NVIDIA AI Enterprise Quick Start Guide

Type: Getting Started Guide Tags: NVIDIA, AI Enterprise, quick start, onboarding, NGC, enterprise account, deployment, verification Related: NVIDIA-AI-Enterprise, NVIDIA-AI-Enterprise-Software, NVIDIA-AI-Enterprise-Infrastructure-Support-Matrix, NVIDIA-Enterprise-Licensing-Guide, NVIDIA-Enterprise-Support-and-Services, NGC, NVIDIA-NGC-Catalog, NVIDIA-Certified-Systems, NVIDIA-DGX, NVIDIA-Data-Center-GPU-Drivers, NVIDIA-Container-Toolkit, NVIDIA-Base-Command-Manager, NVIDIA-vGPU, NVIDIA-MIG, NVIDIA-AI-Enterprise-Bare-Metal-Deployment, NVIDIA-AI-Enterprise-VMware-Deployment, NVIDIA-AI-Enterprise-Cloud-Deployment, NVIDIA-Omniverse, NVIDIA-Run-ai, NVIDIA-Run-ai-Support-and-Lifecycle Sources: https://docs.nvidia.com/ai-enterprise/release-7/7.4/getting-started/quick-start-guide.html, https://docs.nvidia.com/ai-enterprise/release-7/7.4/index.html, https://docs.nvidia.com/ai-enterprise/index.html Last Updated: 2026-04-29

Summary

NVIDIA AI Enterprise Quick Start Guide is the current NVIDIA onboarding path for getting AI Enterprise running in roughly 30-60 minutes. It covers enterprise account activation, entitlement certificates, NGC access, AI Enterprise software and infrastructure collections, Omniverse and Run:ai access, container image pulls, deployment-type selection, basic bare-metal driver/container-toolkit validation, VMware/vGPU licensing pointers, public-cloud VMI activation, and where to go next.

Detail

Purpose

Use this page when a question asks how to begin with AI Enterprise, activate accounts, find NGC software, choose the first deployment path, or verify that GPU-accelerated containers work. Use the deployment-specific pages for complete installation details after the quick-start path has identified the target environment.

Onboarding flow

  • Confirm hardware/software prerequisites, including NVIDIA-Certified Systems where required and supported NVIDIA GPUs.
  • Activate an NVIDIA Enterprise Account from the entitlement certificate or link an evaluation account to purchased licenses.
  • Use the NVIDIA Application Hub to access NGC, the Enterprise Support Portal, and the NVIDIA Licensing Portal.
  • Access AI Enterprise application software in the NGC AI Enterprise Software Suite.
  • Access AI Enterprise infrastructure software in the current AI Enterprise Infra collection.
  • Access Omniverse through NGC; AI Enterprise includes Omniverse in the application layer.
  • Access Run:ai self-hosted through its own NGC collection; Run:ai SaaS is separate from the AI Enterprise license.
  • Pull container images with NGC credentials and generate/use an NGC API key when needed.
  • Select bare-metal, virtualized, or public-cloud deployment guidance.

First deployment checkpoints

  • Bare metal: install the NVIDIA data center driver, verify nvidia-smi, install/configure the NVIDIA Container Toolkit, and verify GPU access from a CUDA container.
  • Bare metal cluster operations: obtain NVIDIA-Base-Command-Manager through the entitlement-driven process when needed.
  • VMware: use vGPU for Compute host/guest software and NVIDIA License System setup, then follow the VMware deployment guide.
  • Public cloud: use an AI Enterprise VMI path, activate the subscription/token with NGC, generate an API key, and pull/run AI Enterprise containers.

NVIDIA context

This page is the first-run entry point. It connects account/licensing setup, NGC access, and minimal validation before sending users to NVIDIA-AI-Enterprise-Software, NVIDIA-AI-Enterprise-Lifecycle-Policy, and the deployment guides.

Connections

Source Excerpts

  • The quick-start guide says it gets AI Enterprise running in about 30-60 minutes.
  • The guide routes users through enterprise account activation, NGC catalog access, software installation, and GPU container verification.
  • The guide distinguishes Run:ai self-hosted as included with AI Enterprise while Run:ai SaaS remains separate.

Resources