Verizon positions 5G and edge as backbone for AI evolution
Last week Verizon launched Verizon AI Connect, a suite of solutions to support large-scale AI workloads for hyperscalers, cloud providers, and global enterprises.
The initiative addresses growing demand for real-time AI inferencing, requiring low-latency connectivity, edge computing, and robust infrastructure.
Key partnerships include NVIDIA, Vultr, Google Cloud, and Meta to enhance AI capabilities and network performance. Google Cloud and Meta are early adopters, leveraging Verizon’s infrastructure for AI workload support and innovation.
Verizon integrates its 5G network, high-speed fiber, and edge compute environments to power AI ecosystems.
“We are seeing significant demand for reliable network infrastructure that can support existing AI workloads,” says Kyle Malady, CEO, Verizon Business. “As the technology evolves, our industry leadership, best-in-class edge-to-cloud connectivity, programmable network and assets will enable us to meet these needs and accelerate innovation.”
The NVIDIA collaboration focuses on GPU-based edge platforms for private 5G networks, while the Vultr partnership expands GPU-as-a-Service (GPUaaS) and cloud computing capabilities.
Verizon aims to position telecom networks as critical infrastructure for distributed AI solutions. The strategy supports Verizon’s broader goal of driving innovation and meeting future AI demands.
EDGE AI FOUNDATION Austin 2025
Article Topics
5G | AI/ML | Google Cloud | GPUaaS | Meta | Nvidia | Verizon | Vultr
Comments