NVIDIA AI Enterprise Infra 7.2 Release Notes#

Release Highlights#

  • RTX PRO Blackwell Support - vGPU for Compute 19.2 adds support for NVIDIA RTX PRO 6000 Blackwell Server Edition on VMware vSphere 9.0.1

  • Infrastructure Updates - GPU Data Center Driver 580.95.05, DOCA-OFED v25.7.0, and Container Toolkit v1.18.0 for enhanced performance

  • Kubernetes Orchestration - GPU Operator v25.10.0, Network Operator v25.7.0, DPU Operator v25.7.1, and NIM Operator v3.0.1 for streamlined GPU workload management

  • Enterprise Management - Base Command Manager 11.25.08 for cluster provisioning and workload orchestration

What’s Included in NVIDIA AI Enterprise Infra 7.2#

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 (HGX B200, RTX PRO 6000), Hopper, Ada Lovelace, and Ampere architecture support

580.95.05

NVIDIA DOCA-OFED Driver for Networking

High-performance networking for InfiniBand and Ethernet

3.1.0

Virtualization

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

Enterprise GPU virtualization with RTX PRO 6000 Blackwell Server Edition support on VMware vSphere

19.2

Container Platform

NVIDIA Container Toolkit

GPU-accelerated container runtime

1.18.0

Kubernetes Operators

NVIDIA GPU Operator

Automated GPU software lifecycle management for Kubernetes

25.10.0

NVIDIA Network Operator

Streamlined networking for GPU workloads in Kubernetes

25.7.0

NVIDIA DPU Operator (DPF)

Integrated DOCA Platform Framework for BlueField DPU lifecycle management

25.7.1

NVIDIA NIM Operator

Simplified deployment and scaling of NVIDIA Inference Microservices

3.0.1

Cluster Management & Orchestration

NVIDIA Base Command Manager (BCM)

Enterprise cluster provisioning and workload orchestration

11.25.08

Compatibility and Support#

Refer to the NVIDIA AI Enterprise Infrastructure Support Matrix for:

  • Supported GPU architectures

  • Operating system compatibility

  • Hypervisor and orchestration platform versions

  • Cloud provider instance types