How 5G is Driving AI at the Edge

By Rambus Inc.

September 16, 2019

Introduction

The ongoing transition from 4G to 5G is driving major infrastructure upgrades that include the integration of AI and machine learning capabilities at the edge. This is due to several major factors, the most important of which is the relentless growth in the amount of the world’s digital data. According to a recent Forbes article, approximately 2.5 quintillion bytes of data are created each day. By 2020, DOMO estimates that for every person on earth, 1.7 MB of data will be created every second.

Beyond the incredible rate of global data growth, carriers see 5G as a lucrative opportunity to generate new revenue streams and bolster the average revenue per user (ARPU). Neural networks and machine learning will continue playing prominent roles in supporting a range of low-latency, bandwidth-intensive applications at the edge including augmented reality, virtual reality, the IoT and Industry 4.0. As such, companies like Nvidia, Google, Intel and ARM are all shipping AI-optimized edge computing platforms.

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