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Verizon Teams Up with NVIDIA to Enhance AI Workloads on 5G Private Networks via Mobile Edge Compute

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On December 17, 2024, Verizon unveiled a new solution developed in collaboration with NVIDIA that enables a wide range of AI applications to run over Verizon’s reliable 5G private network with private Mobile Edge Compute (MEC), showcasing its potential to transform enterprises. The Verizon 5G Private Network with Enterprise AI solution combines Verizon’s secure, low-latency 5G private network and private MEC with NVIDIA’s AI Enterprise software platform and NIM microservices, providing real-time AI services on-site for enterprise customers. Verizon engineers will begin demonstrations of this solution in early 2025.

Srini Kalapala, Senior Vice President of Technology and Product Development at Verizon, highlighted the significance of generative AI, stating that its predictive capabilities are set to play a critical role in digital transformation and business growth across industries. He emphasized that Verizon’s network strengths, including private networks and leadership in private MEC, combined with NVIDIA’s AI capabilities, enable real-time AI applications that require security, ultra-low latency, and high bandwidth. Kalapala also noted that Verizon’s investment in infrastructure positions the company to deliver powerful AI services at scale, supporting the digital transformation and growth of businesses worldwide.

Ronnie Vasishta, Senior Vice President of Telecom at NVIDIA, explained that enterprises are eager to integrate AI solutions to add value and operate with efficiency. He commended Verizon’s integration of NVIDIA’s full-stack AI platform into the new solution, which will help enterprises of all sizes achieve their business objectives faster through AI.

The new AI-powered private 5G platform stack, developed by Verizon and NVIDIA, is designed to be plug-and-play, facilitating rapid innovation for third-party developers while supporting future evolutions in AI computing and connectivity applications. The platform can support multi-tenancy for various use cases and customers, is modular for scalability, and can deliver services remotely or on-site with portable private network solutions. The stack is designed to handle compute-intensive applications such as Generative AI Large Language Models, Vision Language Models, video streaming, broadcast management, computer vision, AR/VR/XR, autonomous mobile robots, and IoT.

Also Read: GlobalLogic & Nokia Boost 5G Innovation with APIs 

Key benefits of the Verizon 5G Private Network with Enterprise AI solution include:

  • Ultra-Low Latency: Verizon’s Private 5G Network offers the low latency required for real-time AI processing at the edge, critical for applications like robotics and augmented reality.
  • High Bandwidth and Reliability: The dedicated bandwidth and enhanced reliability of a private 5G network ensure optimal performance for data-intensive AI workloads.
  • Enhanced Security and Control: Private 5G networks provide improved security and control over data and applications, essential for businesses with sensitive AI workloads.
  • Scalability and Flexibility: The solution can be tailored to meet the specific needs of different industries, offering scalability and flexibility for future growth.
  • AI Processing at the Edge: With Mobile Edge Compute, customers can run AI workloads at the premise edge, ensuring quick decision-making through local processing and inferencing.

According to a PwC Global Artificial Intelligence Study, 75% of business executives view AI as a business advantage, with many already using it or planning to do so. A McKinsey Global Survey on AI indicated that 50% of companies had adopted AI in at least one business function, with 71% planning to expand AI use. These findings underscore the growing importance of mobile networks to support AI workloads. It’s estimated that 5G will generate $12 trillion in global economic output by 2035, with AI-enabled devices driving transformation across industries like healthcare, manufacturing, and logistics.

Kalapala concluded by stating that, in today’s fast-evolving digital landscape, businesses must stay ahead to thrive, and Verizon’s cutting-edge solutions empower customers to anticipate and adapt to change. Verizon’s leadership in edge computing and its collaboration with NVIDIA to power AI workloads on private 5G networks marks a significant advancement in enterprise AI capabilities. This solution, expected to be demonstrated in February, will allow businesses to deploy powerful AI applications at the edge, fostering innovation and efficiency across various sectors.