Containers

RamaLama's new multimodal feature integrates vision-language models with containers. Discover how it helps developers download and serve multimodal AI models.

Integrate Red Hat AI Inference Server with LangChain to build agentic document processing workflows. This article presents a use case and Python code.

Download this practical guide and learn techniques for building, testing, and debugging .NET applications within the Red Hat OpenShift environment.

Dive into the world of containers and Kubernetes with Podman Desktop, an open-source tool to empower your container development workflow, and seamlessly deploy applications to local and remote Kubernetes environments. For developers, operations, and those looking to simplify building and deploying containers, Podman Desktop provides an intuitive interface compatible with container engines such as Podman, Docker, Lima, and more.

Podman enables developers to run Linux containers on MacOS within virtual machines, including GPU acceleration for improved AI inference performance.

Learn how Podman AI Lab and RamaLama work together to simplify local AI model execution, using containers and GPU support for faster, easier AI development.

Pick a topic below that interests you, then go through one of the self-paced tutorials!

This article elaborates on the various use cases for embedding containers and provides examples of templates.

Learn how to consolidate your workflow with the help of dev containers and Podman, enabling a seamless workflow across multiple interdependent components.

Use containers locally to simulate network latency with a distributed database cluster. Test architectures and identify issues before they occur in production.

Learn how to run RHEL 10 on Windows as a Windows Subsystem for Linux distribution using Red Hat Enterprise Linux image builder.

Learn how to receive notifications about the status of Red Hat's services.

Discover how you can use the Podman AI Lab extension for Podman Desktop to work

Take a deeper look into container startup and termination order as a part of the pod lifecycle explained in the Kubernetes upstream documentation.

This article addresses the reasons for and against creating bootc images from scratch.

Follow this workflow for OpenStack Services on OpenShift to update the control plane and data plane components to the latest release.

Get an introduction to AI function calling using Node.js and the LangGraph.js framework, now available in the Podman AI Lab extension.

Learn how to automate the management of short-lived credentials to access resources within Quay using the External Secrets Operator (part 3 of 3).

Discover methods for leveraging short-lived credentials to access Quay resources securely within Red Hat OpenShift (part 2 of 3).

Announcing the release of the first tech preview of the jlink integration with OpenShift for OpenJDK containers.

Learn how to increase security by enabling short-lived credentials within Quay (part 1 of 3).

Dan Walsh dives into how container engines Podman and Docker handle SELinux, a crucial security solution for file system protection.

Explore how RamaLama makes it easier to share data with AI models using retrieval-augmented generation (RAG), a technique for enhancing large language models.

This article demonstrates how to enhance data security by installing OpenShift in confidential virtual machines on Azure cloud with AMD SEV-SNP technology.

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