Verizon and NVIDIA Deliver AI on 5G Private Networks with Edge Computing

Verizon teams up with NVIDIA to bring AI to the edge on 5G private networks. Leveraging Mobile Edge Compute and NVIDIA AI technology, enterprises can deploy real-time AI applications securely and efficiently. Discover the benefits of this groundbreaking collaboration for industries like robotics, AR, and IoT.
Verizon and NVIDIA Deliver AI on 5G Private Networks with Edge Computing

Verizon and NVIDIA Join Forces to Bring AI Workloads to 5G Private Networks with Mobile Edge Compute

Verizon, in collaboration with NVIDIA, has introduced a cutting-edge solution that merges advanced artificial intelligence (AI) capabilities with Verizonโ€™s secure and reliable 5G private networks and Mobile Edge Compute (MEC). This initiative is designed to empower enterprises by delivering real-time AI applications directly at the edge, demonstrating the transformative potential of this technology across various industries.


The solution integrates Verizonโ€™s low-latency private 5G infrastructure with NVIDIAโ€™s AI Enterprise software platform and NIM microservices. Together, these technologies provide businesses with the ability to deploy AI-powered services at the edge, enabling faster decision-making and enhancing operational efficiency. Initial demonstrations of this innovative platform are scheduled for early 2025.

Expanding the Role of AI in Enterprise Solutions

AI, particularly Generative AI, is reshaping industries with its ability to predict outcomes and automate processes. Verizonโ€™s collaboration with NVIDIA leverages the unique strengths of both companies to bring advanced AI capabilities to enterprises. This solution capitalizes on Verizonโ€™s leadership in private MEC and NVIDIAโ€™s expertise in AI computation, offering secure, low-latency environments ideal for real-time AI applications.

Srini Kalapala, Senior Vice President of Technology and Product Development at Verizon, emphasized the significance of this collaboration, stating, โ€œGenerative AI is becoming a cornerstone of digital transformation across industries. By combining Verizonโ€™s private networks and edge computing capabilities with NVIDIAโ€™s AI platform, we are enabling businesses to deploy secure, ultra-low-latency AI applications that support their digital transformation goals.โ€

Similarly, Ronnie Vasishta, Senior Vice President of Telecom at NVIDIA, highlighted the partnershipโ€™s impact, noting, โ€œEnterprises are eager to adopt AI solutions that deliver new value while improving efficiency. Integrating NVIDIAโ€™s AI technology with Verizonโ€™s private 5G networks is a major step forward in making AI accessible and transformative for businesses of all sizes.โ€

A Flexible and Scalable AI Platform

The Verizon-NVIDIA collaboration introduces a highly adaptable platform that simplifies AI deployment for enterprises. The plug-and-play nature of the solution allows businesses to adopt AI without significant infrastructure changes, fostering innovation and accelerating time-to-market. Key features of the platform include:

  • Multi-Tenancy Support: Allows multiple users and applications to share the platform efficiently.
  • Scalability: Modular design enables businesses to scale their AI capabilities as their needs evolve.
  • Deployment Versatility: Supports both portable network solutions and permanent on-premises installations, catering to diverse operational requirements.

This robust infrastructure is designed to support demanding applications, including Generative AI models, computer vision, augmented reality (AR), virtual reality (VR), autonomous robotics, and IoT workloads.

Advantages of AI-Powered 5G Private Networks

The integration of AI with private 5G networks offers several distinct benefits for enterprises, making it a game-changer for industries requiring high-performance computing and real-time analytics:

  1. Ultra-Low Latency: Enables real-time processing, essential for applications such as robotics and augmented reality.
  2. High Bandwidth and Reliability: Ensures seamless performance for data-heavy AI tasks.
  3. Enhanced Security: Provides robust protection for sensitive AI workloads by keeping data processing within the private network.
  4. Edge AI Processing: Prevents compute-intensive tasks from traversing the public internet, allowing for faster local decision-making.
  5. Customizable Scalability: Meets the specific requirements of diverse industries and adapts to future growth needs.

These benefits make the platform ideal for applications in sectors like healthcare, manufacturing, logistics, and more, where real-time data processing and decision-making are critical.

AI and 5G: Transforming the Digital Landscape

Recent studies underscore the growing importance of AI in business operations.

A PwC report revealed that 75% of business executives view AI as a competitive advantage, with many organizations already implementing AI or planning to expand its use. Additionally, a McKinsey survey found that 50% of companies have adopted AI in at least one business function, with 71% planning further investments in AI technology.

These trends highlight the urgency for robust networks capable of supporting AI workloads. By 2035, 5Gย is expected to drive $12 trillion in global economic output, with AI-enabled devices playing a pivotal role in revolutionizing industries. The Verizon-NVIDIA collaboration addresses this demand, enabling enterprises to integrate AI into their operations efficiently.

