# How-to (quickly) get started with PYNQ-DPU and Vitis AI

**URL:** <https://discuss.pynq.io/t/how-to-quickly-get-started-with-pynq-dpu-and-vitis-ai/1260>\
**Category:** Community corner\
**Created:** [May 13, 2020, 2:35am UTC](https://discuss.pynq.io/t/how-to-quickly-get-started-with-pynq-dpu-and-vitis-ai/1260 "2020-05-13T02:35:41Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![pynqzen](https://sea1.discourse-cdn.com/flex019/user_avatar/discuss.pynq.io/pynqzen/32/97_2.png) [@pynqzen](https://discuss.pynq.io/u/pynqzen)\
**Post date:** [May 13, 2020, 2:35am UTC](https://discuss.pynq.io/t/how-to-quickly-get-started-with-pynq-dpu-and-vitis-ai/1260/1 "2020-05-13T02:35:41Z")

</div>

This is for all versions of Ultra96, ZCU111 and ZCU104 and potentially your own custom PYNQ board with some additional work. PYNQ-DPU is not yet for Z1/Z2 but Z1/Z2 users are welcome to read anyways:

> **[Easy AI with Python and PYNQ](https://www.hackster.io/wadulisi/easy-ai-with-python-and-pynq-dd4822)**
>
> Get Xilinx Vitis AI hardware accelerated inference up and running with minimal effort using Python and PYNQ! By Wadulisi.

---

<div class="post-metadata">

**Author:** ![maik123456789](https://sea1.discourse-cdn.com/flex019/user_avatar/discuss.pynq.io/maik123456789/32/1262_2.png) [@maik123456789](https://discuss.pynq.io/u/maik123456789)\
**Post date:** [September 22, 2020, 7:07am UTC](https://discuss.pynq.io/t/how-to-quickly-get-started-with-pynq-dpu-and-vitis-ai/1260/2 "2020-09-22T07:07:08Z")

</div>

DPU IP supported for Zynq-7000 devices, how can I do a yolo model?
