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The Kuadrant open source project helps platform engineers and developers connect, secure, and protect services and infrastructure across multiple clusters.

Explore the latest Backstage updates and Red Hat's ongoing contributions to the

Get an overview of Explainable and Responsible AI and discover how the open source TrustyAI tool helps power fair, transparent machine learning.

Operating system updates can be scary. Learn how Greenboot effectively mitigates the impact of faulty updates so your systems remain reliable and resilient.

Discover how InstructLab simplifies LLM tuning for users.

DevConf.US 2024: A free, community-driven open source conference featuring 60+

The Quarkus community project announced plans to join the Commhaus Foundation

Boost your coding productivity with private and free AI code assistance using Ollama or InstructLab to run large language models locally.

Understand how you can utilize the new Traces UI plug-in as part of the Red Hat OpenShift Container Platform web console experience.

Join Red Hat at WeAreDevelopers World Congress 2024, where sessions will cover

Learn a simplified method for installing KServe, a highly scalable and standards-based model inference platform on Kubernetes for scalable AI. 

Learn how to fine-tune large language models with specific skills and knowledge

Explore the concept of internal developer platforms (IDPs) through the lens of Red Hat Developer Hub and its foundations in the open source Backstage project.

This guide will walk you through the process of setting up RStudio Server on Red Hat OpenShift AI and getting started with its extensive features.

Learn about the open source Backstage project and how it empowers developers by providing a central platform to build customizable developer portals.

This article walks through the new native memory tracking feature in GraalVM Native Image, which will be available in GraalVM for JDK 23.

Introducing InstructLab, an open source project for enhancing large language models (LLMs) used in generative AI applications through a community approach.

The AI Lab Recipes repository offers recipes for building and running containerized AI and LLM applications to help developers move quickly from prototype to production.

This developer’s guide to developer portals outlines how Red Hat Developer Hub reduces friction and frustration and boosts productivity.

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.

Discover how Red Hat Trusted Software Supply Chain makes it easier to create, deploy, and host security-focused applications in the container era.

Learn how you can reduce latency when communicating virtual machines under CentOS Stream 9 by using the Eclipse Cyclone DDS.