Developer Sandbox

In this learning path, we will deploy and update a distributed application on

Learn how to run applications build with Paketo Buildpacks and Red Hat UBI containers in Red Hat OpenShift.

Learn how to set up a cloud development environment (CDE) using Ollama, Continue, Llama3, and Starcoder2 LLMs with OpenShift Dev Spaces for faster, more efficient coding.

Learn how to create and manage your virtual machines (VMs) using Red Hat

BERT, which stands for Bidirectional Encoder Representations from Transformers

This article explains how to use Red Hat OpenShift AI in the Developer Sandbox for Red Hat OpenShift to create and deploy models.

Address cross-cloud identity challenges with SPIFFE/SPIRE on Red Hat OpenShift

Learn how to convert existing DeploymentConfigs into Kubernetes Deployments in

Get access to Red Hat's software downloads for application developers.

Learn how to build an end-to-end reactive stream processing application using Apache Kafka as an event streaming platform, Quarkus for your backend, and a frontend written in Angular.

Are you curious about the power of artificial intelligence (AI) but not sure

Move your legacy Java application into a container and deploy it to Kubernetes

Podman Desktop's Red Hat Account Extension offers easier access to products like Red Hat Enterprise Linux and helps get your job done on your chosen desktop OS.

A common platform for machine learning and app development on the hybrid cloud.

Applications based on machine learning and deep learning, using structured and unstructured data as the fuel to drive these applications.

Red Hat provides AI/ML across its products and platforms, giving developers a portfolio of enterprise-class AI/ML solutions to deploy AI-enabled applications in any environment, increase efficiency, and accelerate time-to-value.

Enterprise grade Artificial Intelligence and Machine Learning (AI/ML) for Developers, Data Engineers, Data Scientists and Operations.