Verizon, Nvidia Team to Power AI Workloads on 5G Private Networks
It can handle compute intensive apps including autonomous mobile robot/automated guided vehicle and IoT, as well as generative AI large language models
Verizon and Nvidia announced they have developed a new platform the companies said represent the next phase in accelerating AI for enterprise customers.
The new 5G Private Network with Enterprise AI allows a large range of AI applications to run over Verizon’s 5G private network with private Mobile Edge Compute (MEC) and combines it with Nvidia’s AI enterprise software platform and Nvidia’s NIM microservices to “deliver powerful, real-time AI services on premises for enterprise customers.”
The AI-powered private 5G platform stack was designed to be plug-and-play and let businesses run large AI tasks on a secure, reliable private network right at their location. It offers fast speeds, high capacity and powerful computing, helping companies of all sizes achieve their goals more quickly with AI.
It can handle compute intensive apps including generative AI large language models and vision language models, computer vision, augmented, virtual and extended reality, autonomous mobile robot/automated guided vehicle and IoT, as well as video streaming and broadcast management.
“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.”
Srini Kalapala, senior vice president of technology and product development at Verizon, said 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,” Kalapala said. “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.”
Verizon engineers plan to begin demonstrations early next year.
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