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Red Hat OpenShift AI

Rating:

4.3 / 5.0

Tags

red hat, openshift, openshift ai, mlops, enterprise ai, kubernetes, model serving, model tuning, jupyter, data science, ibm

Categories:
Machine learning and neural networks
Creator Red Hat
Date 2022-04-01
Platforms Cloud, On-premise, Kubernetes
Status Live
Website redhat.com
Price Model Subscription
Sections:
ML Platforms

Pricing Details

Commercial subscription. It is an add-on to a Red Hat OpenShift Platform Plus or other OpenShift subscriptions.

Features

Integrated MLOps platform, Model hosting and serving, Model tuning, Jupyter Notebooks integration, Built-in monitoring, AI Guardrails for security

Integrations

Jupyter, PyTorch, TensorFlow, Kubernetes, NVIDIA AI Enterprise, IBM watsonx, Anaconda, Starburst

Preview

Red Hat OpenShift AI (formerly known as OpenShift Data Science) is Red Hat's strategic solution for organizations looking to systematize and scale their AI initiatives. The platform is built on the industry-leading OpenShift Kubernetes platform, giving it the flexibility to be deployed in any hybrid cloud or on-premise data center. OpenShift AI provides a full suite of out-of-the-box tools, from familiar development environments like Jupyter Notebooks to powerful model serving systems capable of running on multiple GPUs. Version 2.18, released in March 2025, brought significant improvements, including an end-to-end model tuning workflow and a preview of AI Guardrails—a tool for ensuring security, ethics, and policy compliance for AI applications. This allows for not only deploying models but also controlling their behavior in a production environment. The platform is aimed at MLOps teams and IT administrators, providing them with centralized control, resource management, and tools for experiment reproducibility.