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Verizon reveals plan for AI technology to meet future AI requirements

Businesses now have access to AI Connect, a new service from Verizon Business, designed to meet the increasing need for network capacity to handle AI workloads.

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Artificial Intelligence Strategy Unveiled by Verizon to Meet Future AI Needs
Artificial Intelligence Strategy Unveiled by Verizon to Meet Future AI Needs

Verizon reveals plan for AI technology to meet future AI requirements

The demand for low-latency connectivity, compute, and security at the edge for AI workloads is rapidly growing, driven by the rise of AI, generative AI, and 5G technologies. This demand is particularly significant in industries that require faster data processing, reduced latency, secure operations, and compliance with data privacy and regulatory requirements, such as healthcare, automotive, manufacturing, and smart cities.

Projected market growth reflects this trend. The global edge computing market, fundamental for supporting AI workloads at the edge, was valued at approximately USD 168.4 billion in 2025 and is expected to expand to USD 249 billion by 2030, at a compound annual growth rate that underscores increasing enterprise adoption worldwide.

In response to these demands, Verizon Business has unveiled Verizon AI Connect, an integrated suite of solutions and products for deploying AI workloads at scale. The platform offers ultra-low latency edge computing within Verizon’s 5G network, supporting AI workloads needing real-time data processing and rapid decision-making.

Verizon integrates AI technologies such as NVIDIA accelerated computing (including NVIDIA AI Enterprise and Holoscan) within its private 5G network framework to enable AI-driven processing at the edge. This allows clients to manage complex AI tasks, such as live sports production with multiple camera feeds, AI-based content prioritization, and automation of workflows, which rely heavily on low latency and high compute at the network edge.

Verizon’s approach includes robust network segmentation, monitoring, and routing strategies to maintain security and performance for edge AI deployments. This helps enterprises meet compliance and privacy needs while running AI workloads securely on distributed edge infrastructure.

The company also pursues strategic partnerships with cloud and technology providers like AWS (via AWS Wavelength zones integrated into Verizon’s 5G) to deliver edge compute resources closer to the user, enhancing latency and throughput for AI workloads.

Verizon's partnership with Meta will expand into network infrastructure, differentiating both companies in helping to build the AI ecosystem. Bikash Koley, vice president of global networking and infrastructure at Google, states that Verizon provides a robust network infrastructure for AI workloads. Google Cloud and Meta are already using additional capacity provided by Verizon to support their AI workloads.

Ronnie Vasishta, senior vice president of Telecom at NVIDIA, comments that telecom networks are uniquely positioned to provide a distributed AI infrastructure that meets enterprise needs. Verizon and NVIDIA are working together to reimagine how GPU-based edge platforms can be integrated into Verizon's 5G private networks.

Verizon's connectivity infrastructure is uniquely positioned to support Vultr's growth, allowing them to extend their global cloud footprint and bring cutting-edge AI solutions to Verizon Business' global customers. J.J. Kardwell, CEO of Vultr, states that GPUs play a crucial role in powering AI workloads and rapidly growing demand for real-time inference is driving the need for AI infrastructure at the edge.

Gaya Nagarajan, vice president of network infrastructure at Meta, states that Verizon's network strengthens their infrastructure with AI and the future in mind. Google Cloud can accelerate the development and deployment of AI solutions with Verizon's advanced network capabilities. Meta is partnering with Verizon to build and operate networks that support their existing services and accelerate more intelligent and predictive capabilities.

In summary, Verizon Business is actively positioning itself to meet the surging demand for low-latency, secure edge compute for AI by blending its 5G edge network capabilities with advanced AI platforms and partnerships, enabling enterprises to deploy intelligent, real-time, and secure AI applications at the edge.

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