Earlier this year, Xilinx (San Jose, Calif.) launched its Kria line of adaptive system-on-modules (SOMs) for a host of AI applications, including in factory and healthcare environments. In terms of the former, the SOMs target digital twin, predictive maintenance and defect detection applications.
SOMs, which are small embedded boards about the size of a credit card, enable the abstraction of hardware functionality. As a result, developers can design at the board level rather than the chip level. For hardware designers, SOMs promise to avoid rudimentary design work. SOMs also enable software developers to begin work in parallel with a hardware team.
Smart factory applications related to vision AI are a core focus area for the first product in the Xilinx SOM portfolio, the Kria K26 SOM.
As a result, factory owners deploying SOMs can get smart factory projects up and runni…