Step 1: Download and install Vitis AI from Github
Step 2: Hardware platform setup
Embedded SoC: ZCU102/ZCU104/KV260 setup l VCK190 setup
Alveo: Alveo setup l VCK5000 setup
Develop accelerated applications with Vitis AI in the Cloud – No local software installations or upfront purchase of hardware platforms necessary (pay-as-you-go). Log in and get started right away.
In this webinar, go in-depth with the key components of Vitis AI and learn how to achieve adaptable and efficient AI inference on Xilinx hardware platforms.
Access free comprehensive Vitis AI training courses when you sign up for the Xilinx Developer Program
This tutorial series will help to get you the lay of the land working with the Vitis AI toolchain and machine learning on Xilinx devices.
Get technical resources for developers as well as code samples for Vitis AI
Vitis AI Product Documentation
Beginners Start Here
Introduction to Vitis AI
This tutorial puts into practice the concepts of FPGA acceleration of Machine Learning and illustrates how to quickly get started deploying both pre-optimized and customized ML models on Xilinx devices.
Vitis AI Custom Embedded Platform Creation
In this module, we will create a custom Vitis embedded platform for ZCU104. It will be capable to run Vitis acceleration applications including Vitis-AI applications. Of course, the general embedded software applications can also run on this platform.
Videos that are locked are for developer program members. It is free to sign up and you get access to exclusive content all throughout our developer site!
Demos and Samples are locked are for developer program members. It is free to sign up and you get access to exclusive content all throughout our developer site!
Name | Hardware Board | Tool | Download Link | Size | Checksum |
---|---|---|---|---|---|
Face recognition | ZCU102 / ZCU104 | Vitis AI 1.3 | face_recog_demo_v1.3.tar.gz | 10 MB | 64ecf87bb4c1c68e5013b52fd5b9053e |
ADAS multi-task | ZCU102 / ZCU104 | Vitis AI 1.3 | multi-task-adas-demo-v1.3.tar.gz | 240 MB | f80abb08c4fcac9f316eb7247b87e5f1 |
Versal ADAS Demo | VCK190 | Vitis AI 1.4 | versal-demo-6channels-adas-pose-update.tar.gz | 241 MB | eaf0d4bda907dcb655584014fd3d6a81 |
Name | Hardware Board | Tool | Download Link | Size | Checksum |
---|---|---|---|---|---|
Face recognition | ZCU102 / ZCU104 | Vitis AI 1.3 | face_recog_demo_src_v1.3.tar.gz | 3.79 MB | b1b58ee91480740b5932ac01d6849205 |
ADAS multi-task | ZCU102 / ZCU104 | Vitis AI 1.3 | multi-task-adas-demo-src-v1.3.tar.gz | 240.09 MB | 729c8b612d3743bbcd1e53fc8072087e |
Point cloud 3D detection | ZCU102 / ZCU104 | Vitis AI 1.3 | pp_3d_detect.tar.gz | 489.94 MB | b8aec0e844fd60703076f14fa3544987 |
Curated articles form industry experts for all things Vitis AI
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Take a Vitis AI Training Course (On-Demand, Virtual, or Classroom)
Access free Vitis AI training courses and accelerate your applications when you sign up for the Developer Program.
Video Title | Description |
---|---|
Introduction to the Vitis AI Development Environment | Describes the Vitis AI development environment, which consists of the Vitis AI development kit, for AI inference on Xilinx hardware platforms, including both edge devices and Alveo accelerator cards. |
Frameworks Supported by the Vitis AI Development Environment | Discusses the support for many common machine learning frameworks such as Caffe, TensorFlow, and Pytorch. |
Setting Up the Vitis AI Development Environment | Demonstrates the steps to set up a host machine for developing and running AI inference applications on cloud or embedded devices. |
Looking for additional on-demand training courses? As a member of the developer program, you also receive a 50% discount on select courses!
1. Log into https://lmstraining.xilinx.com with your Xilinx developer account
2. Search Developers Program in the search box to populate the discounted courses
3. Purchase and get started
Video Title | Description |
---|---|
Developing AI Inference Solutions with the Vitis AI Platform | This content provides embedded systems developers experience with creating an embedded Linux system targeting Xilinx SoCs using the PetaLinux tools.Updated 9.2020 |
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