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What's a SOM?

System-on-Modules (SOMs) are small embedded boards about the size of a credit card that include an SoC (such as a microprocessor, GPU, or FPGA), memory, power management, and other supporting circuitry.  SOMs abstract the hardware so developers can accelerate a streamlined design process at the board level instead of the chip level. 

AMD Kria™ KV260

Kria SOMs

A portfolio of SOMs designed for edge deployment, the Kria™ SOM lineup, featuring starter kits and production SOMs, simplifies system development and helps you get your product to market faster.

Preferred SOM Partners

Robust Ecosystem of SoC and FPGA based System-on-Modules

Alinx

Alinx is an innovative and successful FPGA/SoC focused company located in Shanghai, China. Offering an extensive portfolio of SOMs.

Avnet

For more than a century, Avnet has supported the biggest names in electronics for design, supply chain, logistics and more.

Enclustra

Enclustra is a dynamic, innovative and successful FPGA design services and solutions company located in Zürich, Switzerland.

iWave Global

iWave is a product design and engineering services company, offering an extensive portfolio of ARM & SoC-FPGA SOMs, SBCs, and ODM solutions.

Knowledge Resources

At Knowledge Resources GmbH we believe in using the right tool for the task at hand in order to obtain the best results for the least amount of cost. 

MYIR

MYIR is fully skilled to design, prototype, manufacturing, testing and technical support which will provide customers one-stop service to accelerate their time to market and save cost. 

Trenz Electronic

Trenz Electronic is particularly specialized in the design of high-speed data acquisition, high-accuracy measurement and embedded digital signal processing systems based on FPGA and CPU architectures.

AMD-preferred SOM partners augment Kria SOMs by offering a broad portfolio of boards for any need. Whether your design requires additional I/O, FPGA fabric, unique interfaces, or any sort of customization, these partners can help.

Adaptive Computing in Robotics

Demand for robotics is accelerating rapidly. Building a robot that is designed to be safe and secure and can operate alongside humans is difficult enough. But getting these technologies working together can be even more challenging. Complicating matters is the addition of machine learning and artificial intelligence, which is making it more difficult to keep up with computational demands. Read the eBook to learn more.