NVIDIA AI Enterprise Software#
Quick Start#
📦 What’s in my license? → See Overview for a high-level architecture of the Application and Infrastructure Layers
🧰 Application Layer components → Jump to Application Layer Software for AI frameworks, NVIDIA NIMs, SDKs, and pre-trained models
🔧 Infrastructure Layer components → Jump to Infrastructure Layer Software for GPU drivers, Kubernetes operators, and cluster management tools
📋 Check supported configurations → See the Infrastructure Support Matrix to verify hardware and software compatibility for your deployment
🆕 What’s New in NVIDIA AI Enterprise Software#
Software Documentation Updates
Decoupled Layers — Application and Infrastructure Layers follow independent release cadences. You can adopt new AI frameworks without changing your infrastructure, and upgrade drivers without affecting application workloads.
Interactive Support Matrix — Infrastructure software support matrices for the 7.x branch are now available as an interactive tool with filtering, version comparison, and dynamic badges.
Before You Begin#
The NVIDIA AI Enterprise Software documentation maps every component included in your license. Here’s where it fits in your journey and how to use it.
âś… What you should have completed before arriving here:
Account activated — You’ve redeemed your Entitlement Certificate, created your NVIDIA Enterprise Account, and have access to the NVIDIA NGC Catalog, the Support Portal, and the Licensing Portal. If not, start with the Quick Start Guide.
Infrastructure running (or planned) — You’ve installed NVIDIA GPU drivers and the NVIDIA Container Toolkit, or you’re planning your deployment. If not, the Quick Start Guide covers three deployment paths: Bare Metal, Virtualized (vGPU), and Public Cloud.
đź“Ť What to do here (NVIDIA AI Enterprise Software):
Discover what’s included — Review the Overview to understand the two-layer architecture and how Application and Infrastructure components work together.
Browse Application Layer components — Use the Application Layer Software tables to find AI frameworks, NVIDIA NIMs, domain SDKs, and pre-trained models — with direct links to NGC Catalog entries and product documentation.
Browse Infrastructure Layer components — Use the Infrastructure Layer Software tables to find GPU drivers, Kubernetes operators (NVIDIA GPU Operator, NVIDIA Network Operator, NVIDIA NIM Operator), and cluster management tools.
Check supported configurations — Use the Infrastructure Support Matrix to verify that your hardware, OS, hypervisor, and orchestration platform are supported for your target infrastructure release.
Find NGC Catalog links — Every component table includes direct links to the corresponding NGC Catalog page for downloading containers, Helm charts, and collections.
➡️ Where to go next:
If you need to… |
Go to |
Why |
|---|---|---|
Choose a release branch or check version compatibility |
Defines branch types (FB, PB, LTSB, Infrastructure), support periods, and includes the Interactive Lifecycle and Compatibility Explorer |
|
Deploy NVIDIA GPU Operator, NVIDIA Network Operator, or NVIDIA DPU Operator (DPF) |
NVIDIA GPU Operator Documentation · NVIDIA Network Operator Documentation · NVIDIA DPU Operator (DPF) Documentation |
Standalone documentation sites for Kubernetes operator installation and configuration |
Set up NVIDIA NIM, NVIDIA NeMo, or other AI frameworks |
NVIDIA NIM Documentation · NVIDIA NeMo Documentation · NVIDIA NGC Catalog |
Each component has its own documentation site; the NVIDIA NGC Catalog lists all supported software |
Get started from scratch (account, drivers, first workload) |
Guides you through account activation, software installation, and running your first AI workload in 30–60 minutes |
|
Plan a deployment architecture |
Reference architectures, sizing guides, and deployment blueprints |
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Check licensing or open a support case |
NVIDIA Enterprise Support Services |