NVIDIA AI Enterprise Product Support Matrix
Support information for all users of NVIDIA AI Enterprise.
1. Product Support Matrix
Driver package: NVIDIA AI Enterprise 3.1
- Run: AI: 2.5
- Domino Data Lab
- The GPUs listed in the table are supported only with NVIDIA AI Enterprise compatible servers.
- NVIDIA AI Enterprise supports every patch release for the listed Red Hat OpenShift release provided that Red Hat also supports it. When a release or patch release is no longer supported by Red Hat, it is no longer supported by NVIDIA AI Enterprise.
GPU | Hypervisor or Bare-Metal OS | GPU Deployment | Guest OS Support | Container Engine | Container Orchestration Platform |
---|---|---|---|---|---|
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|
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containerd |
|
Docker | N/A | ||||
|
CRI-O |
|
|||
|
containerd | HPE Ezmeral Runtime Enterprise 5.5 | |||
|
Podman |
N/A |
|||
|
N/A | N/A | |||
|
|
|
|
CRI-O |
|
|
Podman |
N/A |
|||
|
N/A | N/A | |||
|
|
|
N/A |
containerd |
|
Docker | N/A | ||||
|
|
|
N/A |
CRI-O |
|
|
|
|
N/A |
containerd |
HPE Ezmeral Runtime Enterprise 5.5 |
|
|
N/A |
Podman |
N/A |
|
|
Amazon Web Services (AWS) Nitro |
|
containerd |
Amazon Elastic Kubernetes Service (EKS) | |
|
Google Cloud Platform (GCP) KVM |
|
containerd |
Google Kubernetes Engine (GKE) |
2. NVIDIA RAPIDS Accelerator for Apache Spark Support
NVIDIA RAPIDS Accelerator for Apache Spark is a software component of NVIDIA AI Enterprise. It uses NVIDIA GPUs to accelerate Spark data frame workloads transparently, that is, without code changes.
- Google Cloud Dataproc
- Databricks on the following
cloud services:
- Amazon Web Services (AWS)
- Microsoft Azure
- Amazon EMR (formerly "Amazon Elastic MapReduce")
3. NVIDIA AI Enterprise Supported Cloud Services
NVIDIA AI Enterprise is supported on several cloud services with bring-your-own-license (BYOL) licensing. Pay-as-you-go licensing is also available with some cloud services.
- Amazon Web Services Elastic Compute Cloud (AWS EC2)
- Google Cloud Platform (GCP)
- Microsoft Azure
- Oracle Cloud Infrastructure
3.1. Amazon Web Services Elastic Compute Cloud (AWS EC2)
GPU | Supported AWS EC2 Instances | Supported Guest Operating Systems |
---|---|---|
NVIDIA T4 |
g4dn.xlarge g4dn.2xlarge g4dn.4xlarge g4dn.8xlarge g4dn.12xlarge g4dn.16xlarge |
Red Hat Enterprise Linux 8.4 Red Hat Enterprise Linux 7.9 Red Hat OpenShift 4.10 using Red Hat Linux CoreOS (RHCOS) Red Hat OpenShift 4.9 using Red Hat Linux CoreOS (RHCOS) Ubuntu 22.04 Ubuntu 20.04 |
NVIDIA V100 |
P3.2xlarge P3.8xlarge P3.16xlarge |
|
NVIDIA A10G |
g5.xlarge g5.2xlarge g5.4xlarge g5.8xlarge g5.12xlarge g5.16xlarge g5.24xlarge g5.48xlarge |
|
NVIDIA A100 |
p4d.24xlarge |
3.2. Google Cloud Platform (GCP)
GPU | Supported GCP Instances | Supported Guest Operating Systems |
---|---|---|
NVIDIA A100 |
a2-highgpu-1g a2-highgpu-2g a2-highgpu-4g a2-highgpu-8g a2-megagpu-16g |
Red Hat Enterprise Linux 8.4 Red Hat Enterprise Linux 7.9 Red Hat OpenShift 4.10 using Red Hat Linux CoreOS (RHCOS) Red Hat OpenShift 4.9 using Red Hat Linux CoreOS (RHCOS) Ubuntu 22.04 Ubuntu 20.04 |
NVIDIA L4 |
g2-standard-4 g2-standard-8 g2-standard-12 g2-standard-16 g2-standard-24 g2-standard-32 g2-standard-48 g2-standard-96 |
|
NVIDIA T4 |
Any custom machine type that can be created in a zone. |
|
NVIDIA V100 |
3.3. Microsoft Azure
GPU | Supported Azure Instances | Supported Guest Operating Systems |
---|---|---|
NVIDIA V100 |
NC6s_v3 NC12s_v3 NC24s_v3 NC24rs_v3 ND40rs_v2 |
Red Hat Enterprise Linux 8.4 Red Hat Enterprise Linux 7.9 Red Hat OpenShift 4.10 using Red Hat Linux CoreOS (RHCOS) Red Hat OpenShift 4.9 using Red Hat Linux CoreOS (RHCOS) Ubuntu 22.04 Ubuntu 20.04 |
NVIDIA T4 |
NC4asT4_v3 NC8asT4_v3 NC16asT4_v3 NC64asT4_v3 |
|
NVIDIA A100 |
NC24ads_A100_v4 NC48ads_A100_v4 NC96ads_A100_v4 ND96asr_v4 ND96amsr_A100_v4 |
|
NVIDIA A10 |
NV6ads_A10_v5 NV12ads_A10_v5 NV18ads_A10_v5 NV36ads_A10_v5 NV36adms_A10_v5 NV72ads_A10_v5 |
3.4. Oracle Cloud Infrastructure
GPU | Oracle Cloud Infrastructure Shapes | Supported Guest Operating Systems |
---|---|---|
NVIDIA P100 |
VM.GPU2.1 BM.GPU2.2 |
Linux:
Windows:
|
NVIDIA V100 |
VM.GPU3.1 VM.GPU3.2 VM.GPU3.4 BM.GPU3.8 |
|
NVIDIA A100 |
BM.GPU.GM4.8 BM.GPU4.8 |
|
NVIDIA A10 |
BM.GPU.GU1.4 |
3.5. NVIDIA GPU Optimized VMI on CSP Marketplace
For ease of use in the cloud, NVIDIA provides compute optimized and validated base Virtual Machine Instances (VMI) through CSP marketplaces. Each VMI includes key technologies and software from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
- Ubuntu Server 20.04
- NVIDIA driver 525 TRD - 525.60.13
- Docker-ce 20.10.12
- NVIDIA Container Toolkit 1.8.1
- NVIDIA Container Runtime 3.8.1
4. CPU Only Server Support
NVIDIA AI Enterprise supports deployments on CPU only servers that are part of the NVIDIA Certified Systems list. Customers can deploy both GPU and CPU Only systems with VMware vSphere or Red Hat Enterprise Linux.
NVIDIA AI Enterprise will support the following CPU enabled frameworks:
-
TensorFlow
-
PyTorch
-
Triton Inference Server with FIL backend
-
NVIDIA RAPIDS with XGBoost and Dask
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