Verizon, Nvidia Team to Power AI Workloads on 5G Private Networks

It can handle compute intensive apps including autonomous mobile robot/automated guided vehicle and IoT, as well as generative AI large language models

Liz Hughes, Editor, IoT World Today

December 17, 2024

2 Min Read
Getty Images

Verizon and Nvidia announced they have developed a new platform the companies said represent the next phase in accelerating AI for enterprise customers.

The new 5G Private Network with Enterprise AI allows a large range of AI applications to run over Verizon’s 5G private network with private Mobile Edge Compute (MEC) and combines it with Nvidia’s AI enterprise software platform and Nvidia’s NIM microservices to “deliver powerful, real-time AI services on premises for enterprise customers.” 

The AI-powered private 5G platform stack was designed to be plug-and-play and let businesses run large AI tasks on a secure, reliable private network right at their location. It offers fast speeds, high capacity and powerful computing, helping companies of all sizes achieve their goals more quickly with AI.

It can handle compute intensive apps including generative AI large language models and vision language models, computer vision, augmented, virtual and extended reality, autonomous mobile robot/automated guided vehicle and IoT, as well as video streaming and broadcast management.  

“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,” said 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.”

Related:LG Electronics, Nextivity Partner to Boost Private 5G for IoT, AI

Srini Kalapala, senior vice president of technology and product development at Verizon, said generative AI, with its predictive capabilities, is poised to be a critical component of digital transformation and future business growth in almost all industries.

“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,” Kalapala said. “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.”

Verizon engineers plan to begin demonstrations early next year.

About the Author

Liz Hughes

Editor, IoT World Today, IoT World Today

Liz Hughes is an award-winning digital media editor with more than two decades of experience in newspaper, magazine and online media industries. 

A proven digital media strategist and editor, Liz has produced content and offered editorial support and leadership for a variety of web publications, including Fast Company, NBC Boston, Street Fight, QuinStreet, WTWH Media, AOL/Patch Media and Design News.

A skilled social media strategist experienced in developing and maintaining an audience across multiple platforms and brands, Liz also enjoys sharing her knowledge and expertise to help businesses small and large.

Sign Up for the Newsletter
The most up-to-date news and insights into the latest emerging technologies ... delivered right to your inbox!

You May Also Like