NVIDIA AI Enterprise Infra 4.9 Support Matrix

Use this support matrix to verify your infrastructure is compatible with NVIDIA AI Enterprise release 4.9. This page provides comprehensive compatibility information for GPUs, operating systems, hypervisors, orchestration platforms, and cloud providers.

How to Use This Matrix

1. Identify your deployment type - On-premises (bare metal or virtualized) or public cloud

2. Verify your GPU - Check the Supported GPUs section

3. Confirm your platform - Match your OS, hypervisor, and orchestration platform

4. Check software versions - Ensure your infrastructure software versions are supported

Quick Navigation

• Supported GPUs and Networking - GPU and network card compatibility

• Bare Metal Deployments - Kubernetes and standalone containers on physical servers

• Virtualized Deployments - Hypervisor and guest OS combinations

• Public Cloud - Managed Kubernetes and standard GPU instances

• Base Command Manager - Cluster management platform support

Requirements

For NVIDIA AI Enterprise to be supported, ensure you meet the following requirements.

On-Premises Servers

1. GPU supported by NVIDIA AI Enterprise (and optionally a supported networking card)

2. NVIDIA-Certified Systems

3. Supported infrastructure management software - bare-metal or virtualized (OS, orchestration platform, hypervisor)

Cloud Servers

1. Supported orchestration platform

2. Supported virtual machine instance - standard or optimized

Supported NVIDIA Infrastructure Software

Table 2 Supported Infrastructure Software

Product	Version	x86	ARM
Core Infrastructure Drivers
NVIDIA GPU Data Center Driver	535.288.01	Supported	Supported
NVIDIA Fabric Manager	535.288.01	Supported	Supported
NVIDIA DOCA-OFED Driver for Networking	3.2.0	Supported	Supported
Virtualization
NVIDIA vGPU for Compute (Virtual GPU Manager and Guest Drivers)	16.13	Supported	N/A
Container Platform
NVIDIA Container Toolkit	1.18.1	Supported	Supported
Kubernetes Operators
NVIDIA GPU Operator	25.10.1	Supported	Supported
NVIDIA Network Operator	25.10.0	Supported	Supported
Cluster Management & Orchestration
NVIDIA Base Command Manager (BCM)	11.25.05	Supported	Supported

Supported NVIDIA GPUs and Networking

NVIDIA AI Enterprise is supported on the following NVIDIA GPUs with compatible third-party servers listed on the NVIDIA-Certified Systems page.

Specific NVIDIA AI Enterprise-supported products may not support all operating systems or GPUs. Refer to the individual product release notes for discrepancies.

Note

For HGX support information, refer to the Supported Platforms section.

NVIDIA Hopper

• NVIDIA H800

• NVIDIA H800 NVL

• NVIDIA H200 NVL

• NVIDIA H100

• NVIDIA H100 NVL

• NVIDIA H20

NVIDIA Ada Lovelace

• NVIDIA L40S

• NVIDIA L40

• NVIDIA L20

• NVIDIA L4

• NVIDIA L2

• NVIDIA RTX 6000 Ada Generation

• NVIDIA RTX 5880 Ada Generation

• NVIDIA RTX 5000 Ada Generation

• NVIDIA RTX 4000 SFF Ada Generation

NVIDIA Ampere

• NVIDIA A800

• NVIDIA AX800

• NVIDIA A100X

• NVIDIA A100

• NVIDIA A40

• NVIDIA A30X

• NVIDIA A30

• NVIDIA A16

• NVIDIA A10

• NVIDIA A10G

• NVIDIA A10M

• NVIDIA A2

• NVIDIA RTX A6000

• NVIDIA RTX A5000

• NVIDIA RTX A4000

NVIDIA Turing

• NVIDIA T4

• NVIDIA T4G

• NVIDIA Quadro RTX 8000

• NVIDIA Quadro RTX 6000

• NVIDIA Quadro RTX 4000

NVIDIA Volta

• NVIDIA V100

Multi-node requires an Ethernet NIC that supports RoCE. NVIDIA recommends using an NVIDIA Mellanox ConnectX and an NVIDIA GPU.

Table 3 Supported Ethernet NICs and SuperNICs

Product Family	Architecture
NVIDIA ConnectX-6 NIC	NVIDIA ConnectX-6
NVIDIA ConnectX-6 Dx NIC	NVIDIA ConnectX-6 Dx
NVIDIA ConnectX-7 NIC	NVIDIA ConnectX-7
NVIDIA ConnectX-8 NIC	NVIDIA ConnectX-8
NVIDIA BlueField-3 SuperNIC	NVIDIA BlueField-3

Supported Platforms

NVIDIA AI Enterprise is supported on NVIDIA DGX servers in bare-metal deployments with the NVIDIA data center driver for Linux included in the DGX OS software.

