Pre-installation Configuration

Enable Fine-Tuning and Training Features

Install Workbench

Install Alauda AI Essentials

Install Alauda AI

Tools Menu Configuration

Upgrade from AI 1.3

Infrastructure Management

Device Management

About Alauda Build of Hami

About Alauda Build of NVIDIA GPU Device Plugin

Namespace Management

Create Workbench

Model Deployment & Inference

Inference Service

Inference Service

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

Model Repository

Upload Models Using Notebook

Create Fine-tuning Tasks

Developing Custom Fine-Tuning Templates

Create Training Tasks

Develop Custom Training Templates

Monitoring & Ops

Features Overview

Logging & Tracing

Resource Monitoring

Resource Monitoring

Add a Monitoring Dashboard

Troubleshooting

Monitor Dashboard Stuck at Loading

Install Label Studio

Alauda Build of Kueue

Configuring quotas

Monitoring pending workloads

Configuring fair sharing

Gang scheduling

Integrate with Alauda DevOps Pipelines

Integrate with InferenceService

LLM Compressor with Alauda AI

Evaluating Models with Alauda AI

Kubernetes APIs

Inference Service APIs

ClusterServingRuntime [serving.kserve.io/v1alpha1]

InferenceService [serving.kserve.io/v1beta1]

Workspace Kind [kubeflow.org/v1beta1]

Workspace [kubeflow.org/v1beta1]

AmlNamespace [manage.aml.dev/v1alpha1]

AmlCluster [amlclusters.aml.dev/v1alpha1]

Model Deployment & Inference

Overview

Inference Service

Model Management

Previous pageCreate Workbench Next pageOverview