Datavault AI has 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 IBM watsonx AI products running within SanQtum AI's zero-trust, micro edge data center network, enabling cybersecure data storage and compute across two of the most data-dense metropolitan regions in the United States.
The partnership represents a significant advancement in edge computing infrastructure for enterprise AI workloads. By leveraging SanQtum AI's platform operated by Available Infrastructure, the collaboration will provide real-time data scoring, tokenization, credentialing, and ultra-low-latency processing without reliance on public cloud infrastructure. This approach addresses growing concerns about data sovereignty, latency requirements, and security in metropolitan environments where traditional cloud architectures may face limitations.
The deployment in New York and Philadelphia targets regions with exceptionally high data density, where traditional cloud infrastructure often struggles with latency and bandwidth constraints. The zero-trust architecture of SanQtum AI's micro edge data center network provides enhanced security protocols for sensitive enterprise data processing. This infrastructure supports Datavault AI's broader technology suite, 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.
For business leaders, this development signals a shift toward more distributed AI infrastructure that can operate closer to data sources while maintaining enterprise-grade security and performance standards. The ability to process AI workloads at the edge with IBM's watsonx products could transform how organizations handle real-time analytics, particularly in industries like fintech, healthcare, and real estate where immediate data processing is critical. The technology's application extends to Datavault AI's Acoustic Science Division, which features WiSA, ADIO and Sumerian patented technologies for spatial and multichannel wireless HD sound transmission.
The collaboration's impact extends beyond immediate technical capabilities to broader implications for AI deployment strategies. By providing alternatives to public cloud dependency, organizations gain greater control over their AI infrastructure while potentially reducing latency-related limitations. This development aligns with growing enterprise demand for hybrid approaches that combine cloud and edge computing for optimal AI performance. The full press release is available at https://ibn.fm/ezg9F, while terms of use and disclaimers can be found at http://IBN.fm/Disclaimer.
