Artificial Intelligence is now a big part of many businesses, and helps them stay ahead of the competition. Seeing this pattern, Verizon and NVIDIA have partnered together to help them run AI applications on private 5G networks.
You can expect to use them for robotics, virtual reality, and smart cameras with low delay, high speed, and better security. The system is easy to set up, can be customized for different needs, and can grow with the business. We should start seeing the new technology in early 2025.
More secure 5G network across many industries
Verizon and NVIDIA’s new AI-powered private 5G platform stack is a ready-to-use system that makes it easier for developers to create and run AI applications quickly. It’s designed to handle both current and future AI and connectivity needs. Its selling point is that it has a Plug-n-Play model, allows multi-tenancy, and can adapt to fit the specific needs of different businesses.
You may also use it with a portable 5G network or set up permanently on-site. More importantly, it’s built for demanding tasks, including generative models, video streaming, Augmented, Virtual, and Extended Reality (AR/VR/XR), and many more.
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 fueling the future growth of businesses worldwide.
Srini Kalapala, Senior Vice President of Technology at Verizon.
Here’s an example of how it would play out. A hospital can quickly set up such systems for patient diagnostics. AI can analyze medical images in X-rays or MRIs in real time to help doctors detect issues.
The platform also supports multiple departments running the applications at the same time. The radiology department could do imaging analysis, while the emergency department tracks patients and resource availability, all operating on the same private 5G network.
If the hospital needs to add autonomous delivery robots to transport medicine and supplies, the system can scale and adapt to support this new application. Additionally, if the hospital decides to use augmented reality tools for surgical procedures, they can later customize the system to handle these specific tasks.
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Real-time processing and scalability
Verizon says that the benefits of its collaboration with Nvidia is nothing short of a low-latency network. In industries like healthcare, finance, or e-commerce, you don’t want to be dealing with delays. Even the slightest lag could jeopardize someone’s life or cost you money.
Since the system’s model is scalable, businesses can easily adjust to increasing demands without overhauling their infrastructure. As you get more customers, you can expand it to handle them and their needs. Finally, with AI processing done on-site and in real-time, data doesn’t need to travel far. It’s great when you’re monitoring sensitive data.
