oneContainer Portal

Search for optimized containers and solutions from Intel. Get production-quality Docker* containers designed to meet your specific needs for HPC, AI, machine learning, IoT, media, rendering, and more. The oneContainer portal also includes Kubernetes* packages, Helm* charts, AI models, and pipelines.

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Get Started with oneContainer Portal

Whether you’re new to containers or you manage a large-scale Kubernetes* cluster, you need the right solution to address your challenges. The oneContainer Portal is your source for Intel-optimized containers. Containerized software and software stacks are available across AI, cloud and edge computing, computer vision, data center, HPC, IoT, media analytics, and oneAPI Toolkits.

Find a Container

Text Search, Refine Filters, and Toggle Tile/List View

Containers display by publication date with the most recent listed first. There are three on-screen controls that help you quickly locate the software you need.

  • Text Search - Located just above the main content display area, the search field rapidly matches results to your typed query.
  • Refine Filters - Select Filter to open a filter panel. Choose from the drop-down list items to narrow your search.
  • Tile/List - Select either title or list to change your view.

View Container Details

Once you’ve found your desired container, select either the title or Learn More button to view detailed information about the container. The detail pages include a pull command with a copy code function, along with a description and links to the Docker* source, GitHub* repository, documentation, release notes, and the README file for the container.

Launch a Container

Most of the oneContainer offerings are Docker containers. Make sure you have the Docker engine installed on your system. Get the Docker Engine

After you install the engine, follow these steps:

  1. Open an SSH terminal.
  2. Copy the docker pull command from the container landing page, paste it into the terminal, and then run it.
  3. To launch the container, use the docker run command found on the container detail page or in the README link under Documentation and Sources.

Container Basics

A container is a standard unit of software that packages code and all its dependencies so the application runs quickly and reliably from one computing environment to another.

Docker is a set of platform-as-a-service products that use operating system-level virtualization to deliver software in packages called containers.

A Docker image is a read-only template that contains a set of instructions for creating a container that can run on the Docker platform.

This is a file that describes a set of Kubernetes resources and simplifies packaging and deployment of a Kubernetes application.

 

This is a set of resources for scaling containerized applications; for example, training a model across several nodes in a Kubernetes cluster.

Machine learning models are downloadable packages with pretrained models and scripts needed for running a particular model workload on bare metal.

Pipelines are a set of steps within a model’s training or inference Kubernetes package that define a workflow.

This is a file that describes a set of Kubernetes resources and simplifies packaging and deployment of a Kubernetes application.

 

This is a set of resources for scaling containerized applications; for example, training a model across several nodes in a Kubernetes cluster.

Machine learning models are downloadable packages with pretrained models and scripts needed for running a particular model workload on bare metal.

Pipelines are a set of steps within a model’s training or inference Kubernetes package that define a workflow.

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