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- Overview
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Infrastructure Administrator
Infrastructure Administrator
- Overview
- Installation
  Installation
  - Installation Types
  - Classic (SaaS)
    Classic (SaaS)
    
    Introduction
    
    System Requirements
    
    Network Requirements
    
    Cluster Install
    
    Customize Installation
    
    Manually Create Projects
    
    Cluster Upgrade
    
    Cluster Uninstall
    
    Install using Base Command Manager
  - Self-hosted
    Self-hosted
    
    Overview
    
    Kubernetes-based
    Kubernetes-based
    
    Prerequisites
    
    Preparations
    
    Install Control Plane
    
    Install a Cluster
    
    Install additional Clusters
    
    Manually Create Projects
    
    Next Steps
    
    Upgrade
    
    Uninstall
    
    OpenShift-based
    OpenShift-based
    
    Prerequisites
    
    Preparations
    
    Install Control Plane
    
    Install a Cluster
    
    Install additional Clusters
    
    Manually Create Projects
    
    Next Steps
    
    Upgrade
    
    Uninstall
  - Researcher Setup
    Researcher Setup
    
    Introduction
    
    Install the V1 CLI
    
    Install the V2 CLI Install the V2 CLI
    Table of contents
    
    Enabling the V2 CLI
    
    Installing the CLI
    
    Testing the installation
    
    Configuring the CLI
    
    Setting the Control plane URL
    
    Authenticating the CLI
    
    Setting the default cluster
    
    Setting a default project
    
    Validating the configuration
    
    Installing command auto-completion
- Configuration
  Configuration
- Maintenance
  Maintenance
- Authentication & Authorization
  Authentication & Authorization
  - Overview
  - Single Sign-On
    Single Sign-On
    
    Setup SSO with SAML
    
    Setup SSO with OpenID Connect
    
    Setup SSO with OpenShift
  - Users
  - Applications
  - Roles
  - Access Rules
  - Researcher Authentication
  - User Identity in Container
- Troubleshooting
  Troubleshooting
Platform Administrator
Platform Administrator
- Overview
- Authentication & Authorization
  Authentication & Authorization
  - Users
  - Applications
  - Roles
  - Access Rules
- Managing AI Intiatives
  Managing AI Intiatives
  - Adapting AI initiatives to your organization
  - Managing your Organization
    Managing your Organization
    
    Projects
    
    Departments
    
    Scheduling Rules
  - Managing your resources
    Managing your resources
    
    Nodes
    
    Configuring NVIDIA MIG Profiles
    
    Node Pools
- Workloads
  Workloads
  - Introduction to Workloads
  - Workload Types
  - Workloads
  - Workload Assets
    Workload Assets
    
    Overview
    
    Environments
    
    Data Sources
    
    Data Volumes
    
    Compute Resources
    
    Credentials
  - Workload Templates
    Workload Templates
    
    Workspace Templates
  - Policies
    Policies
    
    Overview
    
    Policies
    
    Policies Examples
    
    Policies Reference
    
    Older Policies
    Older Policies
    
    Policies V1
- Integrations
  Integrations
  - Overview
  - Working with Karpenter
- Review your performance
  Review your performance
  - Dashboard Analysis
  - Reports
- Best Practices
  Best Practices
  - From Docker to Run:ai
- System Configuration
  System Configuration
  - Administrator Messages
Researcher
Researcher
- Overview
- Quickstart Guides
  Quickstart Guides
  - Run:ai Quickstart Guides
  - Build
    Build
    
    Basics
    
    Visual Studio Code Web
    
    Build with Connected Ports
  - Inference
  - Scheduling Basics
    Scheduling Basics
    
    Over-Quota, Basic Fairness & Bin-Packing
    
    Queue Fairness
- Workloads in Run:ai
  Workloads in Run:ai
  - Introduction to Workloads
  - Workload Types
  - Workloads
  - Workload Assets
    Workload Assets
    
    Overview
    
    Environments
    
    Data Sources
    
    Data Volumes
    
    Compute Resources
    
    Credentials
  - Workload Templates
    Workload Templates
    
    Workspace Templates
  - Experiment Using Workspaces
    Experiment Using Workspaces
    
    Running Workspaces
    
    Quick Starts
    Quick Starts
    
    Running Jupyter Notebook Using Workspaces
  - Train Models Using Training
    Train Models Using Training
    
    Standard Training
    Standard Training
    
    Train Models Using a Standard Training Workload
    
    Quick Starts
    Quick Starts
    
    Run your First Standard Training
    
    Distributed Training
    Distributed Training
    
    Train Models Using a Distributed Training Workload
    
    Quick Starts
    Quick Starts
    
    Run your First Distributed Training
  - Deploy Models Using Inference
    Deploy Models Using Inference
    
    Overview
    
    Deploy a Custom Inference Workload
    
    Deploy Inference Workloads from Hugging Face
    
    Deploy Inference Workloads with NVIDIA NIM
- Command Line Interface
  Command Line Interface
  - CLI V2
    CLI V2
    
    Overview
    
    CLI Reference
    
    CLI Examples
    
    CLI Guides
    CLI Guides
    
    Set cluster authorization
  - CLI V1
    CLI V1
    
    Introduction
    
    runai attach
    
    runai bash
    
    runai config
    
    runai delete
    
    runai describe
    
    runai exec
    
    runai list
    
    runai login
    
    runai logout
    
    runai logs
    
    runai port-forward
    
    runai resume
    
    runai submit
    
    runai submit-dist mpi
    
    runai submit-dist pytorch
    
    runai submit-dist tf
    
    runai submit-dist xgboost
    
    runai suspend
    
    runai top node
    
    runai update
    
    runai version
    
    runai whoami
- Best Practices
  Best Practices
- Scheduling and resource optimization
  Scheduling and resource optimization
  - Scheduling
    Scheduling
    
    The Run:ai Scheduler concepts and principles
    
    How the Scheduler works
  - Resource Optimization
    Resource Optimization
    
    GPU Fractions
    
    Dynamic GPU Fractions
    
    Optimize performance with the Node Level Scheduler
    
    GPU Time-Slicing
    
    GPU Memory Swap
    
    Allocation of CPU and Memory
    
    Quick Starts
    Quick Starts
    
    Launching Workloads with GPU Fractions
    
    Launching Workloads with Dynamic GPU Fractions
    
    Launching Workloads with GPU Memory Swap
- Researcher Tools
  Researcher Tools
- Use Cases
Developer
Developer
- Overview
- User Applications
- API Authentication
- REST API
- Metrics
  Metrics
  - Metrics via API
  - (Deprecated) Metrics via Prometheus
- Kubernetes Workloads Integration

Table of contents

Enabling the V2 CLI
Installing the CLI
- Testing the installation
Configuring the CLI

Infrastructure Administrator
Installation
Researcher Setup

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