Verizon unveils AI strategy to power next-gen AI demands
Verizon Business has unveiled Verizon AI Connect, a comprehensive suite of solutions designed to support AI workloads at scale. The strategy addresses the growing demand for network capacity and computational power, particularly focusing on real-time inference processing, which McKinsey projects will represent 60-70% of AI workloads by 2030.
The company is leveraging its existing infrastructure, including 5G networks, fiber connectivity, and edge computing capabilities. Google Cloud and Meta are already utilizing this additional capacity for their AI workloads. Verizon is expanding its AI ecosystem through strategic partnerships with NVIDIA for GPU-based edge platforms, Vultr for GPU-as-a-Service, and collaborations with Google Cloud for network maintenance and Meta for network infrastructure enhancement.
Verizon Business ha svelato Verizon AI Connect, una suite completa di soluzioni progettate per supportare i carichi di lavoro dell'IA su larga scala. La strategia affronta la crescente domanda di capacità di rete e potenza computazionale, con particolare attenzione all'elaborazione delle inferenze in tempo reale, che McKinsey prevede rappresenterà il 60-70% dei carichi di lavoro dell'IA entro il 2030.
L'azienda sta sfruttando la propria infrastruttura esistente, inclusi reti 5G, connettività in fibra e capacità di edge computing. Google Cloud e Meta stanno già utilizzando questa capacità aggiuntiva per i loro carichi di lavoro IA. Verizon sta espandendo il proprio ecosistema IA attraverso partnership strategiche con NVIDIA per piattaforme edge basate su GPU, Vultr per GPU-as-a-Service e collaborazioni con Google Cloud per la manutenzione della rete e Meta per il miglioramento dell'infrastruttura di rete.
Verizon Business ha presentado Verizon AI Connect, una suite completa de soluciones diseñadas para soportar cargas de trabajo de IA a gran escala. La estrategia aborda la creciente demanda de capacidad de red y potencia computacional, enfocándose especialmente en el procesamiento de inferencias en tiempo real, que McKinsey proyecta representará del 60-70% de las cargas de trabajo de IA para 2030.
La empresa está aprovechando su infraestructura existente, incluidas las redes 5G, la conectividad de fibra y las capacidades de computación en el borde. Google Cloud y Meta ya están utilizando esta capacidad adicional para sus cargas de trabajo de IA. Verizon está expandiendo su ecosistema de IA a través de asociaciones estratégicas con NVIDIA para plataformas en el borde basadas en GPU, Vultr para GPU-as-a-Service, y colaboraciones con Google Cloud para el mantenimiento de la red y Meta para la mejora de la infraestructura de red.
버라이존 비즈니스는 버라이존 AI 커넥트를 공개했습니다. 이는 대규모 AI 작업을 지원하기 위해 설계된 종합 솔루션 모음입니다. 이 전략은 네트워크 용량과 계산 능력에 대한 증가하는 수요를 다루며, 특히 맥킨지가 2030년까지 AI 작업의 60-70%를 차지할 것으로 예상하는 실시간 추론 처리에 중점을 두고 있습니다.
회사는 5G 네트워크, 섬유 연결 및 엣지 컴퓨팅 기능을 포함한 기존 인프라를 활용하고 있습니다. 구글 클라우드와 메타는 이미 AI 작업을 위한 이 추가 용량을 활용하고 있습니다. 버라이존은 NVIDIA와 GPU 기반 엣지 플랫폼을 위한 전략적 파트너십, Vultr와 GPU-as-a-Service, 그리고 구글 클라우드와의 네트워크 유지 관리 및 메타와의 네트워크 인프라 개선을 위한 협력을 통해 AI 생태계를 확장하고 있습니다.
Verizon Business a dévoilé Verizon AI Connect, une suite complète de solutions conçues pour soutenir les charges de travail AI à grande échelle. La stratégie répond à la demande croissante de capacité réseau et de puissance de calcul, en se concentrant particulièrement sur le traitement des inférences en temps réel, que McKinsey prévoit de représenter 60-70% des charges de travail AI d'ici 2030.
