思维导图备注

Kubeflow v1.2 Documentation
首页 白天 夜间 BookChat 小程序 小程序 阅读
  • 书签 我的书签
  • 添加书签 添加书签 移除书签 移除书签

MicroK8s Kubeflow add-on

 来源:Kubeflow 浏览 253 扫码 分享 2021-07-11 11:26:03
  • MicroK8s Kubeflow add-on
    • Kubeflow on MicroK8s

    MicroK8s Kubeflow add-on

    Running Kubeflow on MicroK8s

    Kubeflow on MicroK8s

    Run Kubeflow on MicroK8s with built-in Kubeflow add-on

    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 .
    上一篇:
    下一篇:
    • 书签
    • 添加书签 移除书签
    • 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
    暂无相关搜索结果！

      本文档使用 BookStack 构建

      展开/收起文章目录

      分享，让知识传承更久远

      文章二维码

      手机扫一扫，轻松掌上读

      文档下载

      • 普通下载
      • 下载码下载(免登录无限下载)
      你与大神的距离，只差一个APP
      APP下载
      请下载您需要的格式的文档，随时随地，享受汲取知识的乐趣！
      PDF文档 EPUB文档 MOBI文档
      温馨提示 每天每在网站阅读学习一分钟时长可下载一本电子书，每天连续签到可增加阅读时长
      下载码方式下载：免费、免登录、无限制。 免费获取下载码

      微信小程序阅读

      BookChat 微信小程序阅读
      您与他人的薪资差距，只差一个随时随地学习的小程序

      书签列表

        阅读记录

        阅读进度: 0.00% ( 0/0 ) 重置阅读进度