Private 5G networks and MEC
Verizon collaborats with Nvidia
Verizon collaborates with Nvidia to power AI workloads on 5G private networks with Mobile Edge Compute.
Verizon has announced a new solution developed in collaboration with Nvidia, aimed at enabling enterprises to run advanced AI applications on Verizon’s private 5G network with Mobile Edge Compute (MEC). This platform combines Verizon’s 5G private network and private MEC capabilities with Nvidia AI Enterprise software and NIM microservices to deliver real-time AI processing on-premises for businesses. Demonstrations of the solution are expected to begin in early 2025.
Key Features of the AI-Powered 5G Platform
The platform is designed to support compute-intensive applications such as generative AI language models, computer vision, augmented and virtual reality (AR/VR), video streaming, and IoT. It offers the following benefits:
- Ultra-Low Latency: Optimized for real-time edge AI processing, essential for robotics and augmented reality.
- High Bandwidth and Reliability: Ensures consistent performance for data-heavy AI workloads.
- Enhanced Security and Control: Tailored for sensitive business applications.
- Scalability: Modular design allows customization for various industry needs.
- Edge AI Processing: Local processing via MEC enables quick decision-making by avoiding internet-based computation.
Industry Context
The adoption of AI in business is growing rapidly. A global study by PwC indicates that 75% of executives view AI as a competitive advantage, while a McKinsey survey shows that 50% of companies have implemented AI in at least one area of operations. The same survey projects that 71% of businesses plan to expand AI use in the near future.
Moreover, 5G is expected to generate $12 trillion in global economic output by 2035, driven by AI-enabled solutions in industries such as healthcare, manufacturing, and logistics.
Collaborative Innovation
Verizon’s Senior Vice President of Technology and Product Development, Srini Kalapala, highlighted the importance of this collaboration, stating that the solution leverages the unique strengths of Verizon’s network infrastructure combined with Nvidia’s AI computing expertise. Similarly, Nvidia’s Senior Vice President of Telecommunications, Ronnie Vasishta, emphasized the role of this platform in helping enterprises achieve operational efficiency and meet business goals through AI.
This plug-and-play platform is also designed to accommodate third-party developers and future advancements in AI and connectivity. It can be deployed both remotely and on-site, supporting multi-tenancy and customized applications.
Demonstrations of the solution will be available starting February 2025.
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