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Alauda AI
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Alauda AI
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Overview

Introduction
Quick Start
Release Notes

Install

Pre-installation Configuration
Install Alauda AI Essentials
Install Alauda AI

Upgrade

Upgrade from AI 1.3

Uninstall

Uninstall

Infrastructure Management

Device Management

About Alauda Build of Hami
About Alauda Build of NVIDIA GPU Device Plugin

Multi-Tenant

Guides

Namespace Management

Workbench

Overview

Introduction
Install
Upgrade

How To

Create WorkspaceKind
Create Workbench

Model Deployment & Inference

Overview

Introduction
Features

Inference Service

Introduction

Guides

Inference Service

How To

Extend Inference Runtimes
Configure External Access for Inference Services
Configure Scaling for Inference Services

Troubleshooting

Experiencing Inference Service Timeouts with MLServer Runtime
Inference Service Fails to Enter Running State

Model Management

Introduction

Guides

Model Repository

Monitoring & Ops

Overview

Introduction
Features Overview

Logging & Tracing

Introduction

Guides

Logging

Resource Monitoring

Introduction

Guides

Resource Monitoring

API Reference

Introduction

Kubernetes APIs

Inference Service APIs

ClusterServingRuntime [serving.kserve.io/v1alpha1]
InferenceService [serving.kserve.io/v1beta1]

Workbench APIs

Workspace Kind [kubeflow.org/v1beta1]
Workspace [kubeflow.org/v1beta1]

Manage APIs

AmlNamespace [manage.aml.dev/v1alpha1]

Operator APIs

AmlCluster [amlclusters.aml.dev/v1alpha1]
Glossary
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#Namespace Management

The tenants supported by Alauda AI are Kubernetes namespaces, which need to be managed in Namespace Management before they can be used as tenants of Alauda AI.

The procedure to create a namespace and add users to this namespace are as follows:

  1. Log into the Web Console as an administrator

  2. Create a namespace

    1. Switch to the Projects view

    2. Create or select an existing project, and then click to enter the current project details page.

    3. Click Namespace > Namespace

    4. Click Create Namespace

    5. In Create Namespace page, under Pod Security Policies section, select privileged as security standard for all three enforce, audit and warn security modes.

      WARNING

      Security standard should be either blank or privileged, otherwise AI Inference workload may refuse to run.

  3. Assign namespace permissions to users

    1. Switch to the Administrator view
    2. Select User Role Management > User Management from the navigation
    3. Create a new user or select the user to be added to this namespace
    4. Click the Configure Role tab and click the Add Role button
    5. Configure Alauda AI-related roles for the user and select the previously created namespace
      • Editor: Users can create and delete workloads in the namespace and use resource quotas such as CPU and GPU to complete work
      • Owner: Users have the permission to manage this Alauda AI namespace
      • Viewer: Users can only view the resources of the namespace and cannot create or delete workloads
  4. Return to Alauda AI, click Namespace Manage in Admin > Management Namespace, and select the previously created namespace to complete the management