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.
|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|
Take a Vitis AI development training course (On-Demand, virtual, or classroom)
|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|
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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.
Joining the AMD Developer program gives you access to the resources necessary to build your applications successfully on all AMD platforms. Benefits of your membership include: Access to free training courses on AMD tools and platforms, opportunities to showcase your projects, and articles on the AMD Developer site, and much more!