NVIDIA AI Enterprise Documentation#
This documentation covers the NVIDIA AI Enterprise Infrastructure Layer software — GPU and network drivers, Kubernetes operators, and NVIDIA vGPU for Compute.
For application-layer software, refer to Application Software. For enterprise support services, refer to Support.
Quick Start#
🆕 New to NVIDIA AI Enterprise? → Start with the Quick Start Guide to deploy your first AI workload in 30–60 minutes
⬆️ Upgrading from 4.8 or earlier? → Refer to What’s New in 4.9 in the following section
🔧 Need help with a specific task? → Jump to the Deployment Guide
🆕 What is New in NVIDIA AI Enterprise Infra 4.9#
Latest Release Highlights
Multi-Architecture GPU Support - GPU Data Center Driver 535.288.01 with support for Blackwell, Hopper, Ada Lovelace, and Ampere GPU architectures
NVSwitch Fabric Management - NVIDIA Fabric Manager 535.288.01 enables high-bandwidth, low-latency GPU-to-GPU communication for multi-GPU AI workloads
Enhanced vGPU Virtualization - vGPU for Compute 16.13 with improved MIG-backed vGPU configurations and enhanced live migration capabilities
Kubernetes Automation - GPU Operator 25.10.1 and Network Operator 25.10.0 for streamlined GPU infrastructure management
High-Performance Networking - DOCA-OFED Driver 3.2.0 for enhanced networking and infrastructure acceleration
Enterprise Management - Base Command Manager 11.31.0 for cluster provisioning and workload orchestration at scale