This guide will help you get familiar with and start using the Xilinx VCK5000. Check out the Xilinx Adaptive Computing Challenge featuring this card!
VCK5000 is fully supported by Vitis™ AI development environment which consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on VCK5000. You can run Tensorflow, Pytorch, Caffe models using Python or C++ APIs in minutes without any prior hardware knowledge about FPGA
Delivering 100X greater compute power than today’s server-class CPUs and better ML perf inference performance than today’s server-class GPU, with standardized development flows, the VCK5000 is an ideal development platform for cloud acceleration and edge computing applications.Getting Started with VCK5000
- Step 1: Install VCK5000 in your X86 host machine following the Hardware Installation Guide in the VCK5000 Versal Development Card Secure Site.
- Step 2: Install Vitis AI 1.3.1 docker in your X86 host machine
docker pull xilinx/vitis-ai-cpu:latestFor more info about Vitis AI, please visit https://github.com/Xilinx/Vitis-AI
- Step 3: Run 51 VCK5000 AI models, following the the instructions in the VCK5000 Versal Development Card Secure Site.