Data Center AI-VCK5000

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.

Specifications

• https://www.xilinx.com/products/boards-and-kits/vck5000.html#specifications

Related Documentation

• https://www.xilinx.com/content/dam/xilinx/support/documentation/white_papers/wp505-versal-acap.pdf
• https://www.xilinx.com/products/acceleration-solutions/vitis-ai-v1_4.html
• https://www.xilinx.com/products/technology/ai-engine.html