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Vitis AI
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A comprehensive development platform for machine learning, designed to offer the world-leading AI inference performance on Xilinx platforms, achieving up to 10x performance increase versus CPU/GPU solutions.

Vitis Unified Software Platform
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A design methodology and programming model that enables all developers, including software and algorithm engineers with no hardware design expertise, to leverage the power of Xilinx adaptive platforms for edge to cloud deployments.

Vivado
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A SoC-strength, IP-centric and system-centric, next-generation development environment that has been built from the ground up to address the productivity bottlenecks in system-level integration and implementation.

Adaptive Computing Challenge 2020

Check out the winning projects in our very first Adaptive Computing Challenge!

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Acceleration of Binary Neural Networks using Xilinx FPGA

Exploit Xilinx FPGA's hardware to train neuroevolved binary neural networks, then solve Reinforcement Learning problems (like Atari Games).

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Facemask Detector

FPGA-based system that monitors facemask use through artificial intelligence, includes a thermometer and facemask dispenser.

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Quad96

Quadcopter control and pole balancing using Deep Reinforcement Learning and Hand Gestures on Ultra96

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Xilinx Community Projects

Community featured projects. Join the Developer Program to see how you can be featured.

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Pneumonia and COVID-19 Detection from X-Ray Images using Vitis-AI and Deployed by IoT GreenGrass

A smart and scalable solution for Pneumonia and COVID-19 prediction system using Vitis-AI and AWS-IoT GreenGrass with Xilinx ZCU104 FPGA board as the Edge Device.

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