L'entreprise exploite son infrastructure existante, y compris les réseaux 5G, la connectivité par fibre et les capacités de edge computing. Google Cloud et Meta utilisent déjà cette capacité supplémentaire pour leurs charges de travail AI. Verizon étend son écosystème AI grâce à des partenariats stratégiques avec NVIDIA pour des plateformes edge basées sur GPU, Vultr pour GPU-as-a-Service, et des collaborations avec Google Cloud pour la maintenance du réseau et Meta pour l'amélioration de l'infrastructure réseau.
Verizon Business hat Verizon AI Connect vorgestellt, eine umfassende Suite von Lösungen, die entwickelt wurden, um KI-Workloads in großem Maßstab zu unterstützen. Die Strategie adressiert die wachsende Nachfrage nach Netzwerk-Kapazität und Rechenleistung, insbesondere mit dem Fokus auf Echtzeitinferenzverarbeitung, die McKinsey bis 2030 voraussagt, dass sie 60-70% der KI-Workloads ausmachen wird.
Das Unternehmen nutzt seine bestehende Infrastruktur, einschließlich 5G-Netzen, Glasfaserverbindungen und Edge-Computing-Funktionen. Google Cloud und Meta nutzen bereits diese zusätzliche Kapazität für ihre KI-Workloads. Verizon erweitert sein KI-Ökosystem durch strategische Partnerschaften mit NVIDIA für GPU-basierte Edge-Plattformen, Vultr für GPU-as-a-Service und durch Kooperationen mit Google Cloud für die Netzwerkwartung und Meta zur Verbesserung der Netzwerkinfrastruktur.
- Early adoption by major tech companies (Google Cloud and Meta) validates the solution
- Strategic partnerships with NVIDIA, Vultr, and Google Cloud strengthen AI capabilities
- Leveraging existing infrastructure reduces capital expenditure requirements
- Positioned to capture growing AI infrastructure market demand
- Significant investment required to scale AI infrastructure
- Faces intense competition in the AI infrastructure space
- High dependency on partnerships for success
Insights
Verizon's AI Connect strategy marks a pivotal transformation of its core infrastructure business into an AI-enablement powerhouse. The company is strategically positioning its extensive network assets - including 5G, fiber connectivity and edge computing facilities - to capture the growing demand for AI inference computing, which requires low-latency, high-bandwidth connections.
The partnership ecosystem Verizon has assembled is particularly noteworthy. The collaboration with NVIDIA for GPU-based edge platforms integration with 5G private networks creates a unique value proposition for enterprise customers. The Vultr partnership addresses the critical GPU-as-a-Service component, while relationships with Google Cloud and Meta provide immediate validation and revenue opportunities.
What sets this initiative apart is Verizon's ability to offer a comprehensive solution that combines:
- Distributed edge computing capabilities that reduce latency for AI inferencing
- Extensive fiber network infrastructure supporting high-bandwidth data transfer
- 5G network coverage providing mobility and flexibility
- Established relationships with major tech players and enterprises
This positions Verizon to capture a significant share of the AI infrastructure market, particularly as companies move beyond training to deployment and inference at scale. The company's existing relationships with Fortune 500 companies provide a ready customer base for these services, while partnerships with tech giants ensure access to cutting-edge AI capabilities and workloads.
This strategic initiative represents a masterful pivot by Verizon to monetize its existing infrastructure investments in a high-growth market. By focusing on AI workload management, particularly inferencing, Verizon is positioning itself at the intersection of two critical trends: the exponential growth in AI deployment and the increasing need for edge computing capabilities.
The business model is particularly compelling because it:
- Leverages existing infrastructure investments, improving return on invested capital
- Creates new revenue streams from high-margin enterprise services
- Establishes Verizon as a critical infrastructure provider for AI deployment
- Builds strategic relationships with key technology partners
The early adoption by Google Cloud and Meta provides immediate revenue opportunities and validates the strategy. With
What you need to know:
- Verizon introduces an expanded AI strategy built for hyperscalers, cloud providers and global enterprises.
