NVIDIA AI Enterprise

NVIDIA AI Enterprise is an end-to-end software platform for developing, deploying, and managing AI applications across cloud, data center, and edge environments. It delivers AI frameworks, NIM microservices, and SDKs through its Application Layer, and GPU drivers, Kubernetes operators, and cluster management tools through its Infrastructure Layer — each with independent release branches and lifecycle — plus enterprise support backed by SLAs.

What’s New in NVIDIA AI Enterprise

🆕 Interactive Support Matrix — A new web-based tool for checking supported configurations and compatibility for NVIDIA AI Enterprise infrastructure 7.x software. → Infrastructure Support Matrix

Overview

NVIDIA AI Enterprise consists of two software layers — each with its own release branches and lifecycle — plus built-in enterprise support:

🧰 Application Software

Tools for building and deploying AI solutions—generative AI, AI agents, physical AI, and domain-specific applications.

  • NVIDIA NIM and NeMo microservices — Optimized model serving and generative AI deployment
  • Inference and training runtimes — NVIDIA Triton Inference Server with multiple optimized backends
  • Domain-specific SDKs — Speech AI, computer vision, cybersecurity, and more

Application software is distributed through three release branch types: Feature Branch (FB) for latest
innovation, Production Branch (PB) for production stability, and Long-Term Support Branch (LTSB) for regulated environments requiring 36 months of API stability.

⚙️ Infrastructure Software

Tools for deploying, managing, and scaling AI compute resources across bare-metal, virtualized, and containerized environments.

  • Kubernetes operators — GPU Operator, Network Operator, DPU Operator (DPF), and NIM Operator for deployment and lifecycle management
  • GPU and network drivers — Support for bare-metal and virtualized configurations
  • Base Command Manager — Cluster provisioning and infrastructure monitoring

Infrastructure software is distributed through the Infrastructure Branch, which provides regular updates with 1-year support windows and can be designated as a Long-Term Support Branch (LTSB) for extended 3-year support.

AI Enterprise Overview

🛟 Enterprise Support

All NVIDIA AI Enterprise subscriptions include enterprise support:

  • Business Standard — Access to NVIDIA AI experts during local business hours, backed by service-level agreements
  • Business Critical (add-on) — 24/7 support coverage
  • Technical Account Manager (add-on) — Dedicated NVIDIA expert for strategic guidance

Getting Started with NVIDIA AI Enterprise

🚀New to NVIDIA AI Enterprise? — Start with the Quick Start Guide ➡️ then review the Software documentation to see what's included ➡️ then check the Lifecycle Policy for branch selection and compatibility.

Get up and running in 30–60 minutes. Covers account activation, software installation across three deployment paths (Bare Metal, Public Cloud, Virtualized), and running your first AI workload.
See everything included in your license. Maps every Application Layer component (AI frameworks, NIMs, SDKs) and Infrastructure Layer component (GPU drivers, operators) with direct links to NGC Catalog entries and standalone documentation.
Choose the right release branch and validate your infrastructure stack. Covers branch types (FB, PB, LTSB, Infrastructure), support timelines, and end-of-life schedules.

🧰 Application software includes AI frameworks, NVIDIA NIMs, domain SDKs, NVIDIA Omniverse, and pre-trained models — all included in your NVIDIA AI Enterprise license. Application software is distributed through three release branch types — Feature Branch (FB), Production Branch (PB), and Long-Term Support Branch (LTSB) — each offering a different balance of innovation speed, API stability, and support duration. Refer to the Lifecycle Policy, including the Choosing the Right Release Branch section, for more information.

For the full list of Application Layer components with NGC Catalog links and version details, see the Application Layer Software page.

Application Software Release Branches

Active Release Branches

Software Branch DocumentationDescriptionNGC CatalogCompatible Infra ReleaseFirst Planned ReleaseLast Planned ReleasePlanned EOL
Production Branch - October 2025 (PB 25h2)Delivers production-ready AI frameworks and SDKs with API stability and security for mission-critical applications, supported for 9 months.Production Branch (PB) on NGC CatalogInfra Release 7.xOctober 2025June 2026July 2026
Long-Term Support Branch 2 (LTSB 2)Provides long-term supported AI frameworks and SDKs with 36 months of API stability and security for highly regulated industries.Long Term Supported Branch (LTSB) on NGC CatalogInfra Release 4.x and 7.xNovember 2024August 2027October 2027

All Release Branches

Software Branch DocumentationCompatible Infra ReleaseFirst Planned ReleaseLast Planned ReleasePlanned EOL
Production Branch - May 2025 (PB 25h1)Infra Release 6.x and 7.xMay 2025December 2025January 2026
Production Branch - October 2024 (PB 24h2)Infra Release 5.x and 6.xOctober 2024June 2025July 2025
Production Branch - May 2024 (PB 24h1)Infra Release 4.x and 5.xMay 2024December 2024January 2025
Production Branch - October 2023 (PB 23h2)Infra Release 3.xOctober 2023June 2024July 2024
Long-Term Support Branch 1 (LTSB 1)Infra Release 1.xAugust 2021February 2024June 2024

⚙️ Infrastructure software includes GPU drivers, Kubernetes operators (NVIDIA GPU Operator, NVIDIA Network Operator, NVIDIA NIM Operator), NVIDIA Container Toolkit, and cluster management tools — all included in your NVIDIA AI Enterprise license. Infrastructure software is distributed through the Infrastructure Branch, which provides regular updates with 1-year support windows and can be designated as a Long-Term Support Branch (LTSB) for extended 3-year support. Refer to the Lifecycle Policy, including the Choosing the Right Release Branch section, for more information.

