Xilinx enters the market with the new Kria wallet


Xilinx, headquartered in California, has ventured into the growing system-on-module (SOM) market with the launch of its Kria portfolio. This announcement comes as the SOM market is growing steadily and its total market turnover is expected to reach $ 2.5 billion by 2026.

SOM is an electronic circuit that integrates the required system functions into a single module comprising a processor, memory, and I / O controller.

“The Kria SOM portfolio extends our market reach to more cutting-edge applications and will make the power of scalable hardware available to millions of software and artificial intelligence developers,” said Kirk Saban, vice president, Marketing product and platform at Xilinx. The company plans to expand further to the family of reconfigurable FPGA-based single-board computers coupled with Arm Core CPU engines.

With the launch of Kria K26 SOM, the company hopes to accelerate the use of AI, machine learning, and vision at the edge. Xilinx also released the KV260 Vision AI Starter Kit, which provides an easy-to-use development platform for designing vision applications.

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The K26 SOM is based on Zynq’s UltraScale + MPSoC architecture, which includes a quad-core ARM Cortex A53 processor, over 250,000 logic cells, and an H.264 / 265 video codec. The SOM also features 4 GB of DDR4 memory and of 245 I / O paths, which allows it to adapt to almost any sensor or interface. Compared to GPU-based SOMs, it allows developers to build artificial intelligence applications with more than three times the performance at lower latency and power.

According to the company, the Kria SOMs utilize the power, performance and flexibility of Xilinx adaptable hardware, which is delivered as adaptive modules that can be deployed in production. It offers end-to-end solutions at the board level and a predefined software stack. Developers are ahead of the game as Kria’s SOMs reduce the time to deployment by up to nine months.

Kria’s SOM portfolio combines the hardware and software platform with production-ready accelerated vision applications that eliminate the need to design FPGA hardware from scratch. Software developers would only have to integrate custom AI models and application code to modify the vision pipeline. K26 offers design platforms such as TensorFlow, Pytorch or Caffe frameworks, C, C ++, OpenCL â„¢ and Python programming languages, enabled by the Vitis â„¢ unified software development platform and libraries.

Embedded developers can now customize and optimize the standard PetaLinux based on Yocto. For the first time, Xilinx will also offer support for Ubuntu Linux for interoperability with existing applications.

With Kria K26 SOM, Xilinx also made another major announcement: the availability of the Kria KV260 Vision AI Starter Kit. Customers can use the Kria KV260 Vision AI Starter Kit to test their target applications and possibly build their own support board using the Xilinx K26 SOMs. Smart city and machine vision, surveillance cameras, retail analytics and other industrial applications are among the applications of the Kria KV260 Vision AI starter kit.

Kria KV260 Vision AI Starter Kit (Credit: Xilinx)

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Xilinx also announced an integrated application store for edge applications that offers customers a selection of Kria SOM from Xilinx and other partners.

It offers accelerated open source applications from facial recognition to natural language processing.

Growing SOM market

SOMs offer high performance, low power requirements and good connectivity. These features make them ideal for mobile devices, smart homes, and other IoT devices.

In addition, the faster development of the automotive industry is also expected to stimulate demand for SOM. Other factors accelerating the demand for SOM include the need for uninterrupted communication and wireless connectivity.

According to Global Market Insights 2020 report, the industrial automation applications segment held the gigantic market share of SOM at 45% in 2019. It is expected to increase by 12% CAGR until 2026, thanks to the development of industrial robots in the manufacturing sector. It is followed by industries such as medicine, entertainment, transportation, testing and measurement.


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Kumar Gandharv

Kumar Gandharv

Kumar Gandharv, DPI in English Journalism (IIMC, Delhi), is embarking on a journey as a technical journalist at AIM. A keen observer of national and IR-related news. He loves going to the gym. Contact: [email protected]


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