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Verizon Collaborates with NVIDIA to Power AI Workloads on 5G Private Networks with Mobile Edge Compute

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Verizon has announced a new collaboration with NVIDIA to enable AI applications on Verizon's 5G private networks with Mobile Edge Compute (MEC). The solution combines Verizon's secure 5G private network and MEC with NVIDIA AI Enterprise software platform and NVIDIA NIM microservices.

The platform is designed to be plug & play, supporting multi-tenancy and various AI applications including Generative AI, Computer Vision, AR/VR/XR, and IoT. Key benefits include ultra-low latency, high bandwidth, enhanced security, and scalability. Demonstrations will begin in early 2025.

According to cited studies, 75% of business executives consider AI a business advantage, and 50% of companies have adopted AI in at least one business function. The solution is expected to be available for demonstrations in February.

Verizon ha annunciato una nuova collaborazione con NVIDIA per abilitare applicazioni AI sulle reti private 5G di Verizon con Mobile Edge Compute (MEC). La soluzione combina la rete privata 5G sicura di Verizon e MEC con la piattaforma software NVIDIA AI Enterprise e i microservizi NVIDIA NIM.

La piattaforma è progettata per essere plug & play, supportando la multi-utenza e varie applicazioni AI tra cui AI generativa, visione artificiale, AR/VR/XR e IoT. I principali vantaggi includono ultra-bassa latenza, alta larghezza di banda, sicurezza migliorata e scalabilità. Le dimostrazioni inizieranno all'inizio del 2025.

Secondo studi citati, il 75% dei dirigenti aziendali considera l'AI un vantaggio competitivo, e il 50% delle aziende ha adottato l'AI in almeno una funzione aziendale. La soluzione dovrebbe essere disponibile per dimostrazioni a febbraio.

Verizon ha anunciado una nueva colaboración con NVIDIA para habilitar aplicaciones de IA en las redes privadas 5G de Verizon con Mobile Edge Compute (MEC). La solución combina la red privada 5G segura de Verizon y MEC con la plataforma de software NVIDIA AI Enterprise y los microservicios NVIDIA NIM.

La plataforma está diseñada para ser plug & play, soportando multi-inquilinato y varias aplicaciones de IA, incluyendo IA generativa, visión por computadora, AR/VR/XR e IoT. Los beneficios clave incluyen latencia ultra baja, alta capacidad de ancho de banda, seguridad mejorada y escalabilidad. Las demostraciones comenzarán a principios de 2025.

Según estudios citados, el 75% de los ejecutivos de negocios consideran la IA como una ventaja comercial, y el 50% de las empresas han adoptado IA en al menos una función empresarial. Se espera que la solución esté disponible para demostraciones en febrero.

버라이즌NVIDIA와 협력하여 버라이즌의 5G 프라이빗 네트워크에서 Mobile Edge Compute (MEC)를 통해 AI 애플리케이션을 활성화한다고 발표했습니다. 이 솔루션은 버라이즌의 안전한 5G 프라이빗 네트워크와 MEC를 NVIDIA AI Enterprise 소프트웨어 플랫폼 및 NVIDIA NIM 마이크로서비스와 결합합니다.

이 플랫폼은 플러그 앤 플레이 방식으로 설계되어 다중 사용자 지원 및 생성 AI, 컴퓨터 비전, AR/VR/XR, IoT 등 다양한 AI 애플리케이션을 지원합니다. 주요 이점으로는 초저지연, 높은 대역폭, 향상된 보안 및 확장성이 포함됩니다. 시연은 2025년 초에 시작될 예정입니다.

인용된 연구에 따르면, 비즈니스 임원의 75%가 AI를 비즈니스 우위로 간주하고, 50%의 기업이 최소 하나의 비즈니스 기능에서 AI를 채택했습니다. 이 솔루션은 2월에 시연을 위해 제공될 것으로 예상됩니다.

Verizon a annoncé une nouvelle collaboration avec NVIDIA pour activer des applications IA sur les réseaux privés 5G de Verizon avec le Mobile Edge Compute (MEC). La solution combine le réseau privé 5G sécurisé de Verizon et le MEC avec la plateforme logicielle NVIDIA AI Enterprise et les microservices NVIDIA NIM.

