In the era of Artificial Intelligence of Things (AIoT), Industrial PC (IPCs) is expected more than just a computer for general data processing. Faced with the increasing workload at the edge, end devices are required to be smart, automated, and interconnected, which reflects on the demands of AI computing and M2M (Machine-to-Machine) communication in small-sized PCs. The demand for AI computing emerged on the account of the decentralization trends in recent years to reduce cloud computing workloads and costs, and to reinforce AI performance at the edge, high-end embedded solutions is a must. But to downsize them and meanwhile support the conditions required by edge environments, like tight spaces and abrupt temperature changes, it's definitely a challenge for IPC manufactures. Computing decentralization also infused diversity and heterogeneity into AIoT framework that further stresses the importance of integration capability.