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® Xe
- 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, notebooks to learn about OpenVINO™ api 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.
Get an overview using the
Quick tour
option.
- Current release supportsCPUsandintegrated GPUs.