#gpu network

➤ Datavault AI (DVLT) is expanding its 48,000-GPU edge computing network across over 100 U.S. markets by 2026, aiming to support AI workloads and tokenization services. ➤ The company's expansion is linked to the anticipated CLARITY Act, which aims to provide regulatory clarity for digital assets, potentially accelerating tokenization platform adoption. ➤ Utilizing a distributed, modular micro data center approach, Datavault AI seeks to offer low-latency operations and capitalize on a significant addressable market, despite initial stock volatility.

➤ Datavault AI (DVLT) has launched its quantum-ready HPC GPU network in New York and Philadelphia, with a planned fleet of 48,000 GPUs across 1,000 micro-edge sites. ➤ The network aims to provide low-latency AI inference and data tokenization/monetization, operating outside hyperscaler supply chains amidst GPU shortages. ➤ This initiative positions Datavault AI as an alternative secure enterprise AI compute provider, leveraging its platforms for data monetization and real-world asset tokenization.

➤ Datavault AI has launched its first quantum-ready GPU sites in New York and Philadelphia, aiming to address the global AI compute shortage for enterprises outside hyperscaler networks. ➤ The company plans to deploy a 48,000-GPU fleet across over 100 U.S. cities by the end of 2026, offering low-latency AI inference and HPC capabilities. ➤ This initiative leverages a new edge computing infrastructure that bypasses traditional hyperscaler supply chains and integrates real-world asset (RWA) tokenization technologies.