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NVIDIA AI Enterprise Documentation#

NVIDIA AI Enterprise is a cloud-native suite of AI tools, libraries, and frameworks for production AI deployments. This documentation covers deployment, configuration, and optimization across bare-metal, virtualized, and cloud environments.

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 6.6 or earlier? → Refer to What’s New in 6.7 in the following section

  • 🔧 Need help with a specific task? → Jump to the Deployment Guide

🆕 What’s New in NVIDIA AI Enterprise Infra 6.7#

Latest Release Highlights

  • Multi-Architecture GPU Support - NVIDIA GPU Data Center Driver 570.211.01 with support for Blackwell, Hopper, Ada Lovelace, and Ampere GPU architectures

  • NVSwitch Fabric Management - NVIDIA Fabric Manager 570.211.01 enables high-bandwidth, low-latency GPU-to-GPU communication for multi-GPU AI workloads

  • Enhanced Virtualization - NVIDIA vGPU for Compute updates and bug fixes from vGPU Software 18.6

  • Kubernetes Automation - GPU Operator 25.10.1, Network Operator 25.10.0, and NIM Operator 3.0.2 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

View 6.7 Release Notes

What You’ll Find Here#

  • 🚀 Getting Started - Account activation, software installation, and first workload deployment

  • ⚙️ Infrastructure Software - NVIDIA vGPU for Compute configuration, licensing, and management

  • 📊 Support - Platform compatibility matrices and release information

  • 📝 Overview - Release notes and version information

  • 📖 Glossary - Key terms and concepts explained

Previous Releases#

📋 Release 6.6 Highlights

  • GPU Infrastructure - NVIDIA GPU Data Center Driver 570.195.03 provides enhanced GPU acceleration and management capabilities for Hopper, Ada Lovelace, and Ampere architectures

  • Enhanced Virtualization - vGPU for Compute 18.5 delivers improved enterprise GPU virtualization with enhanced performance and management capabilities

  • Advanced Networking - DOCA-OFED Driver 25.7.0 (DOCA 3.1.0) provides upgraded networking performance for InfiniBand and Ethernet

  • Kubernetes Orchestration - GPU Operator 25.3.4, Network Operator 25.7.0, and NIM Operator 2.0.1 enable streamlined deployment and lifecycle management for GPU workloads

  • Enterprise Management - Base Command Manager 11.25.05 for cluster provisioning and workload orchestration

View 6.6 Release Notes

📋 Release 6.5 Highlights

  • GPU Infrastructure - NVIDIA GPU Data Center Driver 570.172.08 provides enhanced GPU acceleration and management capabilities for Hopper, Ada Lovelace, and Ampere architectures

  • Enhanced Virtualization - vGPU for Compute 18.4 delivers improved enterprise GPU virtualization with enhanced performance and management capabilities

  • Kubernetes Orchestration - GPU Operator 25.3.2, Network Operator 25.4.0, and NIM Operator 2.0.1 enable streamlined deployment and lifecycle management for GPU workloads

  • Networking Performance - DOCA-OFED Driver 25.4.0 (DOCA 3.0.0) for high-performance InfiniBand and Ethernet networking

  • Enterprise Management - Base Command Manager 11.25.05 and 10.25.03 for cluster provisioning and workload orchestration

View 6.5 Release Notes

📋 Release 6.4 Highlights

  • Expanded Platform Support - Added support for Red Hat Enterprise Linux (RHEL) with KVM versions 9.6 and 10, and VMware vSphere (ESXi) version 9.0

  • GPU Infrastructure - NVIDIA GPU Data Center Driver 570.158.01 provides enhanced GPU acceleration and management capabilities

  • Kubernetes Orchestration - GPU Operator 25.3.1, Network Operator 25.4.0, and NIM Operator 2.0.0 deliver streamlined deployment and lifecycle management for GPU workloads

  • Networking Performance - DOCA-OFED Driver 25.4.0 (DOCA 3.0.0) for high-performance InfiniBand and Ethernet networking

