This workshop will help you learn about the Xilinx Kria™ System-on-Module (SOM) and Kria KV260 Vision AI Starter Kit. It will enable you to accelerate vision-based applications using the KV260 Starter Kit right out of the box without any installation or FPGA knowledge.
Xilinx Kria SoM is best suited for “edge based ML acceleration” as it have the UltraScale+ FPGA fabric (Programmable Logic-PL), ARM APU, RPU and video encoding/decoding (VCU) hard block. Kria SoM can fit the higher range of Xilinx Deep Learning Processing Unit (DPU) IP in the FPGA logic or Fabric. DPU can run or accelerate one or multiple CNN type of Neural Network (NN) inside it, NN accelerated inside DPU can give high performance interms of FPS , Throughput and Cost Per Stream (CPS).
Kria System on Module (SOM) Overview
Kria KV260 Vision AI Starter Kit Overview
Kria KV260 Quick Start Guide
Customizing the AI Models
Accelerating Applications with the KV260
Building the Hardware and Software Design Components
Introduction to Vitis Video Analytics SDK (VVAS)
* Seats are limited.
Registration is based on a first-come-first-served basis
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