What is a System-on-Module (SOM)?

A System-on-Module (SOM) is a compact embedded board, roughly the size of a credit card, designed to function as a complete system. Each module includes a system on a chip (SoC) —which may include a microprocessor, GPU, or FPGA—along with memory and essential input/output (I/O) interfaces on a single production-ready printed circuit board (PCB). 

These modules deliver all the critical functionalities of a microcomputer and are designed for seamless integration into larger systems. As flexible core components, SOMs facilitate rapid development across various technological applications, from consumer electronics to industrial automation, making them vital in modern product design.

Key Features of System-on-Modules

• Modularity: SOMs offer modular designs that simplify prototyping and upgrades, significantly reducing development time and enhancing product adaptability.
• Compactness: Their compact form factor is ideal for embedding advanced computing power into space-constrained applications, maximizing efficiency without sacrificing performance.
• Performance: SOMs, like NVIDIA’s Jetson series, boast powerful processing capabilities, enabling them to handle complex computations and AI tasks efficiently.
• Connectivity Options: These modules support a broad range of connectivity options, including USB, Ethernet, and WiFi, facilitating seamless integration into diverse network environments and IoT systems.

Example of SOMs

The NVIDIA Jetson Orin modules are a standout example of System on Modules (SOMs) designed for advanced AI applications. These modules are built around the powerful NVIDIA Orin SoC, which integrates ARM Cortex CPUs and an NVIDIA Ampere architecture GPU, along with deep learning and vision accelerators. This powerful combination enables the Jetson Orin modules to handle multiple concurrent AI workloads, making them ideal for robotics, autonomous vehicles, and smart city applications. With a variety of models offering different levels of processing power and energy efficiency, the Jetson Orin series can be tailored to meet specific needs, ensuring both flexibility and high performance in demanding environments.

Applications of SOMs

Common applications of SOMs span advanced robotics, IoT devices, automotive systems, and industrial automation, where they enhance performance and efficiency. For example, in the realm of industrial automation, Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) can leverage the power of NVIDIA Jetson Orin modules embedded within industrial computers. These modules provide the necessary computational strength and AI capabilities to handle real-time navigation, obstacle detection, and complex path planning, greatly enhancing the operational efficiency and autonomy of these robots in dynamic industrial environments.
 

iCube's newest collection of Jetson Orin AI Edge Computers leverages the Jetson Orin architecture to introduce a fresh range of durable, fanless industrial AI computers for the edge. The JCO Series marks iCube's initial foray into ARM-based architecture, providing three scalable versions: the entry-level JCO-1000-ORN, the mid-range JCO-3000-ORN, and the high-performance JCO-6000-ORN, each designed for real-time AI computing in tough environments.