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aiq-deploy

Community

Deploy AI-Q infrastructure quickly and safely.

Software Engineering#deployment#validation#backend#infrastructure#credentials#docker-compose#aiq
Authorsayalinvidia
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a repeatable, safe path to install, deploy, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure for AI research workflows, reducing setup time and human error.

Core Features & Use Cases

  • Backend-focused deployment path for aiq-research.
  • Supports multiple deployment modes (backend-only, UI, CLI, and Kubernetes/Helm) with guided prerequisites and basic validation.
  • Handles credential checks and health validation to hand off a ready server URL to aiq-research.

Quick Start

Launch the Skill backend using the AI-Q deployment flow and run the basic validation to obtain the AIQ_SERVER_URL.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: aiq-deploy
Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#aiq-deploy

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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