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Xilinx

Vitis-AI

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

InfrastructureDeploy & ServeModel optimizationPython
Open on GitHub
Momentum
+1stars in 24 hours+0.1%
1.81k
Stars
675
Forks
+2
This week
36
Contributors
Created 2019-10-16 · Updated 2026-10-16 · #5307 today
Top developers
qianglin-xlnxandyluo7mahadurkarm

Xilinx/Vitis-AI is ranked 5,307 with 1,808 stars.

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Xilinx/Vitis-AI is ranked 5,307 among these 8 peers; 0xSero/turboquant is ranked 5,311.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryInfrastructure
SubcategoryDeploy & Serve, Model optimization
KeywordsCompiler, Inference optimization, Kernel
Stars1,808
Forks675
Contributors36
Created date2019-10-16
Updated date2026-10-16
Stars in 1 day1
Stars in 7 days2
Rank5,307
Previous rank18,619
Rank change13,312
7-day stars rank7,914
Previous 7-day stars rank9,659
7-day stars rank change1,745
Total stars rank6,918
Previous total stars rank6,915
Total stars rank change-3
CountryUSA
README summary

Vitis AI Adaptable & Real-Time AI Inference Acceleration AMD Vitis™ AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on AMD adaptable platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on AMD adaptable SoCs and Alveo

Data Center accelerator cards. Getting Started If your visit here is accidental, but you are enthusiastic to learn more about Vitis AI, please visit the Vitis AI homepage on Xilinx. Otherwise, if your visit is deliberate and you are ready to begin, why not **VIEW THE VITIS-AI DOCUMENTATION ON GITHUB. How to Download the Repository To get a local copy of Vitis AI, clone this repository to the local system with the following command: This command needs to be

executed only once to retrieve the latest version of Vitis AI. Optionally, configure git-lfs in order to reduce the local storage requirements. Repository Branching and Tagging Strategy To understand the branching and tagging strategy leveraged by this repository, please refer to this page Licenses Vitis AI License: Apache 2.

Frequently asked questions

How many stars and forks are recorded?

Xilinx/Vitis-AI has 1,808 stars and 675 forks.

What is the repository rank?

Xilinx/Vitis-AI is ranked 5,307.

What language and category are recorded?

Xilinx/Vitis-AI has 1,808 stars, uses Python and belongs to Infrastructure.

Which repository is closest in rank?

Xilinx/Vitis-AI is compared with 0xSero/turboquant, ranked 5,311 with 1,800 stars.

README

Vitis AI Adaptable & Real-Time AI Inference Acceleration

AMD Vitis™ AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on AMD adaptable platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on AMD adaptable SoCs and Alveo Data Center accelerator cards.

Getting Started

If your visit here is accidental, but you are enthusiastic to learn more about Vitis AI, please visit the Vitis AI homepage on Xilinx.com.

Otherwise, if your visit is deliberate and you are ready to begin, why not VIEW THE VITIS-AI DOCUMENTATION ON GITHUB.IO?

How to Download the Repository

To get a local copy of Vitis AI, clone this repository to the local system with the following command:

git clone https://github.com/Xilinx/Vitis-AI

This command needs to be executed only once to retrieve the latest version of Vitis AI.

Optionally, configure git-lfs in order to reduce the local storage requirements.

Repository Branching and Tagging Strategy

To understand the branching and tagging strategy leveraged by this repository, please refer to this page

Licenses

Vitis AI License: Apache 2.0 Third party: Components

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