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One-Stop Shop to Evaluate and Buy Alveo Cloud Solutions

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Community, Development, and Application Resources

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Congratulations to the Adaptive Computing Developer Contest Winners!

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Get Started with Vitis AI

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.

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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.

Get Started with Vivado

Get Started | Product Overview
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!

Acceleration of Binary Neural Networks using Xilinx FPGA

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).

Face Mask Detector

Face Mask Detector

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



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

Xilinx Community Projects

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


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.


ThunderGP: Fast Graph Processing for HLS-based FPGAs

ThunderGP enables data scientists to enjoy the performance of FPGA-based graph processing without compromising programmability


Vitis-AI 1.2 Flow for Avnet VITIS Platforms

This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.2 flow for Avnet Vitis 2020.1 platforms.


Developer Program

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Why Adaptive Computing

Historically, FPGAs were programmed in hardware description languages – not anymore! 

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Xilinx App Store

Xilinx App Store

Leverage the Xilinx App Store and get your solutions to the global marketplace.
Sign up for the Accelize distribution platform and become a seller.

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