NVIDIA AI-on-5G

Discover the unified platform designed to simplify deployment of AI applications over 5G edge networks.

High Bandwidth. Low Latency. Coverage Everywhere.

The nexus of 5G, the Internet of Things (IoT), and edge computing is turbocharging network performance. That’s why the world’s leading telecommunications companies are turning to NVIDIA technologies to build software-defined infrastructure that can meet the demand for increased memory and voluminous data processing and bring smart services to the edge.

Latest Telcom News

Metropolis Edge AI-on-5G Platform Now in General Availability

Metropolis Edge AI-on-5G Platform Delivers Intelligent Video Analytics over 5G

NVIDIA and Mavenir are delivering innovation in how intelligent edge networks are built. Enterprises can deploy AI and 5G together on a converged platform.

Delivering AI-on-5G for Enterprise

Delivering AI-on-5G for Enterprise

Get a closer look at how the NVIDIA AI-on-5G platform delivers an end-to-end, fully orchestrated integration of enterprise private 5G and AI applications on a single computing platform.

Digital Twins for 5G Network Deployment

Ericsson Builds Digital Twins for 5G Network Deployment

In NVIDIA Omniverse, Ericsson is building city-scale digital twins to help accurately simulate the interplay between 5G cells and the environment for maximum performance and coverage.

Journey to Next-Generation Wireless Networks

  • AI-on-5G

  • Virtual 5G RAN

  • Edge AI Platform

  • Accelerated Networking

Accelerating Edge AI over 5G

NVIDIA AI-on-5G is a unified platform that brings together developments in AI and 5G at the edge to accelerate the digital transformation of enterprises across all industries. 5G provides the underlying connectivity for billions of devices, extending the reach of AI algorithms and applications to all connected objects at the edge and enabling new use cases and new markets.

Enterprises, telecoms operators, and CSPs that deploy AI-on-5G will be able to handle both 5G and edge AI computing in a single, converged platform. This creates high-performance 5G RAN and AI applications to manage precision manufacturing robots, automated guided vehicles, drones, wireless cameras, self-checkout aisles, and hundreds of other transformational projects.

Increasing Agility with Virtual RAN

The growth of machine-to-machine data will spur a massive boom in data traffic, requiring network resources to be under smart control. NVIDIA Aerial enables a flexible and dynamic virtual radio access network (vRAN) environment by separating network functions from the underlying hardware. This simplifies the deployment of new features and algorithms and streamlines resource usage.

Telecom and computing are converging, enabling new types of applications we haven’t yet imagined. NVIDIA’s high performance computing platform allows new services to share the same computing fabric as the 5G RAN. Telcos can maximize their network investment and bring new services widely to the market.

-NVIDIA Debuts Aerial Software Development Kit to Help Telcos Create World’s First AI-Enabled Software-Defined 5G Networks, NVIDIA Blog

Intelligent Services at the Edge

Localizing compute processes close to end-users improves network transit latency, data storage, and processing, which drives the performance of intelligent applications. With the NVIDIA EGX platform, enterprises can securely deploy and manage AI workloads where real-time answers and decisions are happening, on the cloud or in the data center.

NVIDIA’s EGX ecosystem includes more than 100 technology companies worldwide, from startups to established software vendors, cloud service providers, and global server and device manufacturers.

-World’s Top Companies in Manufacturing, Retail and Telecom Adopt NVIDIA’s EGX Platform to Bring AI to the Edge, NVIDIA Blog

Accelerating Content, Services, and Application Delivery

NVIDIA networking telco solutions provide intelligent offloads and accelerators, driving maximum efficiency for 5G infrastructure network services applications, and maintain adherence to stringent RAN timing specifications.

Efficient Virtual Switching

NVIDIA Accelerated Switch and Packet Processing (ASAP2) offloads the virtual switch data plane to the SmartNIC or DPU, freeing precious CPU resources. Combining the performance and efficiency of server/storage networking hardware with the flexibility of virtual switching software provides software-defined networks with the highest total infrastructure efficiency, deployment flexibility, and operational simplicity.

Faster Packet Processing

Data Plane Development Kit or DPDK is a programming framework that provides faster packet processing and delivers increased performance and efficiency for applications requiring high-speed networking access. NVIDIA provides for an I/O packet performance breakthrough that eliminates the performance barrier associated with deploying Network Function Virtualization (NFV) solutions in both service provider networks and enterprise cloud deployments.

Network Traffic Synchronization

NVIDIA time-triggered transmission technology for telco, referred to as 5T for 5G technology, provides time synchronization to achieve timing accuracy for network traffic and is a real-time, high-performance solution for building an efficient, time-synchronized CloudRAN infrastructure.

Accelerated Services at the Edge

AR/VR Experiences

NVIDIA CloudXR is a hybrid edge computing architecture that renders high-quality AR/VR content at the edge and streams it over the 5G network using dynamic quality of service mechanisms. Delivery of immersive experiences for sports and entertainment, retail, education, and more represent a powerful new category of 5G services for telcos.

AR/VR Experiences
5G Gaming

5G Gaming

NVIDIA® GeForce NOW is a turnkey solution, bringing high-quality, AAA PC gaming to nearly any device. Powered by the GeForce® GPU architecture in the cloud, it connects consumers to their library of PC games from a variety of digital stores.

Smarter Cities Through AI

Businesses aren’t the only ones turning to accelerated AI at the edge. Cities such as Dubuque, Iowa, are creating safer road conditions and delivering faster emergency services. In Dubuque, dozens of connected cameras provide real-time analysis of traffic with the ability to detect dangerous drivers, obstacles blocking roadways, and people who may need emergency assistance.

Smarter Cities Through AI
Manufacturing Efficiency
Image courtesy of AWL-Techniek.

Manufacturing Efficiency

Accelerated edge computing and AI is transforming manufacturing into a safer, more efficient industry. BMW is putting inspection cameras on the factory floor, providing a 360-degree view of their assembly line. This creates real-time insights and a safer, more streamlined manufacturing process. Procter & Gamble is leveraging faster edge computing to assist employees during inspections. By analyzing thousands of hours of footage from inspection lines, the company can immediately flag imperfections, improving quality control and helping them to meet the highest safety standards. Warehouse productivity, efficiency, and accuracy of orders can also be improved, by deploying GPU-accelerated AI at the edge—in the warehouse itself.

NVIDIA Accelerates 5G

Powering AI Services at the Edge

NVIDIA GPUs make applications like cloud-based virtual reality (VR), smart cities, cloud gaming, 360-degree immersive video, connected drones, and autonomous vehicles possible. As demands on the telco industry grow, these applications will be able to take advantage of GPU computing power, without having to change software functionalities.

Telecom Giant Combines 5G, NVIDIA GPUs For HPC

Verizon is embedding NVIDIA GPUs throughout its network—at its mega data centers, at the hundreds of smaller ones that those feed, and at the thousands of smaller cell sites supported by those—to deliver the best capabilities in high-performance computing (HPC).

Top Telco Talks at GTC

See what’s next in telecommunications. Hear industry experts discuss advances in 5G network acceleration and security, and learn how innovators are harnessing the potential of AI-on-5G and edge applications to deliver new services.

Real-Time Ray Tracing Over 5G

Learn about the components necessary to creating a GPU-based edge platform, see real-world examples of computer vision and ray tracing on mobile devices, and discover how ray tracing using NVIDIA technology delivers photorealistic images over 5G.

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