English

English

Overview

Install

Pre-installation Configuration

Install Alauda AI Essentials

Install Alauda AI

Install Alauda Hyperflux

Upgrade

Upgrade from AI 1.3

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

How To

Create WorkspaceKind

Create Workbench

Model Deployment & Inference

Overview

Inference Service

Guides

Inference Service

How To

Extend Inference Runtimes

Configure External Access for Inference Services

Configure Scaling for Inference Services

Configure Accurately Scheduling Inference Services based on the CUDA version

Troubleshooting

Experiencing Inference Service Timeouts with MLServer Runtime

Inference Service Fails to Enter Running State

Model Management

Guides

Model Repository

How To

Upload Models Using Notebook

Monitoring & Ops

Overview

Features Overview

Logging & Tracing

Guides

Resource Monitoring

Guides

Resource Monitoring

Label Studio

Overview

Install Label Studio

API Reference

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]

Overview

Introduction

Label Studio
Core Concepts
Documentation

Main Features

Multi-user Annotation
Multi-type Data Support
Flexible Annotation Configuration
Data Import/Export
Machine Learning Integration

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