Developer Guide

  • BETA
  • 04/06/2022
  • Public Content

Intel® DevCloud - Container Playground

This guide is designed to help you get familiar with all the capabilities of the Intel® DevCloud - Container Playground. Use the
at the end of each section to try out working examples of each capability.


The Intel® DevCloud - Container Playground extension enables you to seamlessly develop, build and test cloud-native container applications on various target deployment hardware.
  • Intel® Xeon® and Intel® Core™ processors
  • Intel® Vision Accelerator Designs with Intel® Movidius™ VPUs (Coming soon)
  • Intel® Processor Graphics including Intel® Iris® X
  • Market-Ready Intel® Partner hardware. (Coming soon)
The Container Playground can be used to securely test, optimize and enhance your applications before deploying your solution on a cloud service provider or locally on edge devices.


To get started, try out the full-stack reference implementations, notebooks to learn about OpenVINO™ api or use samples as building blocks for your custom solutions.


Use the JupyterLab environment to download, convert or optimize pre-trained models from supported deep learning frameworks with the Intel® Distribution of OpenVINO™ Toolkit.


Import your source code hosted in a git repository and build your container images directly from the application source or Dockerfiles.


Benchmark your existing container images imported from container registries. You can also test your multi-container solutions with docker-compose files and helm charts.
Get an overview using the
Quick tour
  • Current release supports
    integrated GPUs

Product and Performance Information


Performance varies by use, configuration and other factors. Learn more at