Note

DGX platforms, HGX platforms with KVM hypervisors, and IGX Orin are not supported with NVIDIA vGPU for Compute. For NVIDIA IGX licensing information, refer to the NVIDIA AI Enterprise Licensing Documentation.

Table 4 Supported Platforms

Accelerated Platform	Architecture
NVIDIA DGX H100	NVIDIA Hopper
NVIDIA HGX H100	NVIDIA Hopper
NVIDIA HGX H800	NVIDIA Hopper
NVIDIA HGX H200	NVIDIA Hopper
NVIDIA HGX H20	NVIDIA Hopper
NVIDIA IGX Orin [1]	NVIDIA Ada Lovelace
NVIDIA DGX A100	NVIDIA Ampere
NVIDIA HGX A100	NVIDIA Ampere
NVIDIA HGX A800	NVIDIA Ampere

Bare Metal Deployments

Use the following tables to verify compatibility for NVIDIA AI Enterprise on dedicated physical servers.

What’s Covered

• Kubernetes-orchestrated containers with supported distributions (Charmed, Red Hat OpenShift, SUSE RKE2, Upstream Kubernetes)

• Standalone Docker/Podman containers on Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu

• GPU Operator, Network Operator, and DPU Operator support by platform

Table 5 Containers Orchestrated with Kubernetes on Bare Metal

Orchestration Platform			Operating System		NVIDIA AI Enterprise Infrastructure Support
Name	Versions	Engine	Name	Versions	GPU Operator	Network Operator	GPU Driver Support [2]
Charmed Kubernetes	1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	vGPU Guest/Data Center
HPE Ezmeral Runtime Enterprise	5.6	Containerd	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4, 9.6	Supported	N/A	vGPU Guest/Data Center
Nutanix NKP	2.12, 2.13	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	vGPU Guest/Data Center
Red Hat OpenShift [3] [6]	4.16 - 4.20	CRI-O	Red Hat CoreOS	4.16 - 4.20	Supported	Supported	vGPU Guest/Data Center
SUSE RKE2	1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	vGPU Guest/Data Center
SUSE RKE2	1.30 - 1.34	Containerd	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4, 9.6	Supported	Supported	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4, 9.6	Supported	Supported	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	CRI-O	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4, 9.6	Supported	Supported	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	CRI-O	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	N/A	vGPU Guest/Data Center

Table 6 Standalone Containers on Bare Metal

Container		Operating System		NVIDIA AI Enterprise Infrastructure Support
Name	Engine	Name	Versions	GPU Operator	Network Operator	GPU Driver Support [2]
Non-Kubernetes (standalone containers)	Docker/Podman	Red Hat Enterprise Linux	7.9, 8.6, 8.8, 8.10, 9.2, 9.4, 9.6	N/A	N/A	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	SUSE Linux Enterprise Server	15 SP2 and later	N/A	N/A	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	N/A	N/A	vGPU Guest/Data Center

Virtualized Deployments

Use the following tables to verify compatibility for NVIDIA AI Enterprise in virtualized environments with NVIDIA vGPU for Compute.

What’s Covered

• Kubernetes-orchestrated containers on VMware vSphere, Red Hat KVM, Ubuntu KVM, and Nutanix AHV

• Standalone Docker/Podman containers with supported hypervisor and guest OS combinations

• Non-containerized applications on supported hypervisors with vGPU

• Both vGPU and GPU passthrough modes (where applicable)