  • Virtualization - vGPU for Compute 18.3 enables enterprise GPU virtualization across supported hypervisors

  • Platform Lifecycle - Discontinued support for RHEL with KVM versions 8.8, 9.2, and 9.5 as part of standard lifecycle management

View 6.4 Release Notes

📋 Release 6.3 Highlights

  • GPU Infrastructure - NVIDIA GPU Data Center Driver 570.148.08 provides enhanced GPU acceleration and management capabilities for Hopper, Ada Lovelace, and Ampere architectures

  • Enhanced Virtualization - vGPU for Compute 18.2 delivers improved enterprise GPU virtualization with enhanced performance and management capabilities

  • Kubernetes Orchestration - GPU Operator 25.3.0, Network Operator 25.1.0, and NIM Operator 2.0.0 enable streamlined deployment and lifecycle management for GPU workloads

  • Networking Performance - DOCA-OFED Driver 25.1.0 (DOCA 2.10.0) for high-performance InfiniBand and Ethernet networking

  • Enterprise Management - Base Command Manager 10.25.03 for cluster provisioning and workload orchestration

View 6.3 Release Notes

📋 Release 6.2 Highlights

  • Blackwell Platform Support - R570 Data Center Driver and GPU Operator add support for NVIDIA HGX GB200 NVL72 and NVIDIA HGX B200 platforms

  • GPU Infrastructure - NVIDIA GPU Data Center Driver provides enhanced GPU acceleration and management capabilities for Hopper, Ada Lovelace, and Ampere architectures

  • Kubernetes Orchestration - GPU Operator and Network Operator enable streamlined deployment and lifecycle management for GPU workloads

  • Networking Performance - DOCA-OFED Driver for high-performance InfiniBand and Ethernet networking

  • Enterprise Management - Base Command Manager for cluster provisioning and workload orchestration

  • Platform Lifecycle Notice - Final release supporting vGPU C-Series drivers for VMware vSphere 7.x platform. VMware vSphere 7.x reaches End of Service (EoS) on October 2, 2025. For continued support, upgrade to a newer vSphere version. See VMware EoS announcement

View 6.2 Release Notes

📋 Release 6.1 Highlights

  • H200 Platform Support - Added support for vGPU H200 NVL and H200 HGX configurations

  • GPU Infrastructure - NVIDIA GPU Data Center Driver 570.124.06 provides enhanced GPU acceleration and management capabilities for Hopper, Ada Lovelace, and Ampere architectures

  • Kubernetes Orchestration - GPU Operator 24.9.2, Network Operator 25.1.0, and NIM Operator 1.0.1 enable streamlined deployment and lifecycle management for GPU workloads

  • Networking Performance - DOCA-OFED Driver 25.1.0 (DOCA 2.10.0) for high-performance InfiniBand and Ethernet networking

  • Enterprise Virtualization - vGPU for Compute 18.0 delivers enterprise GPU virtualization capabilities

  • Enterprise Management - Base Command Manager 10.24.11a for cluster provisioning and workload orchestration

View 6.1 Release Notes

📋 Release 6.0 Highlights

  • R570 Driver Support - NVIDIA GPU Data Center Driver 570.86.15 provides GPU acceleration and management capabilities for Hopper, Ada Lovelace, and Ampere architectures

  • Kubernetes Orchestration - GPU Operator 24.9.2, Network Operator 24.10.1, and NIM Operator 1.0.1 enable streamlined deployment and lifecycle management for GPU workloads

  • Networking Performance - DOCA-OFED Driver 24.10 (DOCA 2.9.1) for high-performance InfiniBand and Ethernet networking

  • Container Platform - Container Toolkit 1.17.4 for GPU-accelerated container runtime

  • Enterprise Management - Base Command Manager 10.24.11 for cluster provisioning and workload orchestration

  • Virtualization Notice - This release does not support vGPU software. Support for vGPU 18.0 software will be introduced in NVIDIA AI Enterprise 6.1 Infra release

View 6.0 Release Notes