Wedoany.com Report on Mar 11th, Network provider Dispersive and American Tower in the United States recently disclosed details of a successful pilot project focused on developing secure data transmission methods for edge-based GPU-as-a-Service (GPUaaS) environments. This solution aims to address the security challenges faced by new cloud and emerging GPUaaS providers when relying on public internet transmission.
During the trial, Dispersive's Trusted Cloud Edge (TCE) multi-path transmission architecture was combined with Vertical Data's high-density GPU computing platform. Encrypted data was transmitted between distributed sites through an American Tower data center located in Raleigh, North Carolina. After months of testing, results showed a 30% increase in throughput, achieved sub-second autonomous failover, and enhanced data interception protection.
Jim Poole, Vice President of Edge Data Center Product Development at American Tower, stated: "Enterprises and new cloud providers require low-latency environments to securely support high-density GPU workloads at the edge. By combining our edge data centers with advanced secure transmission architectures, we are driving new types of AI deployments and expanding into regional markets."
As AI demand grows, edge computing infrastructure is receiving increasing attention. IDC predicts that global spending on edge computing solutions will increase from approximately $261 billion in 2025 to $380 billion in 2028, while Global Market Insights expects the edge data center market to reach about $71.9 billion by 2035. This stems from the need for infrastructure to be located close to where AI workloads are used to reduce latency and improve throughput.
Dispersive's testing coincides with American Tower expanding its edge footprint, shifting from small-scale colocation sites to multi-megawatt data centers. The company plans to add two new prefabricated design sites in Oklahoma City and Tampa Bay to strengthen its edge computing capabilities.
The collaboration also aims to reduce operational costs. Based on the tests, the edge GPU-as-a-Service environment can lower the total cost of ownership by up to 40% by eliminating the need for separate VPN overlays and dedicated security appliances.
Rajiv Pimplaskar, CEO of Dispersive, noted: "As AI workloads migrate to the edge, new cloud and GPUaaS providers face a secure transmission gap. Dispersive enables them to embed secure, high-performance transmission into their infrastructure, unlocking scalable AI delivery without the cost and complexity of private fiber networks." This edge GPU-as-a-Service solution demonstrates its potential in enhancing security and efficiency.
