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Kubeflow v1.2 Documentation
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Kubeflow on OpenShift

 来源:Kubeflow 浏览 295 扫码 分享 2021-07-11 11:26:09
  • Kubeflow on OpenShift
    • Install Kubeflow on OpenShift
    • Uninstall Kubeflow

    Kubeflow on OpenShift

    Running Kubeflow 1.0 on OpenShift 4.x

    Install Kubeflow on OpenShift

    Instructions for deploying Kubeflow on an OpenShift cluster from the command line

    Uninstall Kubeflow

    Instructions for uninstalling Kubeflow from your OpenShift cluster

    Last modified 20.04.2021: Apply Docs Restructure to `v1.2-branch` = update `v1.2-branch` to current `master` v2 (#2612) (4e2602bd)

    当前内容版权归 Kubeflow 或其关联方所有，如需对内容或内容相关联开源项目进行关注与资助，请访问 Kubeflow .
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    • Documentation
    • About
      • Kubeflow
      • Use Cases
      • Contributing to Kubeflow
      • Community
      • Google Summer of Code
      • Docs
      • Style Guide for the Kubeflow Docs
      • Events Calendar
    • Getting Started
      • Kubeflow Overview
      • Installing Kubeflow
      • Workstation Installation
        • Kubeflow on Linux
        • Kubeflow on macOS
        • Kubeflow on Windows
    • Components
      • Central Dashboard
        • Central Dashboard
        • Registration Flow
      • Notebook Servers
        • Overview of Jupyter Notebooks in Kubeflow
        • Set Up Your Notebooks
        • Create a Custom Jupyter Image
        • Submit Kubernetes Resources
        • Troubleshooting Guide for Jupyter Notebooks
      • Kubeflow Pipelines
        • Pipelines Quickstart
        • Installing Pipelines
          • Installation Options for Kubeflow Pipelines
          • Kubeflow Pipelines Standalone Deployment
          • Deploying Kubeflow Pipelines on a local cluster
        • Understanding Pipelines
          • Overview of Kubeflow Pipelines
          • Introduction to the Pipelines Interfaces
          • Concepts
            • Pipeline
            • Component
            • Graph
            • Experiment
            • Run and Recurring Run
            • Run Trigger
            • Step
            • Output Artifact
        • Building Pipelines with the SDK
          • Introduction to the Pipelines SDK
          • Install the Kubeflow Pipelines SDK
          • Build Components and Pipelines
          • Create Reusable Components
          • Building Python function-based components
          • Best Practices for Designing Components
          • Pipeline Parameters
          • Python Based Visualizations
          • Visualize Results in the Pipelines UI
          • Pipeline Metrics
          • DSL Static Type Checking
          • DSL Recursion
          • Using environment variables in pipelines
          • GCP-specific Uses of the SDK
          • Kubeflow Pipelines SDK for Tekton
          • Manipulate Kubernetes Resources as Part of a Pipeline
          • https://v1-2-branch.kubeflow.org/docs/components/pipelines/sdk/owners/
        • Multi-user Isolation for Pipelines
        • Caching
        • Upgrading
        • Samples and Tutorials
          • Using the Kubeflow Pipelines Benchmark Scripts
          • Using the Kubeflow Pipelines SDK
          • Experiment with the Kubeflow Pipelines API
          • Experiment with the Pipelines Samples
          • Run a Cloud-specific Pipelines Tutorial
        • Troubleshooting
        • Reference
          • Component Specification
            • Pipelines API Reference
          • Pipelines SDK Reference
      • Metadata
      • Istio
        • Istio Usage in Kubeflow
      • KFServing
        • KFServing
      • Fairing
        • Overview of Kubeflow Fairing
        • Install Kubeflow Fairing
        • Configure Kubeflow Fairing
        • Fairing on Azure
        • Fairing on GCP
          • Configure Kubeflow Fairing with Access to GCP
          • GCP Samples and Tutorials
            • Train and Deploy on GCP from a Local Notebook
            • Train and Deploy on GCP from a Kubeflow Notebook
        • Tutorials
          • Other Samples and Tutorials
        • Reference
          • Kubeflow Fairing SDK Reference
      • Feature Store
        • Introduction to Feast
        • Getting started with Feast
      • Katib
        • Introduction to Katib
        • Getting Started with Katib
        • Running an Experiment
        • Resuming an Experiment
        • Overview of Trial Templates
        • Using Early Stopping
        • Katib Configuration Overview
        • Environment Variables for Katib Components
      • Tools for Serving
        • Overview
        • Seldon Core Serving
        • BentoML
        • NVIDIA Triton Inference Server
        • TensorFlow Serving
        • TensorFlow Batch Prediction
      • Training Operators
        • TensorFlow Training (TFJob)
        • PyTorch Training
        • MPI Training
        • MXNet Training
