Artificial intelligence within Verizon's strategic plan unfolds, aiming to fulfill future AI requirements
In a significant move, Verizon is partnering with various tech giants to expand its AI ecosystem and transform its network, customer, employee, and network experiences. This collaboration includes Google Cloud, NVIDIA, Meta, Vultr, and others.
Ronnie Vasishta, the senior vice president of Telecom at NVIDIA, believes that telecom networks are uniquely positioned to provide a distributed AI infrastructure that meets enterprise needs. Bikash Koley, the vice president of global networking and infrastructure at Google, agrees, stating that Verizon's robust network infrastructure can support demanding AI workloads.
Verizon and NVIDIA are working together to reimagine how GPU-based edge platforms can be integrated into Verizon's 5G private networks. This partnership aims to provide enterprises with easy access to AI-powered services at scale, thanks to NVIDIA's AI and accelerated computing integrated with Verizon's network.
J.J. Kardwell, the CEO of Vultr, a global GPU-as-a-Service (GPUaaS) and cloud computing provider, emphasizes the crucial role GPUs play in powering AI workloads and meeting the rapidly growing demand for real-time inference. Verizon's connectivity infrastructure is uniquely positioned to support Vultr's growth, allowing them to extend their global cloud footprint and bring cutting-edge AI solutions to Verizon Business' global customers.
Verizon AI Connect, an integrated suite of solutions and products, is designed to meet the future demand for low-latency connectivity, compute, and security needed for real-time AI decision-making. It leverages Verizon’s advanced 5G private network and mobile edge computing (MEC) infrastructure to enable AI workloads to run closer to the data source, reducing latency and increasing responsiveness essential for time-sensitive AI applications.
Moreover, Verizon has partnered with Meta to build and operate networks that support its existing services and accelerate more intelligent and predictive capabilities. Google Cloud can also accelerate the development and deployment of AI solutions with Verizon's advanced network capabilities.
Gaya Nagarajan, the vice president of network infrastructure at Meta, and Bikash Koley, the vice president of global networking and infrastructure at Google, both stated that Verizon's network is being strengthened with AI and the future in mind. Verizon AI Connect plays a critical role in shaping the future infrastructure for AI-enabled services.
The orchestration layers on Verizon’s cloud platform facilitate the incorporation of new AI capabilities, allowing hyperscalers and enterprises to efficiently operate and innovate with AI at the edge. The shift towards real-time decision-making in AI is expected to drive demand for additional computing power, with 60-70% of AI workloads expected to shift to real-time inference by 2030. Already, Google Cloud and Meta are using additional capacity provided by Verizon to support their AI workloads.
In summary, Verizon AI Connect enables the combination of ultra-low latency 5G connectivity, edge compute resources, and robust security necessary to support the demanding, real-time AI workloads of hyperscalers, cloud providers, and large enterprises globally, thereby shaping the future infrastructure for AI-enabled services.
- The collaboration between Verizon and NVIDIA aims to provide enterprises with easy access to AI-powered services at scale, as NVIDIA's AI and accelerated computing are integrated with Verizon's network, positioning telecom networks as a distributed AI infrastructure that meets enterprise needs.
- Vultr's GPU-as-a-Service (GPUaaS) and cloud computing services could extend their global cloud footprint, thanks to Verizon's connectivity infrastructure, which is uniquely positioned to support Vultr's growth and bring cutting-edge AI solutions to Verizon Business' global customers.
