Runway 2.0 Guide Structure¶
Runway is an AI operation environment designed to enable you to configure, deploy, and operate AI/ML workloads in a consistent manner on a standardized operational framework. Built on Kubernetes, it supports the entire lifecycle from model development to production deployment and monitoring.
This is the complete table of contents for the Runway 2.0 user guide. Click on any section to navigate to the desired topic.
-
Getting Started
A guide for first-time Runway users. Step-by-step instructions from core platform concepts to login and setting up your first development environment.
Understanding Runway
Quick Start Guide
-
Development
Instructions on how to configure and manage AI/ML development environments. Covers everything needed for development, including application deployment and storage management.
- Application Overview
- Provided Applications Introduction
- Application Interconnection Flow
- Understanding Helm Charts
- Application Creation Overview
- Viewing Platform Apps
- Deploying Catalog Apps
- Deploying Custom Apps
- GPU Configuration Guide
-
Operations
Instructions on how to deploy and operate trained models in production. Covers model serving, resource monitoring, and more.
- Model Serving Overview
- Creating and Managing Endpoints
- Model Deployment and Strategies
- Managing Deployed Models
- Inference Requests
-
Management
Instructions on how to manage accounts, projects, workspaces, and the platform. Covers all aspects of management tasks including user permissions and resource allocation.
- Project Management Overview
- Managing Project Users
- Managing Project Roles
- Changing Project Resources
- Changing Project Name
- Deleting Projects
- Workspace Management Overview
- Creating Projects
- Managing Workspace Users
- Managing Workspace Roles
- Workspace General Settings