# DPU-PYNQ v2.5.0 release -- now on 20+ boards

**URL:** <https://discuss.pynq.io/t/dpu-pynq-v2-5-0-release-now-on-20-boards/4845>\
**Category:** Announcements\
**Created:** [October 26, 2022, 3:37pm UTC](https://discuss.pynq.io/t/dpu-pynq-v2-5-0-release-now-on-20-boards/4845 "2022-10-26T15:37:14Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![skalade](https://sea1.discourse-cdn.com/flex019/user_avatar/discuss.pynq.io/skalade/32/686_2.png) [@skalade](https://discuss.pynq.io/u/skalade)\
**Post date:** [October 26, 2022, 3:37pm UTC](https://discuss.pynq.io/t/dpu-pynq-v2-5-0-release-now-on-20-boards/4845/1 "2022-10-26T15:37:14Z")

</div>

![grayscale_boards](https://us1.discourse-cdn.com/flex019/uploads/pynq1/original/2X/3/352b05c058327726b2e71fdf5466989d949b8c42.png)

## Dear PYNQ users,

​  
DPU-PYNQ now officially supports overlays on 21 boards – which is the most platforms we have seen a design supported on! Additionally, this iteration of DPU-PYNQ supports Vitis AI 2.5.

> **[GitHub - Xilinx/DPU-PYNQ at v2.5.0](https://github.com/Xilinx/DPU-PYNQ/tree/v2.5.0)**
>
> v2.5.0

This release is compatible with:

- Vitis AI 2.5
- Vitis / Vivado 2022.1
- PYNQ v3.0 image

You will notice that some of the overlays have been unverified yet, but since we have the capability of producing a great deal of platforms we decided to share them anyway.

If you are in possession of one of the boards in the unverified overlay list, that has a PYNQ image running on it, you can verify DPU-PYNQ by simply typing in `python3 -m pytest --pyargs pynq_dpu` after installing DPU-PYNQ on your device. If the tests pass on your board, feel free to let us know that DPU-PYNQ is verified on that board by amending the [board support table](https://github.com/Xilinx/DPU-PYNQ#board-support) via a pull request.

| Platform | DPU Architecture | Number of cores | Verified |
| --- | --- | --- | --- |
| KR260 SOM | B4096 | 1 | Yes |
| KV260 SOM | B4096 | 1 | Yes |
| Pynq-ZU | B4096 | 1 | Yes |
| RFSoC2x2 | B4096 | 2 | Yes |
| RFSoC4x2 | B4096 | 2 | Yes |
| Ultra96v2 | B1600 | 1 | Yes |
| ZCU104 | B4096 | 2 | Yes |
| ZCU111 | B4096 | 2 | Yes |
| ZCU208 | B4096 | 2 | Yes |
| Genesys ZU-5EV | B4096 | 1 | |
| T1 Telco RFSoC | B4096 | 2 | |
| T1 Telco MPSoc | B4096 | 2 | |
| TySOM-3A-ZU19EG | B4096 | 2 | |
| TySOM-3-ZU7EV | B4096 | 2 | |
| Ultra96v1 | B1600 | 1 | |
| UltraZed-EG | B4096 | 1 | |
| ZCU102 | B4096 | 2 | |
| ZCU106 | B4096 | 2 | |
| ZCU1285 | B4096 | 2 | |
| ZCU216 | B4096 | 2 | |
| ZUBoard-1CG | B800 | 1 | |

Some additional notes:

1. Most of the supported overlays ship with a B4096 DPU architecture, compatible with the Vitis AI model zoo. This means you can download the .xmodel files from the official Vitis AI repository and use them with DPU-PYNQ overlays.
2. For other DPU configurations (e.g. Ultra96v1, Ultra96v2 and ZUBoard-1CG), we have provided custom arch.json files and user-friendly scripts for compiling models from the Vitis AI model zoo.
3. The compile.sh script has been replaced with a python-based alternative called compile.py. It serves the same function, but is slightly more user friendly and expandable.
4. Thanks to a pull request by one of our community members @haipnh, we now ship with an additional notebook showcasing the yolo\_v3 model for object detection.

We always appreciate your engagement and continued contributions. Please use the PYNQ discussion forum to discuss and report any issue.

Thanks,

PYNQ team