Verizon and NVIDIA deploy AI on private 5G network

Verizon’s 5G Private Network with Enterprise AI solution draws in Verizon’s secure, reliable, low-latency 5G private network and private MEC with NVIDIA AI Enterprise software platform and NVIDIA NIM microservices to deliver powerful, real-time AI services on premises for enterprise customers. Verizon engineers will begin demonstrations of this solution in early 2025.

“Generative AI, with its predictive capabilities, is poised to be a critical component of digital transformation and future business growth in almost all industries,” commented Srini Kalapala, Senior Vice President of Technology and Product Development at Verizon. “We're leveraging our network's unique strengths including private networks and Verizon’s global industry leadership in private MEC, combined with NVIDIA’s AI compute capabilities to enable real-time AI applications that require security, ultra-low latency, and high bandwidth. Our ongoing investment in our network infrastructure means we're uniquely positioned to deliver these powerful AI services at scale, driving the digital transformation and fueling the future growth of businesses worldwide.”

“Enterprises everywhere are racing to integrate AI solutions that bring new value to their employees, partners and customers, and can also help them operate with extreme efficiency,” added Ronnie Vasishta, Senior Vice President of telecom at NVIDIA. “Verizon’s integration of NVIDIA’s full-stack AI platform into its new solution for running AI workloads on private 5G networks is a big step forward in helping enterprises of all sizes reach their business objectives faster with AI.”

The new AI-powered private 5G platform stack is a Verizon and NVIDIA-developed infrastructure designed to be plug and play, supporting third-party developers to innovate with speed, while also accommodating future evolutions in AI computing and a variety of AI and connectivity applications. It can support multi-tenancy for multiple use cases or customers is modular to be able to scale as needed for a bespoke solution for various applications, and can provide these services remotely via portable private network solutions or on a customer’s premise with a permanent private network on site.

The stack is being designed to handle compute-intensive apps including Generative AI Large Language Models and Vision Language Models, Video streaming, broadcast management, Computer Vision (CV), Augmented/Virtual/Extended Reality (AR/VR/XR), Autonomous Mobile Robot/ Automated Guided Vehicle (AMR/AGV), and IoT.

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

• Ultra-low latency: Verizon's Private 5G Network provides the ultra-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 offer 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 and use cases, providing scalability and flexibility for future growth
• AI processing at the Edge: Verizon private network customers can run their AI application workloads and services at the premise edge with Mobile Edge Compute to prevent compute-intensive applications from traversing the internet, leading to quick decision-making with local processing and inferencing

“In today's rapidly evolving digital landscape, staying ahead of the curve is essential for businesses to thrive. That's where Verizon comes in. We don't just offer connectivity; we deliver cutting-edge solutions that empower our customers to anticipate and adapt to change. It's why major industries across the board choose Verizon,” said Kalapala.