The conventional legacy workstations present limitations when handling modern resource-intensive simulation and AI workload, which requires high computational power and performance.

The world of High-Performance Computing, or HPC, is all about power, efficiency, expandability, and flexibility. As AI applications become a regular part of any embedded system, whether at the edge or in the cloud, these attributes will become increasingly important.

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.