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Sustainable edge intelligence - inference accelerator for the AI of tomorrow

April 7, 2022
AI - both training and the actual inference - could so far mainly be developed for data centres. This trend is currently changing with the emerging field of "Edge AI". When inference takes place directly on the camera, things get interesting.

How can such a high-power technology be used efficiently and sustainably outside of large data centres in the small resource-optimised embedded devices? There are already some working approaches and solutions to efficiently accelerate neural networks on edge devices. But only a few are flexible enough to keep pace with the rapidly advancing AI development. Discover what is made possible by solutions such as the all-in-one AI system IDS NXT.