System-on-Module Technology Key IoT Enabler - High-Performance Computing Systems Packed into Compact Form Factors

System-on-Module (SoM) technology is gaining traction across various industries, driven by the demand for compact, integrated solutions that allow developers to add AI and connectivity options as demands evolve. Explore the factors fueling the SoM growth and the advantages these modules offer.

- Tom Murphy

In the era when inferencing is needed precisely where information is being collected and processed, it's important to remember that the latency of the cloud is the most important aspect of Artificial Intelligence that system designers want to remove from their system performance equations. How else could we bring massive amounts of computing performance closer to the action than with a system-on-module (SoM) technology? It can deliver multiple terra operations per second (TOPS) right where the application needs it most, according to the literature supporting many of the datasheets profiled here.

On the following pages, you will see SoMs from AAeon, Axiomtek, BeagleBoard, Nvidia, Toradex, Variscite, SolidRun, and even the latest Raspberry Pi CM5.

Processors steal the spotlight of many SoMs, and here, you'll find representatives from Intel, AMD, NXP, Broadcom, and Nvidia. If you see processor vendors here that aren't usually associated with PC platforms, they were most like likely selected for efficiency and longetivity.