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Google Cloud for Kubeflow

 来源:谷歌 浏览 504 扫码 分享 2020-03-06 21:35:27
  • Google Cloud for Kubeflow
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    Google Cloud for Kubeflow

    Get Kubeflow running on Google Cloud Platform (GCP)

    For details on setting up your GCPenvironment and deploying Kubeflow on Kubernetes Engine (GKE),refer to the deployment section of theKubeflow GCP documentation.

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    Last modified 13.11.2019: Remove outdated video (#1390) (bc381502)

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    • About
      • Kubeflow
      • Use Cases
      • Contributing to Kubeflow
      • Community
      • Events Calendar
      • Docs
      • Style Guide for the Kubeflow Docs
    • 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
        • Deploy using MiniKF on GCP
    • Components of Kubeflow
      • Central Dashboard
        • Central Dashboard
        • Registration Flow
      • Metadata
      • Jupyter Notebooks
      • 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
      • Pipelines
        • Pipelines
      • Tools for Serving
        • Overview
        • KFServing
        • Seldon Serving
        • NVIDIA TensorRT 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
      • 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
        • Build Lightweight Python 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
      • Upgrading and Reinstalling
      • Samples and Tutorials
        • 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
    • 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
    • Kubeflow on AWS
      • Deployment
      • Install Kubeflow
      • Uninstall Kubeflow
      • Customizing Kubeflow on AWS
      • AWS IAM Role for Service Account
      • Logging
      • Private Access
      • Authentication and Authorization
      • Custom Domain
      • Storage Options
      • 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
      • 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 GCP Project
      • Set up OAuth for Cloud IAP
      • Deploy using UI
      • Deploy using CLI
      • Monitor Cloud IAP Setup
      • Delete using CLI
      • Delete using GCP Console
      • Features of Kubeflow on GCP
      • Kubeflow On-premises on Anthos GKE
      • Pipelines on GCP
      • Authenticating Pipelines to GCP
      • Upgrading and Reinstalling
      • 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
      • Install Kubeflow
      • Initial cluster setup for existing cluster
      • Uninstall Kubeflow
    • Kubeflow on OpenShift
      • Install Kubeflow
      • Uninstall Kubeflow
    • Tutorials, Samples, and Shared Resources
      • Kubeflow Samples
      • Codelabs, Workshops, and Tutorials
      • Blog Posts
      • Videos
      • Shared Resources and Components
    • Further Setup and Troubleshooting
      • Virtual Developer Environments
      • Microk8s for Kubeflow
      • MiniKF
      • 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
    • Upgrading Kubeflow
      • Upgrading a Kubeflow Deployment
    • Reference
      • Reference Overview
      • Kubeflow Versioning Policies
      • Dockerfile Locations
      • Katib Reference
      • Katib v1alpha3
      • Katib
      • 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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