NEW YORK – Verizon today announced a new solution developed with NVIDIA. This enables a wide range of AI applications to run on Verizon’s reliable 5G private network with private mobile edge computing (MEC), demonstrating the transformative power of this innovation for enterprises. Verizon’s 5G Private Network with Enterprise AI solution combines Verizon’s secure, reliable, low-latency 5G private network and private MEC with the NVIDIA AI enterprise software platform and NVIDIA NIM microservices for enterprise customers. Deliver powerful real-time AI services on-premises. Verizon engineers plan to begin demonstrating the solution in early 2025.
“Generative AI with predictive capabilities is poised to become a key element of digital transformation and future business growth across nearly every industry,” said Srini Karapara, senior vice president of technology and product development at Verizon. states. “We leverage the unique strengths of our network, including Verizon’s global industry leadership in private networks and private MEC, and combine it with NVIDIA’s AI computing capabilities to meet the needs of security, ultra-low latency, and high bandwidth. Our continued investment in our network infrastructure enables us to leverage these powerful AI applications. This means we are uniquely positioned to deliver services at scale, driving digital transformation and future growth for businesses around the world.”
“Companies around the world are racing to integrate AI solutions that can deliver new value to employees, partners, and customers and help them run their businesses with greater efficiency,” said Ronnie Basishta, senior vice president of Telecom at NVIDIA. states. “Verizon’s integration of NVIDIA’s full-stack AI platform into a new solution for running AI workloads on private 5G networks will enable enterprises of all sizes to leverage AI to achieve their business goals faster. This is a huge step forward in helping people do this.”
The new AI-powered private 5G platform stack is an infrastructure developed by Verizon and NVIDIA designed to be plug-and-play, helping third-party developers innovate quickly while also supporting AI computing and various future evolution of AI and connected applications. It is modular and can support multiple use cases or multi-tenancy for customers and can be expanded as needed for bespoke solutions for different applications, remotely or permanently privately via a portable private network solution. These services can be provided on the customer’s premises with a network. On-site network. This stack supports compute-intensive applications such as generative AI large and vision language models, video streaming, broadcast management, computer vision (CV), augmented/virtual/extended reality (AR/VR/XR), and autonomous mobile robots. Built to handle. / Automated guided vehicles (AMR/AGV), IoT.
Key benefits of Verizon 5G private network and enterprise AI solutions include:
Ultra-low latency: Verizon’s private 5G network provides the ultra-low latency needed for real-time AI processing at the edge, critical for applications like robotics and augmented reality. High bandwidth and reliability: Dedicated bandwidth and enhanced reliability for your private network. 5G networks ensure optimal performance for data-intensive AI workloads. Enhanced security and control: Private 5G networks provide increased security and control for business-critical data and applications that use sensitive AI. Scalability and flexibility: The solution can be tailored to meet the specific needs of different industries and use cases, providing scalability and flexibility for future growth. AI processing at the edge: Verizon Private Network customers can run AI application workloads and services in the following locations: Premise Edge with Mobile Edge Computing prevents compute-intensive applications from traversing the Internet, leading to faster decision-making with local processing and inference.
PwC’s Global Artificial Intelligence Survey found that 75% of business executives see AI as a business benefit and report that they are already using AI or plan to use it. According to a McKinsey global study on AI, 50% of companies have implemented AI in at least one business function, and 71% plan to expand their use of AI in the near future. These insights highlight the importance of mobile networks that can support AI workloads in the future. 5G is estimated to generate $12 trillion in global economic output by 2035, and AI-enabled devices will play a key role in transforming industries such as healthcare, manufacturing, and logistics. The need for networks to manage AI workloads has never been greater.
“In today’s rapidly evolving digital environment, staying ahead of the curve is essential for businesses to grow. That’s where Verizon comes in. We don’t just provide connectivity; we… We provide cutting-edge solutions that enable our customers to anticipate and adapt to change, which is why entire major industries choose Verizon,” said Karapara.
Verizon was the first to launch mobile edge computing and continues its global leadership in edge computing capabilities. Verizon’s collaboration with NVIDIA to power AI workloads on private 5G networks represents a significant advancement in enterprise AI capabilities. Scheduled to be available for demonstration by innovation partners in February, the solution will enable enterprises to deploy powerful AI applications at the edge to drive innovation and efficiency across a variety of sectors.
