The Edge of the Network is increasingly becoming the hub for data processing and analysis. However, to ensure the Edge intelligence and computing power is effective, it must be supported by safety, security, reliability, and resiliency.

Today’s evolving AI applications demand advanced performance, robust security, and flexible connectivity. These high-performance solutions must support space-saving designs in business-class, on-premises environments, and always keep efficiency and ruggedness in mind.

As AI workloads require intensive compute capability, the competition for designing and building fast and powerful processors, such as the Intel Core Ultra 7 and Intel Core Ultra 5 processors, is becoming intense.

Modern AI application demand is surging and evolving to have more power in less space - challenging the traditional system design.

The drive to move processing to the Edge, where data is collected, has been ongoing for decades, but the rise of AI tools has made intelligence at the Edge a mission-critical development path for any industrial enterprise.

The demand for modern, rugged computing solutions for industrial automation and machine vision applications is increasing. These advancing applications, deployed in robotics and factory environments, require robust performance, wide operating temperature ranges, reliable networking, flexible storage, and acceleration for AI workloads.

As industrial robotics rapidly grows ever smarter and more autonomous, these modern systems are evolving to have heavier reliance on advanced AI technologies.