Red Hat OpenShift AI

Red Hat OpenShift AI is an artificial intelligence platform that runs on top of Red Hat OpenShift and provides tools across the AI/ML lifecycle.

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Build smarter with Red Hat OpenShift AI

OpenShift AI gives data scientists and developers a powerful AI/ML platform for building AI-enabled applications. Data scientists and developers can collaborate to move from experiment to production in a consistent environment quickly.

It provides an AI platform with popular open source tooling. Familiar tools and libraries like Jupyter, TensorFlow, and PyTorch along with MLOps components for model serving and data science pipelines are integrated into a flexible UI.

Learn more about Red Hat OpenShift

Introducing Red Hat AI Inference

Red Hat® AI optimizes inference to help you stay cost effective and allow your teams to scale. Driven by open source technologies like vLLM, it offers the flexibility to scale across the hybrid cloud with the model and accelerator of your choice. 

 

Red Hat AI Inference is included in Red Hat AI and is certified for all Red Hat products. Or, deploy across Linux and Kubernetes platforms under our third-party support policy.

Try Red Hat AI Inference
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Accelerate Data Science

Enabling rapid experimentation and model development on OpenShift allows developers to integrate models into their workflows with fewer obstacles.

Flexibility and choice

Flexibility and choice

Data scientists and developers can collaborate to develop, train, and deploy models in a common, trusted environment—whether on-site, in the cloud, or at the edge. Focus on application development and innovation rather than managing tickets and chasing down unsupported tools and patches.
Operationalize AI/ML models

Operationalize AI/ML models

With Red Hat's expertise in application platforms powered by Kubernetes, we provide capabilities to move your experimental models to production faster, with fewer obstacles. Data scientists, developers, and AI engineers can collaborate with tools like model serving, data science pipelines, and model monitoring, data scientists can use similar DevOps principles honed by application developers on the same OpenShift platform.
Choose your technology partners

Choose your technology partners

Choose from a broad range of validated partner data science and ML tools. Access software and offerings from NVIDIA, AMD, Intel, EDB, Elastic and others.

Red Hat OpenShift AI is open source

Red Hat’s product development cycle has always been rooted in open source and the communities that help to steer Red Hat’s products’ direction. Like Fedora is the upstream project for Red Hat Enterprise Linux, the projects listed here are the upstream versions of products that make up Red Hat OpenShift AI.

Open Data Hub and Kubeflow installation customization

Open Data Hub

Red Hat OpenShift AI is based on the upstream project Open Data Hub, which is a blueprint for building an AI as a service platform on Red Hat's Kubernetes-based OpenShift Container Platform. Open Data Hub is a meta-project that integrates over 20 open source AI/ML projects into a practical solution. Red Hat OpenShift AI provides a subset of the tools offered in Open Data Hub as a commercially supported software product or cloud service.
Jupyter logomark

Jupyter

Project Jupyter is a project born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages. Jupyter is a community of data enthusiasts who believe in the power of open tools and standards for education, research, and data analytics.
Tensorflow logomark

TensorFlow

TensorFlow is an end-to-end, open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications.
Pytorch logomark

PyTorch

PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment. It is used for applications such as computer vision and natural language processing.
Mlflow logo

MLflow

MLflow is an open-source platform, purpose-built to assist machine learning practitioners and teams in handling the complexities of the machine learning process. MLflow focuses on the full lifecycle for machine learning projects, ensuring that each phase is manageable, traceable, and reproducible.
Kubeflow

Kubeflow

Kubeflow is an open source framework aimed at simplifying AI/ML workflow deployment at scale. Red Hat OpenShift AI integrates the Kubeflow notebook controller, model serving, and data science pipeline components into the core product.