Verizon And NVIDIA Power AI On 5G Private Networks

Verizon has partnered with NVIDIA to introduce a new AI-powered solution leveraging private 5G networks and Mobile Edge Compute (MEC). The collaboration combines Verizon’s low-latency, secure 5G private network with NVIDIA’s AI Enterprise software and microservices, enabling real-time AI applications for enterprises. Demonstrations of the solution are set to begin in early 2025.

This platform is designed for scalability and flexibility, supporting a range of AI workloads, including generative AI, augmented/virtual reality (AR/VR), computer vision, autonomous robotics, and IoT.

Key features include ultra-low latency, high bandwidth, enhanced security, and the ability to process AI workloads directly at the network edge. These capabilities enable businesses to perform compute-intensive tasks locally, reducing reliance on internet traversal and improving decision-making speed.

The system also supports modular, plug-and-play infrastructure, accommodating multi-tenancy and future AI advancements. Third-party developers can use the platform to rapidly innovate across various industries, such as healthcare, manufacturing, and logistics. It is expected to drive digital transformation by addressing critical business needs like operational efficiency and data security.

Industry insights underscore the importance of AI-enabled solutions, with studies indicating widespread adoption and plans for expansion. As 5G networks are projected to generate $12 trillion in global economic output by 2035, AI integration is poised to play a pivotal role.

Verizon’s leadership in edge computing and private MEC positions it to deliver these advanced capabilities at scale. Together with NVIDIA, Verizon aims to empower businesses by providing cutting-edge AI services that enhance productivity and support innovation. This partnership marks a significant milestone in leveraging AI and 5G to meet the evolving demands of enterprise customers.

Paulo Montenegro
Categories: Cellphones
Tags: 5G, AI (Artificial Intelligence), Augmented Reality (AR), IoT (Internet of Things), NVIDIA, Verizon, Virtual Reality (VR)