Verizon and NVIDIA Collaborate to Power AI Applications on Private 5G Networks

Verizon and Nvidia Unveil AI-Powered Private 5G Network Solution for Enterprises

American wireless carrier Verizon has announced a new solution in collaboration with Nvidia that enables AI applications to run over Verizon's 5G private network with Mobile Edge Compute (MEC). This solution brings together Verizon's 5G private network and Nvidia's AI Enterprise software platform and Nvidia NIM microservices to deliver real-time AI services on premises for enterprises. The offering supports a wide range of use cases, including Generative AI, Computer Vision, AR/VR, robotics, and IoT. Also Read: Verizon to Expand Private 5G Network Offerings "The new AI-powered private 5G platform stack is a Verizon and Nvidia developed infrastructure designed to be plug and 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," the companies said in a joint statement on Tuesday, December 17. Also Read: Verizon Launches 5G Network APIs for Developers This plug-and-play infrastructure supports scalability and flexibility, allowing enterprises to customise solutions for various needs, from generative AI to autonomous vehicles. The solution is designed to be modular, scalable, and capable of supporting various AI and connectivity applications. Verizon's infrastructure aims to accommodate future AI computing evolution while supporting third-party developers in innovating rapidly. This solution is expected to be demonstrated in early 2025 (February), helping businesses deploy AI applications at scale. Businesses can benefit from faster decision-making with local AI processing at the edge, eliminating the need to transfer large volumes of data across the internet. Verizon notes that the AI-powered private 5G platform stack can provide these services remotely via portable private network solutions or on a customer's premise with a permanent private network on site. Also Read: Verizon Leverages AI Tools to Transform Customer Experience "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 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. Verizon, which was the first carrier to launch Mobile Edge Compute, highlighted that this collaboration with Nvidia to power AI workloads on private 5G networks represents a major advancement in enterprise AI capabilities. Also Read: Verizon Unveils Network in a Box Prototype: Portable Private Network for Events Supporting its new AI solution, Verizon cited two studies: a PwC Global Artificial Intelligence Study reported that 75 percent of business executives view AI as a business advantage and are either using it or planning to implement it, while a McKinsey Global Survey on AI indicated that 50 percent of companies had adopted AI in at least one business function, with 71 percent planning to expand AI use in the near future. As 5G is projected to contribute USD 12 trillion to the global economy by 2035, Verizon emphasised the growing need for robust networks to support AI workloads.

Verizon collaborates with NVIDIA to power AI workloads on 5G private networks with Mobile Edge Compute

Verizon's reliable, secure private 5G network and Private Mobile Edge Compute (MEC) with NVIDIA AI combine to deliver powerful, real-time AI services at the edge, empowering customers through innovation 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.

Verizon, NVIDIA Partner to Drive AI Workloads on 5G Networks | AI News

5G is projected to generate $12 trillion in global economic output by 2035, with AI playing a central role. American telecommunications company Verizon has announced a collaboration with NVIDIA to deliver a solution enabling AI applications to operate on Verizon's 5G private network with mobile edge computing (MEC). This development, announced on Tuesday, is expected to revolutionise enterprise operations by providing real-time AI services at the network edge. Verizon's secure 5G infrastructure and private MEC will be integrated with NVIDIA AI Enterprise software and NVIDIA NIM microservices. According to the company, demonstrations of this solution are scheduled to begin early next year. "Generative AI is becoming a cornerstone of digital transformation and business growth. We are enabling real-time AI applications that meet the needs of modern businesses," said Srini Kalapala, senior VP of technology and product development at Verizon. The collaboration's AI-powered private 5G platform supports compute-intensive applications, including generative AI models, video streaming, augmented reality, robotics, and IoT. The platform is also claimed to be designed for scalability and flexibility, enabling developers to innovate rapidly while ensuring high security and reliability. "Verizon's integration of NVIDIA's full AI platform into its private 5G networks helps enterprises achieve business objectives more efficiently and effectively," Ronnie Vasishta, senior VP of telecom at NVIDIA, said. The solution's key features are designed to address the demands of modern AI-driven enterprises. It offers ultra-low latency, enabling real-time AI processing, which is critical for applications like robotics, augmented reality, and video analytics, where instantaneous decisions are essential. The solution also provides high bandwidth and ensures the seamless handling of data-intensive workloads. This is particularly important for industries like healthcare, logistics, and manufacturing that rely on large-scale data processing and real-time monitoring. The solution incorporates enhanced security measures to address security concerns. These measures give enterprises greater control over sensitive data and reduce exposure to cyber threats, an essential feature for sectors such as finance and healthcare. Additionally, the solution uses edge AI processing by keeping computation local with MEC technology. This minimises the need to transmit data over the internet, improves response times and maintains data security while enabling quick decision-making for critical operations. According to a PwC study, 75% of executives consider AI a business advantage. Meanwhile, McKinsey reports that 71% of companies plan to expand their use of AI. By 2035, 5G is projected to generate $12 trillion in global economic output, with AI playing a central role in sectors such as healthcare and manufacturing. Verizon and NVIDIA's partnership expands on the transformative potential of 5G and AI. This initiative aims to empower enterprises to deploy advanced AI applications while driving innovation and efficiency across industries. In November, NVIDIA, along with SoftBank Group's telecoms division, SoftBank Corp., launched the world's first AI and 5G telecommunications network, AITRAS.

