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NVIDIA AI Enterprise Infra 7.4 Release Notes#

Release Highlights#

  • Blackwell Architecture Support - NVIDIA GPU Data Center Driver 580.126.09 adds support for the latest Blackwell GPU architecture

  • vGPU for Compute Updates - Enhancements and bug fixes based on vGPU Software 19.4

  • Updated Kubernetes Operators - GPU Operator 25.10.1, Network Operator 25.10.0, DPU Operator 25.10.1, and NIM Operator 3.0.2 deliver improved lifecycle automation and streamlined deployment for GPU workloads

  • DOCA Ecosystem Updates - DOCA-OFED Driver 3.2.0 and DOCA Microservices 3.2.1 provide enhanced networking performance and infrastructure acceleration for data-intensive workloads

  • Enterprise Management - Base Command Manager 11.31.0 offers refined cluster provisioning and workload orchestration for large-scale AI infrastructure

  • Fabric Manager Support - NVIDIA Fabric Manager supported in GPU Passthrough and vGPU for Compute deployment modes

  • Interactive Support Matrix - New web-based support matrix tool for exploring infrastructure compatibility across releases 7.0-7.4 with progressive filtering, cross-version comparison, and dynamic search capabilities

What’s Included in NVIDIA AI Enterprise Infra 7.4#

Complete list of infrastructure components with versions and documentation links:

Table 1 Supported Infrastructure Software#

Product

Description

Version

Core Infrastructure Drivers

NVIDIA GPU Data Center Driver

GPU driver with Blackwell, Hopper, Ada Lovelace, and Ampere architecture support

580.126.09

NVIDIA Fabric Manager

Manages NVSwitch fabric to enable high-bandwidth, low-latency GPU-to-GPU communication for multi-GPU AI workloads

580.126.09

NVIDIA DOCA-OFED Driver for Networking

High-performance networking for InfiniBand and Ethernet

3.2.0

Virtualization

NVIDIA vGPU for Compute (Virtual GPU Manager and Guest Drivers)

Enterprise GPU virtualization with advanced monitoring and management capabilities, enabling multiple VMs to run AI workloads with near bare metal performance

19.4

Container Platform

NVIDIA Container Toolkit

GPU-accelerated container runtime

1.18.1

Kubernetes Operators

NVIDIA GPU Operator

Automated GPU software lifecycle management for Kubernetes

25.10.1

NVIDIA Network Operator

Streamlined networking for GPU workloads in Kubernetes

25.10.0

NVIDIA DPU Operator (DPF)

Integrated DOCA Platform Framework for BlueField DPU lifecycle management

25.10.1

NVIDIA NIM Operator

Simplified deployment and scaling of NVIDIA Inference Microservices in Kubernetes

3.0.2

Data Center Services

NVIDIA DOCA Microservices

Infrastructure acceleration services for data-intensive workloads

3.2.1

Cluster Management & Orchestration

NVIDIA Base Command Manager (BCM)

Enterprise cluster provisioning and workload orchestration

11.31.0

Compatibility and Support#

New: Interactive Support Matrix

Starting with release 7.4, an interactive web-based support matrix tool is available to explore infrastructure compatibility across releases 7.0-7.4. The interactive tool provides:

  • Cross-Version Comparison - Compare supported configurations across multiple releases in a single view

  • Progressive Filtering - Cascading filters guide you through deployment type, operating system, hypervisor, and orchestration options

  • Dynamic Search - Filter by GPU architecture, platform type, Kubernetes distribution, cloud provider, and more

  • Interactive Footnotes - Hover over footnote markers for instant context without scrolling

  • Version Badges - Visual indicators show exactly which releases support each configuration

Access the interactive tool at: https://docs.nvidia.com/ai-enterprise/release-7/latest/support-matrix/

The traditional static support matrix remains available for deep linking, printing, and offline reference at NVIDIA AI Enterprise Infrastructure Support Matrix.

Support Matrix Contents

Both the interactive tool and static reference provide comprehensive compatibility information for:

  • Supported GPU architectures (Blackwell, Hopper, Ada Lovelace, Ampere, Turing, Volta)

  • Operating system compatibility (Ubuntu, RHEL, SLES, Debian, Windows Server)

  • Hypervisor and orchestration platform versions (VMware, KVM, Nutanix, Kubernetes distributions)

  • Cloud provider instance types (AWS, Azure, GCP, OCI, Alibaba, Tencent, Volcano Engine)

  • Networking hardware (ConnectX NICs, BlueField SuperNICs/DPUs)