Table 7 Containers Orchestrated with Kubernetes on Virtualized Environments

Orchestration Platform			Guest Operating System		Hypervisor		NVIDIA AI Enterprise Infrastructure Support
Name	Versions	Engine	Name	Versions	Name	Versions	GPU Operator	Network Operator	GPU Driver Support (inside the virtual machine)
									vGPU	Passthrough [4]
Charmed Kubernetes	1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Ubuntu [5] [8]	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Charmed Kubernetes	1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	VMware vSphere	8.0 and later	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Nutanix NKP	2.12, 2.13	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Nutanix AOS/AHV [5] [7] [8]	6.5 - 6.10	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Red Hat OpenShift [6]	4.16 - 4.20	CRI-O	Red Hat CoreOS	4.16 - 4.20	Red Hat Enterprise Linux [5] [8]	8.10, 9.4, 9.5, 9.6, 9.7	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Red Hat OpenShift [6]	4.16 - 4.20	CRI-O	Red Hat CoreOS	4.16 - 4.20	VMware vSphere	8.0 and later	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd, CRI-O	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4, 9.5, 9.6, 9.7	Red Hat Enterprise Linux [5] [8]	8.10, 9.4, 9.5, 9.6, 9.7	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd, CRI-O	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4, 9.5, 9.6, 9.7	VMware vSphere	8.0 and later	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd, CRI-O	Red Hat Enterprise Linux	8.6, 8.8, 8.10, 9.4,9.5, 9.6, 9.7	Nutanix AOS/AHV [5] [7] [8]	6.5 - 6.10	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd, CRI-O	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Ubuntu [5] [8]	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd, CRI-O	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	VMware vSphere	8.0 and later	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
Upstream Kubernetes	1.30 - 1.34	Containerd, CRI-O	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Nutanix AOS/AHV [5] [7] [8]	6.5 - 6.10	Supported	Supported	vGPU Guest	vGPU Guest/Data Center
VMware vSphere Kubernetes Service	VMware K8 1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	VMware vSphere	8.0 and later	Supported	N/A	vGPU Guest	vGPU Guest/Data Center

Table 8 Standalone Containers on Virtualized Environments

Container		Guest Operating System		Hypervisor		NVIDIA AI Enterprise Infrastructure Support
Name	Engine	Name	Versions	Name	Versions	GPU Operator	Network Operator	GPU Driver Support (inside the virtual machine)
								vGPU	Passthrough [4]
Non-Kubernetes (standalone containers)	Docker/Podman	Red Hat Enterprise Linux	7.9, 8.6, 8.8, 8.10, 9.2, 9.4, 9.5, 9.6, 9.7	Red Hat Enterprise Linux [5]	8.10, 9.4, 9.5, 9.6, 9.7	N/A	N/A	vGPU Guest	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	Red Hat Enterprise Linux	7.9, 8.6, 8.8, 8.10, 9.2, 9.4, 9.5, 9.6, 9.7	VMware vSphere	8.0 and later	N/A	N/A	vGPU Guest	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	SUSE Linux Enterprise Server	15 SP2 and later	VMWare vSphere	8.0 and later	N/A	N/A	vGPU Guest	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Ubuntu [5] [8]	20.04 LTS, 22.04 LTS, 24.04 LTS	N/A	N/A	vGPU Guest	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	VMware vSphere	8.0 and later	N/A	N/A	vGPU Guest	vGPU Guest/Data Center
Non-Kubernetes (standalone containers)	Docker/Podman	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Nutanix AOS/AHV [5] [7] [8]	6.5 - 6.10	N/A	N/A	vGPU Guest	vGPU Guest/Data Center

Table 9 Non-containerized Applications on Hypervisors and Guest Operating Systems Supported with vGPU

Hypervisor		Guest Operating System		NVIDIA AI Enterprise Infrastructure Support
Name	Versions	Name	Versions	vGPU
VMware ESX	ESXi 8.0 and later	Debian	12	vGPU Guest
VMware ESX	ESXi 8.0 and later	Red Hat Enterprise Linux	8.10, 9.4, 9.6	vGPU Guest
VMware ESX	ESXi 8.0 and later	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	vGPU Guest
VMware ESX	ESXi 8.0 and later	SUSE Linux Enterprise Server	12 SP3+, 12 SP5, 15 SP2	vGPU Guest
VMware ESX	ESXi 8.0 and later	Microsoft Windows	Server 2022, Windows 10, Windows 11	vGPU Guest
Ubuntu [5] [8]	20.04 LTS, 22.04 LTS, 24.04 LTS	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	vGPU Guest
Red Hat Enterprise Linux (RHEL) with KVM [5] [8]	8.10, 9.4, 9.5, 9.6, 9.7	Red Hat Enterprise Linux	8.10, 9.4, 9.5, 9.6, 9.7	vGPU Guest
Red Hat Enterprise Linux (RHEL) with KVM [5] [8]	8.10, 9.4, 9.5, 9.6, 9.7	Microsoft Windows	Server 2022	vGPU Guest
Red Hat Enterprise Linux (RHEL) with KVM [5] [8]	Red Hat OpenStack Platform, Red Hat OpenStack Services on OpenShift	Product Documentation for Red Hat OpenStack	Product Documentation for Red Hat OpenStack	vGPU Guest
Nutanix AOS/AHV [5] [7] [8]	AOS/AHV 6.5 - 6.10	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	vGPU Guest
Nutanix AOS/AHV [5] [7] [8]	AOS/AHV 6.5 - 6.10	Debian	12	vGPU Guest
Nutanix AOS/AHV [5] [7] [8]	AOS/AHV 6.5 - 6.10	Red Hat Enterprise Linux	8.8, 8.10, 9.2, 9.4, 9.6	vGPU Guest
Nutanix AOS/AHV [5] [7] [8]	AOS/AHV 6.5 - 6.10	SUSE Linux Enterprise Server	12, 15	vGPU Guest

