Multi-month pilot with American Tower and Vertical Data validates secure, high-performance infrastructure model for distributed GPU deployments
Dispersive Holdings, Inc. (Dispersive), the leader in stealth networking for ultra-secure, high-performance communications, announced the successful completion of a multi-month pilot with the American Tower Edge Data Center in Raleigh, NC, demonstrating measurable gains in performance, security, and resiliency for Artificial Intelligence (AI) and other high-performance workloads at the edge.
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“Global demand for GPU capacity is outpacing infrastructure. Dispersive makes secure AI at the edge possible.” – Rajiv Pimplaskar, CEO, Dispersive
As global demand for AI accelerates and Graphic Processing Unit (GPU) capacity becomes increasingly constrained, organizations are discovering that hardware availability is only part of the challenge. Securely delivering GPU-powered workloads across hybrid data center, edge, and cloud environments remains complex, costly, and operationally fragmented.
As edge inference zones expand, connectivity becomes a competitive differentiator. Hyperscale cloud providers operate private backbone networks and dark fiber infrastructure to move AI traffic securely and efficiently. In contrast, many neocloud and emerging GPU-as-a-Service (GPUaaS) providers rely on public internet transport, introducing variability in performance, resiliency, and security. This creates a growing need for secure, high-throughput edge connectivity that does not require hyperscaler-scale infrastructure investment.
“Global demand for GPU capacity is accelerating faster than infrastructure can keep up,” said Rajiv Pimplaskar, CEO of Dispersive. “As AI workloads move to the edge, neoclouds and emerging GPUaaS providers face a critical gap: they don’t have hyperscaler-scale backbones to securely move that traffic. Dispersive enables them to embed secure, high-performance transport directly into their infrastructure and unlock scalable AI delivery without the cost and complexity of building private fiber networks.”
The pilot, conducted in collaboration with American Tower and Vertical Data, demonstrated how secure transport architecture can enable distributed GPUaaS deployments without increasing architectural complexity. The initiative combined the infrastructure of the American Tower Raleigh Data Center, Vertical Data’s high-density GPU compute platform, and Dispersive’s Trusted Cloud Edge (TCE)™ architecture, a tunnel-free, multi-path secure transport fabric, to deliver encrypted, segmented, resilient connectivity across distributed environments.
In benchmark testing against conventional secure networking approaches, the pilot demonstrated up to 30% throughput improvement, sub-second autonomous failover, and enhanced traffic segmentation and protection against data interception and lateral movement. These results show that high performance and advanced security can coexist in production-grade AI environments, while increasing effective GPU utilization and workload continuity.
“Edge AI is reshaping infrastructure demand,” said Jim Poole, Vice President of Product Development for Edge Data Centers, American Tower. “Enterprises and neocloud providers need low-latency environments that can securely support high-density GPU workloads at the edge. By combining our Edge Data Centers with advanced secure transport architectures, we are enabling a new class of AI deployments that extend into regional markets.”
Beyond performance validation, integrating Dispersive into edge-based GPUaaS environments can reduce total cost of ownership by an estimated 25–40% compared to conventional layered networking and security architectures. By eliminating separate VPN overlays, dedicated security appliances, and fragmented policy enforcement across data center and cloud environments, Dispersive simplifies hybrid AI deployment while strengthening protection across the full workload path.
For neocloud and emerging GPUaaS providers in particular, this architecture offers a secure, resilient alternative to building or leasing private backbone infrastructure, delivering improved latency, higher throughput, and stronger protection, without the capital intensity of dark fiber deployments.
“Scaling GPU infrastructure for AI requires both performance and trust,” said Hamid Djam, Chief Technology Officer, Vertical Data. “By integrating Dispersive’s secure transport fabric directly into our deployment model, we simplify how customers secure data moving between edge and cloud environments. This allows us to focus on delivering high-density GPU capacity, while ensuring connectivity is encrypted, resilient, and seamless.”
As enterprises, neocloud providers, mobile network operators, and broadband providers expand AI initiatives, secure and resilient transport becomes foundational to scaling GPU infrastructure. Dispersive provides the secure backbone for distributed GPUaaS, enabling organizations to scale AI compute confidently, without increasing architectural complexity.
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