Building the future with software-based 5G networking
Summary
For example, in industrial settings where there’s more analysis happening at the edge, having greater observability into the network is allowing for fine timescale responses to mechanical errors and broken equipment. Laurel: And AI inference is that ability to use computer vision to scan, say, cars coming off the factory floor, parts or pieces, and to see what could be incorrect with them right then and there to fix that problem. My guess is that we will, in fact Im very convinced of this, look back in five or six years’ time, well see that there has been a change in the way that the cloud data centers are moved, such that the IPU is the coordinator of traffic that comes in from the outside, determines which CPU or accelerator or memory that it goes to. And so, its almost like a coordinating device as well to make sure the communication takes place in a secure way, but also extremely fast and with low latency so that it doesnt negatively impact the performance of the cloud. In that particular case, its able to exploit the reliable high data rate of 5G, and then IoT inference applications that are running on the sensors and the actuators for that device in order to understand where it is to make sure that its safe as it moves around.