The developer site provides you with the latest and most comprehensive Vitis™ AI development guidance, tutorials, reference designs, training courses, and additional technical resources to meet your development needs on AMD adaptive computing platforms.
The Vitis™ AI development tutorials bring users up to speed with in-depth AI inference processes, model deployment cases, reference designs, and more.
Demos and samples 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|
|CNN + RNN Demo||VCK190||Vitis AI 2.5||demo3_cnn_rnn.tar.gz||7.1 GB||70dd6d313c04372a1c7fcad81396e698|
|Point Cloud + Multi-task AI Perception||VCK190||Vitis AI 2.5||demo2_1mipi_1multitaskv3_1pointpillars.tar.gz||1.45 GB||b5411532cf937d02e4ad0dc76f426e64|
|4-channel MIPI Input AI Perception||VCK190||Vitis AI 2.5||demo1_4mipi.tar.gz||709.43 MB||da6574cf59b243ca514a3eb5f05240f4|
|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|
Curated articles form industry experts for all things about the Vitis AI Platform
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Take a Vitis AI development 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.
|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 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
|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|
Visit the Xilinx Customer Training Center for additional paid courses
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Share your work (Github repo, Hackster.io link etc) with us at email@example.com and every month we will select projects to be featured on our developer site. Projects will be judged on design features, performance, creativity, and originality.
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