        • Job Scheduling
      • Multi-Tenancy
        • Introduction to Multi-user Isolation
        • Design for Multi-user Isolation
        • Getting Started with Multi-user Isolation
    • Distributions
      • kfctl
        • Overview of Deployment on an Existing Kubernetes Cluster
        • Kubeflow Deployment with kfctl_k8s_istio
        • Multi-user, auth-enabled Kubeflow with kfctl_istio_dex
        • Configuring Kubeflow with kfctl and kustomize
        • Deploying with minikube on a single node
      • Kubeflow on AWS
        • Deployment
          • Install Kubeflow
          • Uninstall Kubeflow
        • Customizing Kubeflow on AWS
        • AWS IAM Role for Service Account
        • Logging
        • Private Access
        • Authentication and Authorization
        • Authentication using OIDC
        • Configure Kubeflow Pipelines on AWS
        • Custom Domain
        • Optimized Jupyter Notebooks on AWS
        • Storage Options
        • Configure External Database Using Amazon RDS
        • Troubleshooting Deployments on Amazon EKS
        • Kubeflow on AWS Features
        • End-to-end Kubeflow on AWS
      • Kubeflow on Azure
        • Deployment
          • Install Kubeflow
          • Initial cluster setup for existing cluster
          • Uninstall Kubeflow
        • Authentication using OIDC in Azure
        • Azure Machine Learning Components
        • End-to-End Pipeline Example on Azure
        • Access Control for Azure Deployment
        • Configure Azure MySQL database to store metadata
        • Troubleshooting Deployments on Azure AKS
      • Kubeflow on GCP
        • Deploying Kubeflow
          • Set up a Google Cloud Project
          • Set up OAuth for Cloud IAP
          • Management cluster setup
          • Deploy using kubectl and kpt
          • Upgrade Kubeflow
          • Monitor Cloud IAP Setup
          • Delete using CLI
          • Features of Kubeflow on GCP
          • Deploy using UI
        • Kubeflow On-premises on Anthos GKE
        • Pipelines on GCP
          • Connecting to Kubeflow Pipelines on Google Cloud using the SDK
          • Authenticating Pipelines to GCP
          • Upgrading
          • Enabling GPU and TPU
          • Using Preemptible VMs and GPUs on GCP
        • Customizing Kubeflow on GKE
        • Using Your Own Domain
        • Authenticating Kubeflow to GCP
        • Using Cloud Filestore
        • Securing Your Clusters
        • Troubleshooting Deployments on GKE
        • Tutorial: End-to-end Kubeflow on GCP
        • Logging and monitoring
      • Kubeflow on IBM Cloud
        • Create or access an IBM Cloud Kubernetes cluster
        • Create or access an IBM Cloud Kubernetes cluster on a VPC
        • Kubeflow Deployment on IBM Cloud
          • Kubeflow Deployment Process
          • Install Kubeflow on IKS
          • Install Kubeflow on OpenShift
          • Securing the Kubeflow authentication with HTTPS
          • Uninstall Kubeflow
        • Pipelines on IBM Cloud Kubernetes Service (IKS)
        • Using IBM Cloud Container Registry (ICR)
        • End-to-end Kubeflow on IBM Cloud
      • Kubeflow Charmed Operators
        • Installing Kubeflow with Charmed Operators
      • Kubeflow Operator
        • Introduction
        • Installing Kubeflow Operator
        • Installing Kubeflow
        • Uninstalling Kubeflow
        • Uninstalling Kubeflow Operator
        • Troubleshooting
      • MicroK8s Kubeflow add-on
        • Kubeflow on MicroK8s
      • MiniKF
        • MiniKF on laptop/desktop
        • MiniKF on AWS Marketplace
        • MiniKF on GCP Marketplace
      • Kubeflow on OpenShift
        • Install Kubeflow on OpenShift
        • Uninstall Kubeflow
    • Tutorials, Samples, and Shared Resources
      • Kubeflow Samples
      • Codelabs, Workshops, and Tutorials
      • Blog Posts
      • Videos
      • Shared Resources and Components
    • Further Setup and Troubleshooting
      • Deploying Kubeflow behind a proxy server
      • Kubeflow On-prem in a Multi-node Kubernetes Cluster
      • Usage Reporting
      • Troubleshooting
      • Frequently Asked Questions
      • Support
      • Integrations
        • Data Management
    • Reference
      • Reference Overview
      • Kubeflow Versioning Policies
      • Dockerfile Locations
      • Katib Reference
        • Katib v1beta1
          • Katib
        • Katib v1alpha3
          • Katib
      • MPIJob Reference
        • MPIJob v1alpha2
          • MPIJob
      • Notebook CRD Reference
        • Notebook CRD V1 Reference
      • PyTorchJob Reference
        • PyTorchJob v1
          • PyTorchJob
        • PyTorchJob v1beta2
          • PyTorchJob
      • TFJob Reference
        • TFJob v1
          • TFJob Common
          • TFJob TensorFlow
        • TFJob v1beta2
          • TFJob Common
          • TFJob TensorFlow
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