Verizon has announced its ‘5G Private Network with Enterprise AI’ solution, which enables AI-powered applications to leverage its 5G private network.
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The US telecom company has also added its private Mobile Edge Compute (MEC) with NVIDIA’s AI Enterprise software platform and NVIDIA NIM microservices to the offering.
Verizon states that the combination of these services can provide “powerful”, real-time AI services on-premises for its business customers.
Srini Kalapala, Senior Vice President of Technology and Product Development at Verizon, believes that its latest solution will help enterprises around the world to grow: “Generative AI, with its predictive capabilities, is poised to be a critical component of digital transformation and future business growth in almost all industries.
“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 fuelling the future growth of businesses worldwide.”
Kalapala continued: “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.”
Plug and Play
The 5G platform infrastructure was designed as a plug and play solution to make it easier for developers to rapidly innovate, while simplifying integrations with future iterations of AI computing or AI and connectivity apps.
It supports multi-tenancy and can render services remotely through portable private network solutions, or via customer premises which have their own private networks on site.
The stack can be utilised by “compute intensive” apps, such as large language models, vision language models, video streaming, computer vision (CV), broadcast management, AR, VR, XR, IoT, autonomous mobile robot (AMR), and automated guided vehicle (AGV).
Key Benefits
The biggest advantages offered by 5G Private Network with Enterprise AI include its ultra-low latency network for real-time AII processing, high bandwidth and reliability, improved security and control over data and applications, scalability and flexibility across different industries and use cases, and its AI processing at the edge with MEC.
Verizon pointed to a PwC study which found 75 percent of business executive viewed AI to be a business advantage and were already taking advantage of it or soon planning to do so.
Ronnie Vasishta, Senior Vice President of Telecom at NVIDIA, sees the solution’s AI capabilities as a game-changer when it comes to achieving business goals: “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.
“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.”
Verizon and NVIDIA expect the solution to be available for demos in February.