Base Command Manager

NVIDIA Base Command Manager provides cluster provisioning, workload management, and infrastructure monitoring for data centers.

Supported Configurations

• Kubernetes orchestration (Upstream Kubernetes)

• Slurm workload manager (non-Kubernetes)

• Red Hat Enterprise Linux and Ubuntu operating systems

Table 10 Base Command Manager

Orchestration Platform			Operating System		NVIDIA AI Enterprise Infrastructure Support
Name	Versions	Engine	Name	Versions	GPU Operator	Network Operator	GPU Driver Support
Upstream Kubernetes	1.31 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	Supported	Data Center
Upstream Kubernetes	1.31 - 1.34	Containerd	Red Hat Enterprise Linux	8, 9	Supported	Supported	Data Center
Slurm (non-Kubernetes)	24.05, 24.11, 25.05	N/A	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	N/A	N/A	Data Center
Slurm (non-Kubernetes)	24.05, 24.11, 25.05	N/A	Red Hat Enterprise Linux	8, 9	N/A	N/A	Data Center

Public Cloud

Managed Kubernetes

Verify compatibility for NVIDIA AI Enterprise on cloud-managed Kubernetes services.

Supported Cloud Providers

• Amazon Web Services (EKS)

• Google Cloud Platform (GKE)

• Microsoft Azure (AKS)

• Red Hat OpenShift (Managed Service - multi-cloud)

Table 11 Managed Kubernetes

Cloud Service Provider	Orchestration Platform			Operating System		NVIDIA AI Enterprise Infrastructure Support
	Name	K8s Versions	Engine	Name	Versions	GPU Operator	Network Operator	GPU Driver Support
AWS	Amazon Elastic Kubernetes Service (EKS)	1.30 - 1.34	Containerd	Ubuntu	20.04 LTS, 22.04 LTS, 24.04 LTS	Supported	N/A	vGPU Guest/Data Center
Google	Google Kubernetes Engine (GKE)	1.30 - 1.34	Containerd	Ubuntu	22.04 LTS, 24.04 LTS	Supported	N/A	vGPU Guest/Data Center
Microsoft	Azure Kubernetes Service (AKS)	1.30 - 1.34	Containerd	Ubuntu	22.04 LTS, 24.04 LTS	Supported	N/A	vGPU Guest/Data Center
N/A	Red Hat OpenShift (Managed Service)	4.16 - 4.20	CRI-O	Red Hat CoreOS	4.16 - 4.20	Supported	N/A	vGPU Guest/Data Center

Standard GPU Instances

Standard GPU virtual machine instances across major cloud providers support NVIDIA AI Enterprise for both Kubernetes and standalone containers.

