system on modules soms

Looking For System on Modules

Introduction

System on Modules (SOMs) are compact, ready-to-use processing modules designed to accelerate development and reduce time-to-market for embedded systems. These SOMs offer a range of capabilities for different applications, from industrial automation to advanced AI and machine learning. Each module comes with specific features to cater to various development needs, ensuring flexibility and performance for modern embedded systems.

system on modules soms

For Automotive, Industrial, Healthcare these industries

Automotive

NVIDIA Jetson AGX Orin:

  • Key Features: This SOM is designed for advanced autonomous machines and AI applications. It features an 8-core ARM Cortex-A78AE CPU, up to 2048 CUDA cores, and 64 Tensor cores, delivering up to 275 TOPS of AI performance. It supports multiple high-resolution cameras and sensors, which are crucial for autonomous vehicles and ADAS (Advanced Driver Assistance Systems).
  • Use Cases: Autonomous driving, in-car infotainment, driver monitoring systems, and intelligent transportation systems.

Industrial

Renesas RZ/G2E SOM:

  • Key Features: Features dual Arm Cortex-A53 cores with integrated power management and timing solutions, making it suitable for reliable and efficient industrial applications. It supports high-performance graphics and video processing.
  • Use Cases: Factory automation, industrial HMIs (Human-Machine Interfaces), and smart robotics

Healthcare

NXP i.MX 8M Mini SOM:

  • Key Features: This module is optimized for medical devices requiring high performance and energy efficiency. It features an Arm Cortex-A53 CPU and Cortex-M4 for real-time processing, with support for multimedia, connectivity, and security functions.
  • Use Cases: Portable medical devices, patient monitoring systems, and telemedicine solutions.

SOMs with NXP, Renesas, TI

NXP-Based SOMs

phyCORE-i.MX 8M Mini/Nano: Features the NXP i.MX 8M Mini Dual or Quad-Core Cortex-A53 at 1.8 GHz. It’s compact with dimensions of 40 x 37 mm, supporting up to 4 GB of LPDDR4 RAM and 128 GB eMMC

Renesas-Based SOMs

Renesas RZ/G2E: This module includes a dual-core Cortex-A53 CPU and a PowerVR GE8300 GPU. It’s optimized for industrial applications, offering robust support for various interfaces and long-term availability.

Texas Instruments-Based SOMs

BeagleBoard-X15: Powered by the TI AM5728 processor with dual Cortex-A15 cores, it is suitable for industrial applications requiring high performance and flexibility.

conclusion

The right System on Modules (SOMs) is crucial for optimizing performance and efficiency in automotive, industrial, and healthcare applications. NXP, Renesas, and Texas Instruments offer a variety of SOMs, each tailored to meet specific industry requirements.

SOM from Calixto System

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