symbol DVLT, announced an expanded collaboration with IBM to deliver enterprise-grade artificial intelligence performance at the edge in New York and Philadelphia. The deployment will utilize the SanQtum AI platform operated by Available Infrastructure, integrating IBM watsonx AI products within a zero-trust, micro edge data center network. This infrastructure enables cybersecure data storage and compute, real-time data scoring, tokenization, credentialing, and ultra-low-latency processing across two of the most data-dense metropolitan regions in the United States.

The significance of this announcement lies in its potential to support enterprise AI workloads without reliance on public cloud infrastructure. By leveraging edge computing capabilities in major metropolitan areas, organizations can process data closer to its source, reducing latency and enhancing security. The zero-trust architecture of SanQtum AI's network provides additional security layers, which is particularly important for sensitive enterprise data and AI applications requiring real-time processing.

Datavault AI describes itself as a leader in instant data monetization and enterprise digital twins, with technology that spans both acoustic science and data science divisions. The company's Information Data Exchange enables Digital Twins and licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects. This approach fosters responsible AI with integrity while providing comprehensive solutions across multiple industries including sports and entertainment, biotech, education, fintech, real estate, healthcare, and energy.

The expanded collaboration with IBM represents a strategic move to address growing demand for edge computing solutions in artificial intelligence applications. As enterprises increasingly adopt AI technologies, the need for secure, low-latency processing infrastructure becomes more critical, particularly in data-intensive metropolitan regions like New York and Philadelphia. This deployment could serve as a model for similar implementations in other major cities, potentially transforming how organizations approach AI infrastructure and data processing.

For more information about Datavault AI, visit https://ibn.fm/DVLT. Additional details about the AINewsWire platform that distributed this announcement can be found at https://www.AINewsWire.com/Disclaimer. The collaboration between Datavault AI and IBM, utilizing the SanQtum AI platform, represents a significant development in enterprise AI infrastructure, offering organizations an alternative to traditional cloud-based solutions with enhanced security and performance characteristics tailored to the specific demands of metropolitan-scale operations.

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Burstable Editorial Team

Burstable Editorial Team

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