- Verizon AI Connect is a strategy and suite of products and solutions designed to manage AI resource-intensive workloads at scale.
- Google Cloud and Meta are among early adopters of Verizon solutions.
NEW YORK, Jan. 24, 2025 (GLOBE NEWSWIRE) -- Fueled by the unprecedented demand for network capacity and computational power, Verizon Business today unveiled Verizon AI Connect, an integrated suite of solutions and products designed to enable businesses to deploy artificial intelligence (AI) workloads at scale.
While training current advanced AI models requires immense computing resources, the shift towards real-time decision-making - known as inferencing - is poised to drive massive demand for additional computing power. According to McKinsey, 60
To meet current and future demand from hyperscalers, cloud providers and global enterprises, Verizon is building on its strategy to power the AI ecosystem with reimagined existing assets integrated in Verizon’s intelligent and programmable network. From the macro 5G network and high-speed fiber connectivity to edge compute environments and space, power and cooling infrastructure, Verizon AI Connect is designed to deliver AI workloads as needed. Today, Google Cloud and Meta are already leveraging additional capacity to support their AI workloads.
“We are seeing significant demand for reliable network infrastructure that can support existing AI workloads,” said Kyle Malady, CEO, Verizon Business. “As the technology evolves, our industry leadership, best-in-class edge-to-cloud connectivity, programmable network and assets will enable us to meet these needs and accelerate innovation.”
Building the AI Ecosystem
In addition, Verizon is expanding its AI ecosystem through key partnerships and collaborations.
- NVIDIA. Verizon recently announced its work with NVIDIA to reimagine how GPU-based edge platforms can be integrated into Verizon’s 5G private networks.
- Vultr. Today, Verizon is sharing a new partnership with Vultr, a leading global GPU-as-a-Service (GPUaaS) and cloud computing provider.
- Google Cloud. Verizon and Google Cloud have also collaborated on advanced AI solutions for network maintenance and anomaly detection, showcasing the power of AI to optimize network performance and predict potential issues.
- Meta. Verizon and Meta have an existing strategic partnership across numerous products, technologies and business units. Verizon AI Connect will expand this partnership into network infrastructure, a differentiator for both companies in helping to build the AI ecosystem.
AI Ecosystem Customer & Partner Quotes
"Verizon provides a robust network infrastructure that can support demanding AI workloads," said Bikash Koley, VP, Google Global Networking and Infrastructure. "With Verizon's advanced network capabilities, we can accelerate the development and deployment of AI solutions. Verizon will benefit from these solutions by leveraging Google Cloud’s AI and data platform to transform its customer, employee and network experience.”
“As we continue to deliver critical infrastructure for our apps and technologies, we’re strengthening our network with AI and the future in mind. This means partnering with Verizon to build and operate networks that support our existing services, while accelerating more intelligent and predictive capabilities that will serve the people that use our products,” said Gaya Nagarajan, VP, Network Infrastructure at Meta.
“Telecom networks are uniquely positioned to provide a distributed AI infrastructure that meets enterprise needs,” said Ronnie Vasishta, Senior Vice President of Telecom, NVIDIA. “NVIDIA AI and accelerated computing, integrated with Verizon’s network, allows enterprises to easily adopt AI-powered services at scale.”
“GPUs play a crucial role in powering AI workloads, and rapidly growing demand for real-time inference is driving the need for AI infrastructure at the edge,” said J.J. Kardwell, CEO of Vultr. “With demand for data centers and GPU processing power outpacing supply, Verizon’s connectivity infrastructure is uniquely positioned to support our growth. Through Verizon AI Connect, we can extend our global cloud footprint and bring cutting-edge AI solutions to Verizon Business’ global customers.”
For more information on Verizon AI Connect, visit verizon.com/aiconnect.
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
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Media contact:
Sarah Heinz
347-931-6300
sarah.heinz@verizon.com
FAQ
What is Verizon AI Connect and how does it impact VZ's business strategy?
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