Coupled with a complete software stack and pre-built, production-grade accelerated applications, Kria adaptive SOMs are being described as a new method of bringing adaptive computing to AI and software developers.
The first product available in the Kria SOM portfolio, the Kria K26 SOM, targets vision AI applications in smart cities and smart factories. The Xilinx SOM roadmap includes a full range of products, from cost-optimised 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 centre and continues with the introduction of complete board-level solutions for embedded systems,” explained 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 2025.
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, they 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 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.
Xilinx has invested heavily in its tool flows to make adaptive computing more accessible and the Kria SOM portfolio takes this further by coupling the hardware and software platform with production-ready vision accelerated applications.
These turnkey applications eliminate all the FPGA hardware design work and only require software developers to integrate their custom AI models, application code, and optionally modify the vision pipeline – using familiar design environments enabled by the Vitis unified software development platform and libraries.
In addition to this launch, Xilinx has also announced the first embedded app store for edge applications. The Xilinx App Store is now able to offer customers a wide selection of apps for Kria SOMs from Xilinx and its ecosystem partners.
Available from the store is the Kria KV260 Vision AI Starter Kit which provides an inexpensive and easy-to-use development platform for designing vision applications, right out of the box. The kit is purpose-built to support accelerated vision applications and will enable developers to get 'up and running' in less than an hour with no knowledge of FPGAs or FPGA tools.