VZ

Verizon Unveils New AI Solution in Collaboration with NVIDIA for Enhanced 5G Private Network Applications

Verizon and NVIDIA launch an AI solution for enterprises on a private 5G network, enabling real-time applications.

Quiver AI Summary

Verizon has announced a new AI solution developed in collaboration with NVIDIA, which allows a variety of AI applications to operate over Verizon’s 5G private network enhanced with private Mobile Edge Compute (MEC). This solution merges Verizon's secure, low-latency networking capabilities with NVIDIA’s AI software platform to provide real-time AI services directly on enterprise premises. Demonstrations of this technology will begin in early 2025. Key features include ultra-low latency for real-time applications, enhanced security, scalability, and the ability to handle intensive computing tasks such as Generative AI and computer vision. This initiative is part of Verizon's strategy to support the growing demand for AI integration across industries, as evidenced by research highlighting the increasing recognition of AI's value in business. Verizon seeks to empower enterprises by enabling faster adoption of AI technologies through its advanced private 5G network infrastructure.

Potential Positives

  • Verizon has developed a new AI solution in collaboration with NVIDIA, highlighting its commitment to innovation and leadership in the 5G private network space.
  • The solution facilitates ultra-low latency real-time AI processing, which is critical for industries relying on prompt decision-making and advanced applications like robotics and augmented reality.
  • Verizon's integration of NVIDIA's AI platform into its private 5G network positions the company to attract enterprise customers seeking to enhance operational efficiency through AI.
  • The new infrastructure is designed to accommodate scalability and flexibility, allowing businesses to tailor solutions to their specific needs, thus enhancing customer satisfaction and retention.

Potential Negatives

  • The announcement does not provide a timeline for when the full capabilities of the new solution will be available beyond initial demonstrations in early 2025, which may create uncertainty for prospective enterprise customers looking for immediate solutions.
  • The press release lacks specific case studies or pilot program results, potentially making it difficult for enterprises to evaluate the solution's effectiveness and real-world application.
  • There is no mention of competitive landscape, which may raise concerns about how Verizon’s offering differentiates itself from similar solutions offered by competitors in the market.

FAQ

What is the Verizon 5G Private Network with Enterprise AI solution?

The solution combines Verizon’s 5G private network and NVIDIA AI software to enable real-time AI applications for enterprises.

How does the partnership with NVIDIA benefit Verizon's AI solution?

NVIDIA's AI compute capabilities enhance the ability to run data-intensive AI workloads securely and efficiently on private 5G networks.

What industries can benefit from Verizon's AI-powered private 5G platform?

The platform supports various industries such as healthcare, manufacturing, and logistics by enabling efficient AI applications.

When will demonstrations of this new AI solution begin?

Demonstrations of the Verizon 5G Private Network with Enterprise AI solution are expected to begin in early 2025.

What advantages does the solution offer for AI applications?

Advantages include ultra-low latency, high bandwidth, enhanced security, and scalability tailored for diverse enterprise needs.

Disclaimer: This is an AI-generated summary of a press release distributed by GlobeNewswire. The model used to summarize this release may make mistakes. See the full release here.


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Full Release



NEW YORK, Dec. 17, 2024 (GLOBE NEWSWIRE) -- Verizon today announced a new solution developed with NVIDIA that enables a wide range of AI applications to run over Verizon’s reliable 5G private network with private Mobile Edge Compute (MEC), demonstrating the transformative power of this innovation to enterprises. Verizon’s 5G Private Network with Enterprise AI solution brings together 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,” said 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,” 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.”



The new AI powered private 5G platform stack is a Verizon and NVIDIA developed infrastructure designed to be plug & play, helping 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 built 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 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.







A PwC Global Artificial Intelligence Study


reported that 75% of business executives considered AI a business advantage and were either already using it or planning to do so.


A McKinsey Global Survey on AI


indicated that 50% of companies had adopted AI in at least one business function, with 71% planning to expand AI use in the near future. These insights underscore the importance of mobile networks being able to support AI workloads in the future. It is estimated that 5G will power $12 trillion in global economic output by 2035,with AI-enabled devices playing a key role in transforming industries like healthcare, manufacturing, and logistics. The need for networks to manage AI workloads has never been greater.



“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.



Verizon was the first to launch Mobile Edge Compute 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. This solution, which the innovation partners expect will be available for demonstrations in February, will enable businesses to deploy powerful AI applications at the edge, driving innovation and efficiency across various sectors.




About Verizon



Verizon Communications Inc. (NYSE, Nasdaq: VZ) powers and empowers how its millions of customers live, work and play, delivering on their demand for mobility, reliable network connectivity and security. Headquartered in New York City, serving countries worldwide and nearly all of the Fortune 500, Verizon generated revenues of $134.0 billion in 2023. Verizon’s world-class team never stops innovating to meet customers where they are today and equip them for the needs of tomorrow. For more, visit

verizon.com

or find a retail location at

verizon.com/stores

.




MEDIA CONTACT:



Karen Schulz


864.561.1527


Karen.schulz@verizonwireless.com






This article was originally published on Quiver News, read the full story.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

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