🆕 Interactive Support Matrix — A new web-based tool for checking supported configurations and compatibility for NVIDIA AI Enterprise infrastructure 7.x software. → Infrastructure Support Matrix

For the full list of Infrastructure Layer components with NGC Catalog links, version details, and the stack alignment diagram, see the Infrastructure Layer Software page.

Infrastructure Software Release Branches

Active Release Branches

Software Branch DocumentationDriver BranchLatest Driver in BranchRelease Branch DocumentationLatest Release in BranchLatest Release Date in BranchBranch EOL
NVIDIA AI Enterprise Infra 7.xR580580.126.09Long-Term Support7.4January 2026July 2028
NVIDIA AI Enterprise Infra 6.xR570570.211.01Feature and Production6.7January 2026March 2026
NVIDIA AI Enterprise Infra 4.xR535535.288.01Long-Term Support4.9January 2026July 2026

All Release Branches

Software Branch DocumentationDriver BranchLatest Driver in BranchRelease Branch DocumentationLatest Release in BranchLatest Release Date in BranchBranch EOL
NVIDIA AI Enterprise Infra 5.xR550550.144.02Feature and Production5.3January 2025April 2025
NVIDIA AI Enterprise Infra 3.xR525525.147.05Feature and Production3.3November 2023December 2023
NVIDIA AI Enterprise Infra 2.xR520520.61.05Feature2.3October 2022November 2022
NVIDIA AI Enterprise Infra 1.xR470470.256.02Long-Term Support1.9July 2024September 2024

Deployment Guides

This document provides guidance for deploying and running NVIDIA AI Enterprise in the Cloud. This resource can be used for understand system pre-requisites, installation and configuration.
This document provides insights into deploying NVIDIA AI Enterprise for VMware vSphere and serves as a technical resource for understanding system pre-requisites, installation, and configuration.
This document provides insights into deploying NVIDIA AI Enterprise on Bare Metal Servers and serves as a technical resource for understanding system pre-requisites, installation, and configuration.
This document provides insights into deploying NVIDIA AI Enterprise with Red Hat OpenShift on bare metal servers. This technical resource can be used for understanding system pre-requisites, installation, and configuration.
This document provides insights into deploying NVIDIA AI Enterprise with Red Hat OpenShift on VMware vSphere. This technical resource can be used for understanding system pre-requisites, installation, and configuration.
This document provides insights into deploying NVIDIA AI Enterprise on Red Hat Enterprise Linux with KVM Virtualization and serves as a technical resource for understanding system prerequisites, installation, and configuration.
NVIDIA RAPIDS Accelerator for Apache Spark enables data engineers to speed up Apache Spark 3 data science pipelines and AI model training while lowering infrastructure costs.
This guide aims to provide guidance on how to set up a high-performance multi-node cluster as virtual machines. Within this guide, you will become familiar with GPUDirect RDMA and ATS while using Docker as the platform for running high-performance multi-node Deep Learning Training. ATS is a VMware PCIe support enhancement in vSphere 7 Update 2. GPUDirect RDMA benefits from ATS and is certified and supported by NVIDIA AI Enterprise.
This solution guide outlines the creation of an AI pipeline on NVIDIA AI Enterprise by leveraging a Natural Language Processing use case example.

Reference Architecture

This reference architecture provides an example deployment of NVIDIA AI Enterprise software suite. It showcases a deployment with VMWare vShpere, and provides example workloads to showcase the platform’s capabilities. Topics such as hardware, network, and workload topologies will be discussed.
This sizing guide is intended to guide customers who want to implement NVIDIA AI Enterprise with NVIDIA-Certified Systems at scale.
This document outlines a reference architecture for a cost-effective, performant Kubernetes-as-a-Service to build out an infrastructure stack for large-scale AI training and inference workload in virtualized environments.

White Papers

The NVIDIA AI Factory for Government Reference Design is a purpose-built, full-stack architecture that enables federal agencies to deploy secure, scalable AI in mission-critical environments. Designed to meet stringent government requirements, it integrates NVIDIA accelerated computing, high-performance networking, NVIDIA-Certified Systems and Storage, Nemotron models, and NVIDIA AI Enterprise government-ready software with a broad partner ecosystem.
This white paper describes how NVIDIA is helping to accelerate the deployment of AI into government and regulated industries by providing a new secure baseline for NVIDIA AI Enterprise software.
This white paper details NVIDIA's commitment to securing the NVIDIA AI Enterprise software stack. It outlines the processes and measures NVIDIA takes to ensure container security.
This whitepaper outlines the essential components, integration strategies, and tools needed for enterprises to deploy robust, single-tenant AI solutions efficiently and securely with the help of ecosystem partners.
This white paper provides detailed guidance on configuring virtual machines (VMs) to support AI/ML workloads when a hypervisor layer is deployed on top of HGX systems.

🛟 NVIDIA AI Enterprise support resources cover enterprise-level support services, product-specific licensing terms, and version lifecycle policies.

Enterprise Support and Services

Access NVIDIA Enterprise Support including support tiers, response times, escalation processes, and how to open a support case. These resources apply to all NVIDIA AI Enterprise licensed products.

Covers support and services for potential and existing enterprise customers. Informational and non-binding reference.
Enterprise Services designed to increase uptime and improve ROI for NVIDIA AI Enterprise, including Support Services, Infrastructure Services, and Education Services.

Product Support and Licensing

Product-specific licensing agreements, support policies, and version lifecycle timelines for NVIDIA AI Enterprise. Review these to understand support levels, end-of-support dates, and license terms for individual products.

Covers entitlement, packaging, and licensing for NVIDIA Enterprise. Provides a quick reference to understand the product at a high level, including corresponding SKU information.