The Rise of Intelligent Edge Devices with AI Acceleration

The topic of AI is not new and each one of us is benefiting from AI every day, transforming many aspects of our lives. This trend is fueled by edge computing which is providing opportunities to move AI workloads from the Intelligent Cloud to the Intelligent Edge for improved response times and bandwidth savings. In combination with Digital Twins and IoT, there is a strong trend not only in manufacturing but also in other industries to leverage AI/ML analytics for getting better and faster insights for improved Predictive Maintenance and more. The benefit of edge deployments is especially strong when it comes to computer vision models that take large data streams like images or live video as input. With edge computing, these large data streams can now be processed locally at the device / client, eliminating the need for significant bandwidth or privacy concerns associated with streaming into a cloud data center. Edge video analytics systems can execute computer vision and deep-learning algorithms either directly integrated into the camera or with an attached edge computing system.