# Kria-PYNQ v3.0 release -- now with KR260 support

**URL:** <https://discuss.pynq.io/t/kria-pynq-v3-0-release-now-with-kr260-support/4865>\
**Category:** Announcements\
**Created:** [October 31, 2022, 3:06pm UTC](https://discuss.pynq.io/t/kria-pynq-v3-0-release-now-with-kr260-support/4865 "2022-10-31T15:06:13Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![stf](https://sea1.discourse-cdn.com/flex019/user_avatar/discuss.pynq.io/stf/32/2724_2.png) [@stf](https://discuss.pynq.io/u/stf)\
**Post date:** [October 31, 2022, 3:06pm UTC](https://discuss.pynq.io/t/kria-pynq-v3-0-release-now-with-kr260-support/4865/1 "2022-10-31T15:06:13Z")

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![kria_v3.0_announcement](https://us1.discourse-cdn.com/flex019/uploads/pynq1/original/2X/6/6937326e77e4b1a9152cbd4bb7a559611cbdfd1c.png)

## Dear PYNQ users,

Kria-PYNQ now officially supports the KR260 Robotics Stater Kit, the latest Ubuntu 22.04 release, and PYNQ v3.0.

> **[GitHub - Xilinx/Kria-PYNQ: PYNQ support and examples for Kria SOMs](https://github.com/Xilinx/Kria-PYNQ)**
>
> PYNQ support and examples for Kria SOMs

In total the following Kria kits are supported:

- Kria KR260 Robotics Starter Kit.
- Kria KV260 Vision AI Starter Kit.

Each device comes with some example Overlays to get started.

- **DPU-PYNQ** (v2.5) [[GitHub]](https://github.com/Xilinx/DPU-PYNQ) [[PYPI]](https://pypi.org/project/pynq-dpu/)  
This overlay contains a Vitis-AI 2.5.0 Deep Learning Processor Unit (DPU) and comes with a variety of notebook examples with pre-trained ML models.  
_Supported boards_: _KV260_, _KR260_

- **Composable Pipeline** (v1.1 soft-release) [[GitHub]](https://github.com/Xilinx/PYNQ_Composable_Pipeline)  
The Composable pipeline is an overlay with a novel and clever architecture that allow us to adapt how the data flows between a series of IP cores.  
_Supported boards_: _KV260_

- **PYNQ-Helloworld** [[GitHub]](https://github.com/Xilinx/PYNQ-HelloWorld) [[PYPI]](https://pypi.org/project/pynq-helloworld/)  
One of PYNQ’s first overlays, the PYNQ-Helloworld overlay includes an image resizer block in programmable logic. This overlay demonstrates a simple but powerful use of programmable logic HLS blocks to do image processing.  
_Supported boards_: _KV260_, _KR260_

- **Base Overlay** [GitHub]  
This overlay includes support for the KV260’s Raspberry Pi camera and PMOD interfaces. A [Digilent Pcam 5C](https://digilent.com/reference/add-ons/pcam-5c/start?redirect=1) camera can be attached to the KV260 and controlled from Jupyter notebooks. Additionally, a variety of Grove and PMOD devices are supported on the PMOD interface - all controllable from a Xilinx Microblaze processor in programmable logic.  
_Supported boards_: _KV260_

There is also already community designs available for the KR260, such as the [KRIA-Motor-Control](https://github.com/MakarenaLabs/KRIA-Motor-Control) from MakarenaLabs.

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

Thanks,

PYNQ team