Verizon, Nvidia Team On Private, 5G Networking Offering To Power Enterprise AI

The tech and carrier giants have joined forces to help enterprises run massive AI workloads over a secure, reliable private or 5G network, Verizon and Nvidia revealed Tuesday. Verizon and Nvidia have come together to fuel real-time AI services for enterprises, each bringing along their respective strengths in networking and microservices to the partnership, the two companies revealed Tuesday. The new offering, 5G Private Network with Enterprise AI, will allow a wide range of AI applications and workloads to run over Verizon's 5G private network with private Mobile Edge Compute (MEC). The carrier giant is bringing its low latency 5G private network and private MEC to the partnership alongside Nvidia's AI Enterprise software platform and its NIM microservices. The offering is designed to be plug and play for enterprises, the two companies said. Verizon did not say whether the offering would be available through the channel initially. "We are very excited to unveil this proof of concept today. While we are not announcing a commercialization date today, Verizon engineers will begin demonstrations of this solution in early 2025," a spokesperson for the company told CRN. [RELATED: Verizon Spending Spree Continues: Telecom Giant To Buy $1B In US Cellular Assets] The platform will be able to support multitenancy for multiple use cases or customers or can be deployed on a customer's premises with a permanent private network on site or via portable private network connectivity. It will also be able to scale on demand based on the application requirements of the customer, the two companies said. Verizon and Nvidia said that 5G Private Network with Enterprise AI is being built to handle compute- intensive apps, such as generative AI large language models and vision language models, video streaming, broadcast management, computer vision, augmented, virtual and extended reality, autonomous mobile robot and automated guided vehicle, and IoT. "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," Srini Kalapala, senior vice president of technology and product development at Verizon, said in a statement. Verizon CEO Hans Vestberg said during the carrier's most recent earnings call in October that fixed wireless and AI are two big pieces of his company's growth strategy heading into 2025.

Verizon Teams Up With Nvidia To Power AI Apps Over Private 5G Networks - NVIDIA (NASDAQ:NVDA), Verizon Communications (NYSE:VZ)

The platform supports AI, AR/VR, robotics, IoT, and streaming services. On Tuesday, Verizon Communications Inc VZ announced a new solution developed with Nvidia Corp NVDA that enables a wide range of AI applications to run over Verizon's reliable 5G private network with private Mobile Edge Compute (MEC). The new AI-powered private 5G platform stack is an infrastructure developed by Verizon and Nvidia that is designed to plug and play, helping third-party developers innovate while accommodating future evolutions in AI computing and various AI and connectivity applications. It can provide these services remotely via portable private network solutions or on a customer's premises with a permanent private network. Also Read: Walmart Teams Up With China's Meituan to Boost E-Commerce The stack can 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. Verizon engineers will begin demonstrations of this solution in early 2025. Srini Kalapala, Senior Vice President of Technology and Product Development at Verizon, acknowledged leveraging its private networks and Verizon's global industry leadership in private MEC, combined with Nvidia's AI computing capabilities to enable real-time AI applications that require security, ultra-low latency, and high bandwidth. Ronnie Vasishta, Senior Vice president of Telecom at Nvidia, noted Verizon's integration of Nvidia's full-stack AI platform into its new solution for running AI workloads on private 5G networks as a big step forward in helping enterprises of all sizes reach their business objectives faster with AI. In October, Keybanc analyst Brandon Nispel downgraded Verizon stock from Overweight to Sector Weight following weaker-than-expected quarterly print. Nispel flagged Verizon's potential acquisition of Frontier Communications Parent, Inc FYBR as restricting its ability to repurchase shares soon, which could otherwise generate over 6% yield. He also highlighted slowing improvements in postpaid phone net additions and higher device subsidies, indicating higher costs. Price action: VZ stock is down 0.02% at $40.87 at the last check on Tuesday. Also Read: Trump and Netflix Boss Sarandos Set for High-Stakes Mar-a-Lago Meeting Image via Shutterstock Market News and Data brought to you by Benzinga APIs