Webinar Tuesday March 22nd: Kria SOMs x Ubuntu x PYNQ

Hi all,

Check out this joint webinar I’m doing with David from Canonical. If you can’t make the time, but still want to see it, please register and you’ll get a replay link you can watch at your convenience.

Webinar Registration
Webinar Registration Link

Webinar Abstract
Xilinx® Kria™ SOMs were built with edge AI and embedded software developers in mind. Join this webinar to learn how two key embedded building blocks can accelerate your Kria SOM application development:

The Ubuntu Linux distribution

Canonical and AMD-Xilinx have brought enterprise-grade Linux to the world of adaptive SoCs to accelerate the development of Industrial and Healthcare IoT embedded devices, Vision AI Edge Systems, and much more. Ubuntu 20.04 Desktop images are now optimized for Kria™ SOMs and Zynq® UltraScale+™ MPSoC evaluation boards. This webinar will cover:

  • How to equip developers familiar with C++, Python, ROS 2, or their preferred machine-learning framework to access Ubuntu’s benefits targeting Kria SoMs
  • A simplified embedded design flow by offering a familiar and smooth experience from evaluation to production on Kria SOMs, including step-by-step instructions on Getting Started with Ubuntu
  • The strategic engagement between Canonical and Xilinx providing access to the latest features of a standardized, curated, and secure Ubuntu image by Canonical at no charge to users

The PYNQ Framework

PYNQ Is an open-source project from AMD-Xilinx® that makes it easier to use AMD-Xilinx platforms by leveraging the Python language and libraries. The PYNQ framework and Kria SOMs are both focused on making AMD-Xilinx benefits accessible to developers who have never used FPGAs before. This webinar will also cover how you can get started and maximize PYNQ benefits with Kria SOMs, such as

  • How to install PYNQ on the KV260 running Ubuntu and how to download any of the four open source designs to get you started
  • An example of dynamic Function eXchange design, in the form of composable overlays, to Kria SOMs, allowing users to create their own custom data pipelines at runtime directly within the PYNQ environment without using additional development tools — time-multiplexing partial or full hardware designs is easier than ever.