Xilinx Introduces Kria Portfolio of Adaptive System-on-Modules for Accelerating Innovation and AI Applications at the Edge

Xilinx, Inc. (NASDAQ: XLNX) today introduced the Kria portfolio of adaptive system-on-modules (SOMs), production-ready small form factor embedded boards that enable rapid deployment in edge-based applications. Coupled with a complete software stack and pre-built, production-grade accelerated applications, Kria adaptive SOMs are a new method of bringing adaptive computing to AI and software developers.

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Kria KV260 Vision AI Starter Kit (Photo: Business Wire)

The first product available in the Kria SOM portfolio, the Kria K26 SOM, specifically targets vision AI applications in smart cities and smart factories. The Xilinx SOM roadmap includes a full range of products, from cost-optimized SOMs for size and cost-constrained applications to higher performance modules that will offer developers more real-time compute capability per watt.

“Xilinx’s entrance into the burgeoning SOM market builds on our evolution beyond the chip-level business that began with our Alveo boards for the data center and continues with the introduction of complete board-level solutions for embedded systems,” said Kirk Saban, vice president, Product and Platform Marketing at Xilinx. “The Kria SOM portfolio expands our market reach into more edge applications and will make the power of adaptable hardware accessible to millions of software and AI developers.”

According to industry reports, the SOM market is growing at roughly 11 percent annually and total market revenue is expected to reach $2.3 billion by 2025¹.

Faster Time to Deployment

Kria SOMs harness the power, performance and flexibility advantages of Xilinx adaptable hardware, delivered as production-deployable, adaptive modules. Kria SOMs enable rapid deployment by providing an end-to-end board-level solution with a pre-built software stack. By allowing developers to start at a more evolved point in the design cycle compared to chip-down design, Kria SOMs can reduce time-to-deployment by up to nine months.

The Kria K26 SOM is built on top of the Zynq UltraScale+ MPSoC architecture, which features a quad-core Arm Cortex-A53 processor, more than 250 thousand logic cells, and a H.264/265 video codec. The SOM also features 4GB of DDR4 memory and 245 IOs, which allow it to adapt to virtually any sensor or interface. With 1.4 tera-ops of AI compute, the Kria K26 SOM enables developers to create vision AI applications offering more than 3X higher performance at lower latency and power compared to GPU-based SOMs, critical for smart vision applications like security, traffic and city cameras, retail analytics, machine vision, and vision guided robotics.