The Xilinx® VCK5000 Versal™ development card is built on the Xilinx 7nm Versal™ ACAP architecture and is designed for designs requiring high throughput AI inference and signal processing compute performance.
Delivering 100X greater compute power than today’s server-class CPUs and better MLPerf 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.
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.
|INT8 TOPs (peak)||145||145|
|Width||Dual Slot||Dual Slot|
|Off-chip Memory Capacity||16 GB||16 GB|
|Off-chip Total Bandwidth||102.4 GB/s||102.4 GB/s|
|Internal SRAM Capacity||23.9 MB||23.9 MB|
|Internal SRAM Total Bandwidth||23.5 TB/s||23.5 TB/s|
|PCI Express||Gen3 x 16 / Gen4 x 8||Gen3 x 16 / Gen4 x 8|
|Network Interfaces||2x QSFP28 (100GbE)||2x QSFP28 (100GbE)|
|Look-up Tables (LUTs)||899,840||899,840|
|Power and Thermal|
|Maximum Total Power||225W||225W|
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:latest
Step 3: Run 51 VCK5000 AI models, following the the instructions in the VCK5000 Versal Development Card Secure Site.
For any questions regarding VCK5000 getting started, please contact firstname.lastname@example.org.