AutomatedBuildings.com Article: What Is Edge Computing?

Edge computing is the movement of decentralized intelligence that reduces core computing environmental needs, reduces volumes of data that has to be moved and brings machine learning to the edge. While most implementations that we see today are around power intensive and process intensive IoT gateways; the inventor of LoRa, Nicolas Sornin has a different perspective. Nicolas believes that the future of edge computing lies in low power consuming AI hardware.
RISC-V is one of the most promising forefronts of for edge computing in IoT. As we move forward, you will see exactly how RISC-V can potentially do that. Edge computing for IoT is expected to have a huge impact on how large-scale sensor networks of the future will be designed and managed.
As we move towards decentralized and democratized processing for our business and consumer needs, we find most edge solutions being tested to the limits of engineering and creativity. Given the wide usage and industry-focused nature of edge computing, while a solution might just work fine in one of the areas, it may or may not work well at all in hundreds of other similar use cases. That’s why we need the ability to modify and customize what we already have. RISC-V is one of the biggest open source movements in the hardware world, and Edge computing can certainly benefit to a huge extent from it.
 
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