According to SUSE CTO Brent Schroeder, edge technology has finally crossed a crucial threshold due to AI and inferencing capabilities. This development means edge devices can now handle useful workloads rather than merely collecting data. Schroeder cites the Raspberry Pi and small operating systems as key factors contributing to this evolution. SUSE has championed container technology, having shifted from OpenStack to Kubernetes, which allows for efficient, lightweight applications that can be easily updated. The company's expertise extends to various applications, including remote systems like satellites and ATMs.
The teetering point was Raspberry Pi, Arm, and small footprint operating systems. The ability to add inferencing and AI to it really brings it over the edge.
This perfect convergence of Kubernetes and cloud-native in containers allows very small footprint, efficient applications that can be updated in an ephemeral, stateless manner.
I could do rudimentary processing at the edge, but I couldn't really make decisions at the edge in real time. Now, with inferencing at the edge, I can make decisions there in microseconds.
While SUSE shifted towards Kubernetes and container technology, the decision seemed inevitable as the industry trends pointed towards a greater reliance on these modern architectures.
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