Red Hat SummitRed Hat OpenShift AI Self-Managed 3.0
Welcome
릴리스 노트
이 릴리스와 관련된 기능, 개선 사항, 해결된 문제 및 알려진 문제
Introduction to Red Hat OpenShift AI
OpenShift AI is a platform for data scientists and developers of artificial intelligence and machine learning (AI/ML) applications
Supported configurations
Supported software platforms and architecture
Product life cycle
Understand the product life cycle to plan deployments and support applications using the product
Red Hat AI learning hub
Explore a curated collection of learning resources designed to help you accomplish key tasks with Red Hat AI products and services
Provide feedback on Red Hat documentation
Let Red Hat know how we can make our documentation better
Documentation for OpenShift cluster administrators
Guidance on installing and managing OpenShift AI for OpenShift cluster administrators
Installing and uninstalling OpenShift AI Self-Managed
Install and uninstall OpenShift AI Self-Managed
Installing and uninstalling OpenShift AI Self-Managed in a disconnected environment
Install and uninstall OpenShift AI Self-Managed in a disconnected environment
Upgrades are not supported in OpenShift AI 3.0
As the OpenShiftAI 3.0 release introduces significant changes, and is a fast release, we want to ensure a smooth migration path from 2.x stable (eg 2.25) to the first stable 3.x release. As a result, upgrade from 2.x to 3.0 is not available
Managing OpenShift AI
Cluster administrator tasks for managing OpenShift AI
Enabling the model registry component
Enabling the model registry component in Red Hat OpenShift AI Self-Managed
Managing and monitoring models
Manage and monitor models in Red Hat OpenShift AI Self-Managed
Working with machine learning features (Technology Preview)
Store, manage, and serve features to machine learning models with Feature Store.
Creating a workbench
Create a workbench and a custom image by using Custom Resource Definitions (CRDs) and the command-line.
Usage data collection notice
Learn about data collected in relation with your usage of the software
Documentation for OpenShift AI administrators
Guidance for managing OpenShift AI administration settings
Managing resources
Manage administration tasks from the OpenShift AI dashboard
Configuring your model-serving platform
Configure your model-serving platform in Red Hat OpenShift AI Self-Managed
L#178a Stack 사용
Red Hat OpenShift AI Self-Managed에서 L#178a Stack으로 작업
Working with accelerators
Working with accelerators from Red Hat OpenShift AI Self-Managed
Managing model registries
Managing model registries in Red Hat OpenShift AI Self-Managed
Documentation for OpenShift AI users
Guidance for ML Ops Engineers and Data Scientists on how to work in OpenShift AI
Getting started with Red Hat OpenShift AI Self-Managed
Learn how to work in an OpenShift AI environment
Working with data in an S3-compatible object store
Work with data stored in an S3-compatible object store from your workbench
Working on projects
Organize your work in projects and workbenches, create and collaborate on notebooks, train and deploy models, configure model servers, and implement pipelines
Working in your data science IDE
Working in your data science IDE from Red Hat OpenShift AI Self-Managed
Working with AI pipelines
Work with AI pipelines from Red Hat OpenShift AI Self-Managed
Experimenting with models in the gen AI playground
Experiment with models in the gen AI playground in Red Hat OpenShift AI Self-Managed
Customize models to build gen AI applications
Customize AI models that are specific to your domain-specific use case, from setting up your development environment to building and deploying models for use in generative AI applications
Monitoring data science models
Monitor your OpenShift AI models for fairness
Working with distributed workloads
Use distributed workloads for faster and more efficient data processing and model training
Working with connected applications
Connect to applications from Red Hat OpenShift AI Self-Managed
Working with model registries
Working with model registries in Red Hat OpenShift AI Self-Managed
Working with the model catalog
Working with the model catalog in Red Hat OpenShift AI Self-Managed
모델 배포
Red Hat OpenShift AI Self-Managed에서 모델 배포
API tiers
View a list of API tiers and API version examples for OpenShift AI
Related Products
Red Hat AI Inference Server
Switch to the AI Inference Server documentation
Red Hat Enterprise Linux AI
Switch to the Enterprise Linux AI documentation
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