Leadership in Edge Computing and AI Integration

Verizon has long been at the forefront of innovation, becoming the first company to launch Mobile Edge Compute. Its leadership in edge computing and private 5G networks positions the company as a trusted partner for businesses navigating the digital transformation journey.

The partnership with NVIDIA represents a significant advancement in enterprise AI capabilities. By integrating NVIDIAโ€™s full-stack AI platform with Verizonโ€™s private 5G network, the collaboration empowers businesses to leverage real-time AI solutions at the edge. This innovation accelerates decision-making and enhances operational efficiency, ensuring businesses remain competitive in an increasingly digital world.

Kalapala summed up the initiativeโ€™s impact, stating, โ€œVerizon delivers not just connectivity, but solutions that enable businesses to anticipate and adapt to change. Our collaboration with NVIDIA underscores our commitment to driving innovation and delivering unmatched value to our customers.โ€

Demonstrations Begin in Early 2025

Verizonย and NVIDIA plan to showcase the capabilities of their AI-powered private 5G platform through demonstrations starting in February 2025. These demonstrations will highlight the platformโ€™s potential to revolutionize enterprise operations across industries, from healthcare to manufacturing and beyond.

As businesses embrace digital transformation, the integration of AI with private 5G networks offers a powerful tool for innovation and growth. Verizon and NVIDIA are leading the way, providing enterprises with the technology they need to thrive in a rapidly evolving landscape.


Recent Content

NVIDIA has launched a major U.S. manufacturing expansion for its next-gen AI infrastructure. Blackwell chips will now be produced at TSMCโ€™s Arizona facilities, with AI supercomputers assembled in Texas by Foxconn and Wistron. Backed by partners like Amkor and SPIL, NVIDIA is localizing its AI supply chain from silicon to system integrationโ€”laying the foundation for โ€œAI factoriesโ€ powered by robotics, Omniverse digital twins, and real-time automation. By 2029, NVIDIA aims to manufacture up to $500B in AI infrastructure domestically.
Samsung has launched two new rugged devicesโ€”the Galaxy XCover7 Pro smartphone and the Tab Active5 Pro tabletโ€”designed for high-intensity fieldwork in sectors like logistics, healthcare, and manufacturing. These devices offer military-grade durability, advanced 5G connectivity, and enterprise-ready security with Samsung Knox Vault. Features like hot-swappable batteries, gloved-touch sensitivity, and AI-powered tools enhance productivity and reliability in harsh environments.
Nokia, Digita, and CoreGo have partnered to roll out private 5G networks and edge computing solutions at high-traffic event venues. Using Nokia’s Digital Automation Cloud (DAC) and CoreGoโ€™s payment and access tech, the trio delivers real-time data flow, reliable connectivity, and enhanced guest experience across Finland and international locationsโ€”serving over 2 million attendees to date.
OpenAI is developing a prototype social platform featuring an AI-powered content feed, potentially placing it in direct competition with Elon Musk’s X and Metaโ€™s AI initiatives. Spearheaded by Sam Altman, the project aims to harness user-generated content and real-time interaction to train advanced AI systemsโ€”an approach already used by rivals like Grok and Llama.
AI Pulse: Telecomโ€™s Next Frontier is a definitive guide to how AI is reshaping the telecom landscape โ€” strategically, structurally, and commercially. Spanning over 130 pages, this MWC 2025 special edition explores AIโ€™s growing maturity in telecom, offering a comprehensive look at the technologies and trends driving transformation.

Explore strategic AI pillarsโ€”from AI Ops and Edge AI to LLMs, AI-as-a-Service, and governanceโ€”and learn how telcos are building AI-native architectures and monetization models. Discover insights from 30+ global CxOs, unpacking shifts in leadership thinking around purpose, innovation, and competitive advantage.

The edition also examines connected industries at the intersection of Private 5G, AI, and Satelliteโ€”fueling transformation in smart manufacturing, mobility, fintech, ports, sports, and more. From fan engagement to digital finance, from smart cities to the industrial metaverse, this is the roadmap to telecomโ€™s next eraโ€”where intelligence is the new infrastructure, and telcos become the enablers of everything connected.
In AI in Telecom: Strategic Themes, Maturity, and the Road Ahead, we explore how AI has shifted from buzzword to backbone for global telecom leaders. From AI-native networks and edge inferencing, to domain-specific LLMs and behavioral cybersecurity, this article maps out the strategic pillars, real-world use cases, and monetization models driving the AI-powered telecom era. Featuring CxO insights from Telefรณnica, KDDI, MTN, Telstra, and Orange, it captures the voice of a sector transforming infrastructure into intelligence.

Download Magazine

With Subscription
Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore the collaboration between Purdue Research Foundation, Purdue University, Ericsson, and Saab at the Aviation Innovation Hub. Discover how private 5G networks, real-time analytics, and sustainable innovations are shaping the "Airport of the Future" for a smarter, safer, and greener aviation industry....
Article & Insights
This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...

Subscribe To Our Newsletter

Scroll to Top