Edge AI hardware is a type of hardware that is used to process data and run AI algorithms at the edge of a network, rather than in the cloud or a data center. Edge AI hardware is designed to be low-power, low-cost, and low-latency, allowing for real-time AI applications. It is often used in applications such as autonomous vehicles, robotics, and industrial automation. Edge AI hardware can be divided into two categories: embedded systems and accelerators. Embedded systems are designed to run AI algorithms on the device itself, while accelerators are designed to offload AI processing to a dedicated processor. Some companies in the Edge AI hardware market include Intel, NVIDIA, Qualcomm, Xilinx, and Google. Show Less Read more
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