Edge computing platforms benefit from compact and high performance computing capabilities, where devices placed in edge locations, industrial settings, and remote infrastructure environments have unimpeded access to real-time data processing, low latency, and space efficiency.

Cloud-to-edge development for real-time applications and compute-intensive tasks requires a suite of solutions encompassing modularity and scalability, high-performance capability, various I/O interfaces, as well as customization opportunities.

As all forms of manufacturing become ever more automated, and creep closer to zero-touch, dark factory floors with little or no human intervention needed, those industrial enterprises are going to need sophisticated compute able to handle machine learning, AI and command and control at the Intelligent Edge. Enter the ASMB-831.

Today’s manufacturing facilities are far smarter than those of just a few years ago. The reasons behind that are many:

Edge computing solutions are designed to bridge the gap between artificial intelligence (AI) and devices at the edge of the network, providing low latency, high-performance AI, real-time processing, security, privacy, and much more.

AMRs, or autonomous mobile robots, are becoming more common in the workplace. They can be a perfect fit for industrial and automation applications, given the right controller and software stack. On the hardware side, the system could include a host of sensors, including cameras, radar, lidar, etc. Then on the software side, you obviously need to link al those components together, and be sure you can communication both internally and externally.

Industrial Embedded Computers are critical to IoT, AI, Machine Learning and Edge Computing applications thanks to their optimized bandwidth, low latency, flexibility, scalability, and reliability, paired with advanced security and privacy capabilities.