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 Telco News

NVIDIA Aerial AI-on-5G Computing Platform

NVIDIA AI-on-5G Computing Platform Adopted by Leading Service and Network Infrastructure Providers

Learn how the NVIDIA AI-on-5G computing platform enables enterprises to deliver new products and services for an Internet of Things economy.

Meet NVIDIA BlueField®-3
Image courtesy of Gamoola/The Original Content Company

Transforming Traditional Infrastructures with NVIDIA BlueField-3 DPUs

Meet NVIDIA BlueField®-3, the most powerful 400 Gb/s DPU for AI and accelerated computing that enables every enterprise to deliver applications, at any scale, with industry-leading performance and security.

Telecommunication Conference Session - GTC 2021

Is AI at the Edge the Killer App for 5G?

See industry leaders, from telcos to equipment vendors and cloud service providers, explore the interplay of AI, edge, and 5G networks in this executive panel discussion—one of more than 50 telco sessions at NVIDIA GTC.

Journey to Next-Generation Wireless Networks

  • Virtual RAN

  • Edge Platform

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 edge computing 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

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

Hear industry experts cover the challenges, strategies, potential solutions, and global case studies relating to the network upgrade to 5G.

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.