What do the manufacturing, robotics, transportation, video, city safety, and security industries all have in common? They are searching for more efficiencies in the process of real-time object detection and dynamic tracking. The answer to that search could be discriminative AI for many companies.

Server-like features being available at the edge of an enterprise’s network seems like a pipe dream, but if it were achievable, many industries would benefit greatly. In healthcare, manufacturing & robotics, retail, video, smart cities, public safety, and security, in particular, such feature availability in a compact form factor could be transformative in some cases and mission-critical for others.

Companies struggle to process enormous and diverse data efficiently, often leading to delays and higher cost due to complex needs and limited AI computing power. This is increasingly obvious and problematic at the Edge, where the form factors can limit performance, storage, and battery.

There are many industries seeking to deploy real-time, rugged edge AI computing power, particularly those that require low latency and precise results. Manufacturing, robotics, machine vision, Smart City, and Safety and Security applications require edge processing solutions, and companies are beginning to make investments to meet these needs.

ASUS participated in embedded world North America 2025 where it highlighted its latest portfolio of AIoT, embedded systems, and edge computing products in collaboration with Intel. The solutions are engineered to accelerate change across industries and strengthen the two companies shared dedication to influencing the future of embedded technologies.

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.