Overview

More than ever, the amount of data generated at the industrial edge is at its highest and continues to grow rapidly. With the explosion of smart sensors and IIoT devices, there is large-volume demand for a new type of industrialgrade hardware to accommodate a diverse set of requirements for work consolidation at the rugged edge. Numerous enterprises are investing in processing data-driven AI algorithms at the source of data generation rather than in a data center. Processing data remotely introduces latency and is unreliable in mission-critical applications. As a result, enterprises can gain a competitive advantage by gathering data and implementing AI/machine learning next to the data source. Edge AI enables enterprises to quickly analyze valuable insights while delivering more efficient and reliable operations, especially for latency-sensitive or mission-critical IIoT applications. In order to achieve this level of computing, hardware manufacturers need to overcome the harsh environmental challenges at the rugged edge, including with temperature, shock, vibration, limited space, and remote location. iCube addresses these challenges by introducing the latest fanless mini computer, the BCO-1000-EHL Series.