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]

Model Management

Introduction

Introduction

Guides

Model Repository

Advantages
Core Features
Technical Notes
Create Model and Upload Model Files

How To

Upload Models Using Notebook

Creating a Workbench/Notebook Instance
Preparing the Model
Create a Model
Uploading the model
Editing Model Metadata
Appendix

Share Models

Introduction
Steps

Previous PageInference Service Fails to Enter Running State

Next PageIntroduction