AI Workbench Application Configuration Reference Pages#
This section covers the technical architecture and configuration details of the AI Workbench application itself. You’ll find information about system components, networking, security settings, and maintenance operations. Use these pages when you need to understand how AI Workbench works under the hood, configure advanced settings, or troubleshoot application-level issues.
The AI Workbench application consists of multiple integrated components:
Service Manager (also called the server)
These components work together to provide a seamless development experience across local and remote locations. Most configuration happens automatically, but this section documents the options available when you need fine-grained control over container runtimes, certificates, proxy settings, or application appearance.
You’ll also find reference material on updating and uninstalling AI Workbench across different operating systems. Each platform (Windows, macOS, Ubuntu) has specific procedures for managing the application lifecycle. For day-to-day project work, you typically won’t need these pages, but they’re essential when managing your AI Workbench installation or diagnosing system-level problems.
What’s Covered?#
The AI Workbench application configuration reference pages are grouped into the following topics:
Topic Name |
Description |
|---|---|
System architecture and components (server, CLI, Desktop App, credential manager). |
|
Application settings and integrations (NGC, GitHub, GitLab, Brev). |
|
Container runtime configuration (Docker vs Podman). |
|
Network proxy configuration. |
|
Custom certificate authority support. |
|
UI customization (dark mode, system theme). |