Table 12 Standard Instances for Kubernetes and Standalone Containers

Cloud Service Provider	Virtual Machine (VM) Instance with GPU	Product Family
Alibaba	gn7e, gn7i	NVIDIA A10
Alibaba	gn7s	NVIDIA A30
Alibaba	gn6i	NVIDIA T4
Alibaba	gn6e, gn6v	NVIDIA V100
Alibaba	ecs.ebmgn8v, ecs.gn8v	NVIDIA H20
Alibaba	ecs.ebmgn8is, ecs.gn8is	NVIDIA L20
Amazon Web Services (AWS)	EC2 P3	NVIDIA V100
Amazon Web Services (AWS)	EC2 P4	NVIDIA A100
Amazon Web Services (AWS)	EC2 P5	NVIDIA H100
Amazon Web Services (AWS)	EC2 G4	NVIDIA T4
Amazon Web Services (AWS)	EC2 G5	NVIDIA A10G
Amazon Web Services (AWS)	EC2 G6	NVIDIA L4
Amazon Web Services (AWS)	EC2 G6e	NVIDIA L40S
Microsoft Azure	NCads_H100_v5-series, NCCads_H100_v5-series	NVIDIA H100
Microsoft Azure	NCv3-series	NVIDIA V100
Microsoft Azure	NCasT4_v3-series	NVIDIA T4
Microsoft Azure	NC_A100_v4-series	NVIDIA A100
Google Cloud Platform (GCP)	A3 VM	NVIDIA H100, H200
Google Cloud Platform (GCP)	A2 VM	NVIDIA A100
Google Cloud Platform (GCP)	G2 VM	NVIDIA L4
Google Cloud Platform (GCP)	N1 VM	NVIDIA T4, V100
Oracle Cloud Infrastructure (OCI)	BM.GPU3, VM.GPU3	NVIDIA V100
Oracle Cloud Infrastructure (OCI)	BM.GPU4, BM.GPU.A100	NVIDIA A100
Oracle Cloud Infrastructure (OCI)	BM.GPU.A10, VM.GPU.A10	NVIDIA A10
Oracle Cloud Infrastructure (OCI)	BM.GPU.H100.8	NVIDIA H100
Tencent Cloud	PNV4	NVIDIA A10
Tencent Cloud	GT4	NVIDIA A100
Tencent Cloud	GN10Xp, GN10X	NVIDIA V100
Tencent Cloud	GN7, GN7vi, GI3X	NVIDIA T4
Volcano Engine	ecs.gni2	NVIDIA A10

NVIDIA GPU Optimized VMI on CSP Marketplace

NVIDIA provides pre-configured, validated Virtual Machine Instances (VMI) for rapid AI deployment on cloud marketplaces.

What’s Included

• Pre-installed NVIDIA GPU drivers and Container Toolkit

• Optimized for standalone NVIDIA AI containers

• Available on AWS, Azure, Google Cloud, and Oracle Cloud Infrastructure

• Supports all standard GPU instance types listed in Standard GPU Instances

Table 13 NVIDIA GPU Optimized VMI on CSP Marketplace

Cloud Service Provider	VMI Name	GPUs	K8s Support	Standalone Container
AWS	NVIDIA AI Enterprise	Refer to Standard GPU Instances	N/A	Supported
Microsoft Azure	NVIDIA AI Enterprise	Refer to Standard GPU Instances	N/A	Supported
GCP	NVIDIA AI Enterprise	Refer to Standard GPU Instances	N/A	Supported

CPU-Only Server Support

NVIDIA AI Enterprise supports the following CPU-enabled frameworks:

• TensorFlow

• PyTorch

• Triton Inference Server with FIL backend

• NVIDIA RAPIDS with XGBoost and Dask

The CPU-enabled frameworks are supported on CPU-only servers that are part of the NVIDIA-Certified Systems list.

Footnotes

[1]

With optional RTX 6000 Ada Lovelace GPU.

[2] (1,2)

The NVIDIA vGPU for Compute Guest Driver is optional in bare metal deployments. Its use allows licensing enforcement.

[3]

Red Hat OpenShift Virtualization is supported with Red Hat OpenShift versions mentioned in the table and only with GPU Passthrough and NVIDIA vGPU for Compute.

[4] (1,2)

NVIDIA vGPU for Compute provides advanced management and monitoring capabilities that are not available with GPU Passthrough and the NVIDIA Datacenter GPU Driver.

[5] (1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18)

NVIDIA vGPU for Compute software is supported on Linux with KVM platforms only by specific hypervisor software vendors. For information about which NVIDIA vGPU software releases and hypervisor software releases are supported, consult the documentation from your hypervisor vendor. For information about Linux distributions supported as a guest OS, consult the documentation from your hypervisor vendor. NVIDIA vGPU for Compute software and your virtualization software vendor must support a guest OS release.

[6] (1,2,3)

NVIDIA AI Enterprise supports every patch release for the listed Red Hat OpenShift release, provided that Red Hat also supports it. When Red Hat no longer supports a release or patch release, it’s no longer supported by NVIDIA AI Enterprise.

[7] (1,2,3,4,5,6,7,8)

Obtain the NVIDIA Virtual GPU Manager software directly from Nutanix through the My Nutanix portal (a My Nutanix account is required). Contact Nutanix if the NVIDIA AI Enterprise release is unavailable from the My Nutanix portal.

[8] (1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17)

NVIDIA AI Enterprise only supports running workloads on a single-node setup for KVM hypervisors.