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Kubeflow v1.1 Documentation
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Deployment

 来源:Kubeflow 浏览 238 扫码 分享 2021-07-11 09:52:02
  • Deployment
    • Install Kubeflow
    • Initial cluster setup for existing cluster
    • Uninstall Kubeflow

    Deployment

    Instructions for deploying Kubeflow on Azure

    Install Kubeflow

    Instructions for deploying Kubeflow

    Initial cluster setup for existing cluster

    Set up a cluster if you already have one

    Uninstall Kubeflow

    Instructions for uninstalling Kubeflow

    Last modified 21.04.2020: Restructured the website repo to allow for future i18n and content translation (#1909) (d0bd0e03)

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    • Documentation
    • About
      • Kubeflow
      • Use Cases
      • Contributing to Kubeflow
      • Community
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      • Docs
      • Style Guide for the Kubeflow Docs
      • Events Calendar
    • Getting Started
      • Kubeflow Overview
      • Installing Kubeflow
      • Cloud Installation
        • AWS for Kubeflow
        • Azure for Kubeflow
        • Google Cloud for Kubeflow
        • IBM Cloud for Kubeflow
      • Kubernetes Installation
        • Overview of Deployment on Existing Clusters
        • Kubeflow Deployment with kfctl_k8s_istio
        • Multi-user, auth-enabled Kubeflow with kfctl_existing_arrikto
        • Multi-user, auth-enabled Kubeflow with kfctl_istio_dex
      • Workstation Installation
        • Kubeflow on Linux
        • Kubeflow on macOS
        • Kubeflow on Windows
        • MiniKF
        • Deploy Kubeflow using MiniKF on Google Cloud
        • Deploying with minikube on a single node
        • Kubeflow on MicroK8s
    • Components of Kubeflow
      • Central Dashboard
        • Central Dashboard
        • Registration Flow
      • Metadata
      • Jupyter Notebooks
      • 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
      • Frameworks for Training
        • Chainer Training
        • MPI Training
        • MXNet Training
        • PyTorch Training
        • TensorFlow Training (TFJob)
      • Hyperparameter Tuning
        • Introduction to Katib
        • Getting started with Katib
        • Running an experiment
        • Katib Configuration Overview
        • Environment Variables for Katib Components
      • Pipelines
        • Pipelines
      • Tools for Serving
        • Overview
        • KFServing
        • Seldon Core Serving
        • BentoML
        • NVIDIA Triton Inference Server
        • TensorFlow Serving
        • TensorFlow Batch Prediction
      • Multi-Tenancy in Kubeflow
        • Introduction to Multi-user Isolation
        • Design for Multi-user Isolation
        • Getting Started with Multi-user Isolation
      • Miscellaneous
        • Nuclio functions
    • Jupyter Notebooks
      • Overview of Jupyter Notebooks in Kubeflow
      • Set Up Your Notebooks
      • Create a Custom Jupyter Image
      • Submit Kubernetes Resources
      • Build a Docker Image on GCP
      • Troubleshooting Guide
    • 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
        • Manipulate Kubernetes Resources as Part of a Pipeline
        • https://v1-1-branch.kubeflow.org/docs/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
    • 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
      • End-to-End Pipeline Example on Azure
      • Access Control for Azure Deployment
      • 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
        • 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
      • Deployment
        • Install Kubeflow
        • Securing the Kubeflow authentication with HTTPS
        • Uninstall Kubeflow
      • Create an IBM Cloud cluster
      • Initial cluster setup for existing cluster
      • Using IBM Cloud Container Registry (ICR)
      • Pipelines on IBM Cloud Kubernetes Service (IKS)
      • End-to-end Kubeflow on IBM Cloud
    • Kubeflow Operator
      • Introduction
      • Installing Kubeflow Operator
      • Installing Kubeflow
      • Uninstalling Kubeflow
      • Uninstalling Kubeflow Operator
      • Troubleshooting
    • 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
      • Configuring Kubeflow with kfctl and kustomize
      • Kubeflow On-prem in a Multi-node Kubernetes Cluster
      • Usage Reporting
      • Istio Usage in Kubeflow
      • Job Scheduling
      • Troubleshooting
      • Frequently Asked Questions
      • Support
      • Integrations
        • Data Management
    • Upgrading Kubeflow
    • Reference
      • Reference Overview
      • Kubeflow Versioning Policies
      • Dockerfile Locations
      • Katib Reference
        • 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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