Intel® DevCloud Container Playground

Developer Guide

  • BETA
  • 01/18/2022
  • Public Content
Contents

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
notes
 at the end of each section to try out working examples of each capability.

Introduction

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
    e
  • 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.

Marketplace

To get started, try out the full-stack reference implementations, or use samples as building blocks for your custom solutions.

Develop

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

Build

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

Test

Benchmark your existing container images imported from container registries. You can also test your multi-container solutions with docker-compose files and helm charts.
  • Current release supports
    CPUs
     and
    integrated GPUs
    .
  • Helm-charts
     and
    docker-compose
     capabilities are currently preview features.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.