La plateforme est conçue pour être plug & play, prenant en charge le multi-tenant et diverses applications IA, y compris l'IA générative, la vision par ordinateur, l'AR/VR/XR et l'IoT. Les principaux avantages incluent une latence ultra-faible, une bande passante élevée, une sécurité renforcée et une évolutivité. Les démonstrations débuteront au début de 2025.

Selon des études citées, 75 % des dirigeants d'entreprise considèrent l'IA comme un avantage commercial, et 50 % des entreprises ont adopté l'IA dans au moins une fonction commerciale. La solution devrait être disponible pour des démonstrations en février.

Verizon hat eine neue Zusammenarbeit mit NVIDIA angekündigt, um KI-Anwendungen in den 5G-Privatnetzen von Verizon mit Mobile Edge Compute (MEC) zu ermöglichen. Die Lösung kombiniert das sichere 5G-Privatnetz von Verizon und MEC mit der Softwareplattform NVIDIA AI Enterprise und den NVIDIA NIM-Mikrodiensten.

Die Plattform ist als Plug-and-Play konzipiert und unterstützt Multi-Tenancy sowie verschiedene KI-Anwendungen wie Generative AI, Computer Vision, AR/VR/XR und IoT. Zu den wichtigsten Vorteilen gehören ultra-niedrige Latenz, hohe Bandbreite, verbesserte Sicherheit und Skalierbarkeit. Die Demonstrationen beginnen Anfang 2025.

Laut zitierten Studien betrachten 75 % der Unternehmensleiter KI als Wettbewerbsvorteil, und 50 % der Unternehmen haben KI in mindestens einer Geschäfts-funktion eingesetzt. Die Lösung wird voraussichtlich im Februar für Demonstrationen verfügbar sein.

Positive
  • Partnership with NVIDIA enhances Verizon's AI capabilities in 5G private networks
  • Platform supports multiple high-value AI applications and use cases
  • Solution offers edge computing capabilities reducing latency and improving security
  • Addresses growing market demand with 75% of executives considering AI a business advantage
Negative
  • Solution not immediately available, with demonstrations starting in early 2025
  • Requires significant infrastructure investment for implementation

Insights

This strategic partnership marks a significant advancement in enterprise-grade AI deployment. By combining Verizon's private 5G infrastructure with NVIDIA's AI expertise, the solution addresses critical challenges in edge computing - ultra-low latency, security and high bandwidth. The platform's plug & play architecture and multi-tenancy support demonstrate sophisticated engineering that could accelerate AI adoption across industries. The ability to process AI workloads at the edge, particularly for compute-intensive applications like GenAI and computer vision, positions this solution as a potential game-changer for enterprise digital transformation.

The market timing of this collaboration is strategic, considering 75% of business executives view AI as a competitive advantage. With projected $12 trillion in 5G-powered economic output by 2035, Verizon is positioning itself at the intersection of two transformative technologies. The solution's modular, scalable architecture addresses enterprise concerns about future-proofing investments. This partnership could significantly strengthen Verizon's enterprise offerings and market position, particularly in high-value sectors like manufacturing, healthcare and logistics where edge AI capabilities are becoming increasingly critical.

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

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


FAQ

When will Verizon (VZ) begin demonstrations of its 5G Private Network with Enterprise AI solution?

Verizon will begin demonstrations of the solution in early 2025.

What AI applications will Verizon's (VZ) new 5G private network platform support?

The platform will support Generative AI, Computer Vision, AR/VR/XR, Autonomous Mobile Robots, IoT, and various other AI applications.

What are the key benefits of Verizon's (VZ) 5G Private Network with Enterprise AI solution?

Key benefits include ultra-low latency, high bandwidth, enhanced security and control, scalability, flexibility, and AI processing at the edge.

How does Verizon's (VZ) partnership with NVIDIA enhance its 5G private network capabilities?

The partnership integrates NVIDIA's AI Enterprise software platform and NIM microservices with Verizon's 5G private network and MEC to enable real-time AI services on premises.

What market demand is Verizon (VZ) addressing with its new AI-powered 5G platform?

According to studies cited, 75% of business executives consider AI a business advantage, and 50% of companies have adopted AI in at least one business function.

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