Networking / Communications

5G CloudRAN and Edge AI End-to-End System Featuring NVIDIA Aerial SDK and EGX Platform

Jul 17, 2020
By Nefi Alarcon
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AI-Generated Summary
  • 5G CloudRAN uses a cloud-native architecture to support PHY layer processing for high-speed, low-bandwidth, software-defined network applications.
  • The Aerial SDK provides libraries and functions for L1 layer processing with LDPC optimization and other features.
  • O-RAN fronthaul combined with Aerial SDK PHY capabilities enables seamless packet flow from edge applications to COTS servers and back.
  • Software-defined implementation reduces time-consuming data transfers between network stack components, improving overall performance.
  • NVIDIA GPU acceleration solves complex computations faster in this end-to-end 5G CloudRAN demonstration.

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5G CloudRAN is the cloud-native architecture that supports PHY layer processing for high-speed, low bandwidth, software-defined network applications. 

The Aerial SDK provides libraries and functions to implement L1 layer processing with LDPC optimization and other features. With O-RAN fronthaul and Aerial SDK PHY capabilities, seamless packet flow can be achieved from edge application to COTS servers and vice versa. The software-defined implementation reduces time-consuming data transfers between components of the network stack improving overall performance.

This end-to-end demonstration shows the 5G CloudRAN on NVIDIA GPU for fast processing by solving complex computations in less time. 

To learn more about the demo, read this tutorial on the NVIDIA Developer Blog, Building an Accelerated 5G CloudRAN at the Edge.

Download the Aerial SDK here.

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Networking / Communications | Simulation / Modeling / Design | Telecommunications | Aerial | cloudRAN | Intermediate Technical | Announcement | 5G / 6G | featured | News

About the Authors

Nefi Alarcon
About Nefi Alarcon
Nefi Alarcon is a senior executive communications manager on NVIDIA's leadership team. He has years of media relations and communication experience, and has previously worked at Google, Mozilla, and CNN. He received his bachelor's degree in Journalism from George Washington University.

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