Summary
AI-enabled applications are increasingly being deployed at the edge.
Xilinx Kria System-on-Modules (SOMs) provide a secure and production-ready multi-core Arm processing and FPGA platform including memories, power management, and your choice of a Yocto or Ubuntu Linux infrastructure to build accelerated AI-enabled applications at the edge.
Smart vision applications across cities, factories, and hospitals require a large amount of processing to be performed with low latency, low power consumption and in a small footprint, which Kria SOMs facilitate.
Furthermore, Kria SOMs feature a radical new way to design with Xilinx: Accelerated Applications via the Xilinx App Store.
Kria Accelerated Apps offer an industry-first shortcut that enable both new and experienced Xilinx designers to skip doing any sort of FPGA design, either through
traditional or modern means, if they choose.
Accelerated Apps are easily downloaded to connected Kria SOMs and give the SOM the personality of a purpose-built Smart Camera, AI Box, or other Vision AI system, on demand.
These Apps are fully accelerated, from the image acquisition to the pre-processing pipeline to the AI inference to the post-processing and encoding/network connectivity, offering the highest performance for industrial use cases and environments.
Accelerated Apps are designed by Xilinx and ecosystem partners and range from license plate recognition, retail shopper re-identification, HDR image signal processing, natural language processing and expanding to many more over time.
Learn about how Kria SOMs enhance productivity and
performance, while reducing cost and overhead for both Vision AI and other embedded systems, regardless of your experience-level with Xilinx.
Presentation will be followed by a Q&A session.
