Lenovo ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU User Guide

Lenovo ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Product Information

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

The ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU offers versatile compute acceleration for mainstream enterprise servers. It features the NVIDIA Ampere architecture Tensor Cores and Multi-Instance GPU (MIG), delivering speedups securely across
diverse workloads, including AI inference at scale and HPC applications. The A30 combines fast memory bandwidth and low-power consumption in a PCIe form factor, enabling an elastic data center and delivering maximum value for enterprises.

The third-generation Tensor Core technology supports a broad range of math precisions, providing a unified workload accelerator for data analytics, AI training, AI inference, and HPC. Itaccelerates both scale-up and scale-out workloads on one platform, enabling elastic data centers that can dynamically adjust to shifting application workload demands. This simultaneously boosts throughput and drives down the cost of data centers.

The NVIDIA A30 Tensor Core GPU is a versatile platform for mainstream enterprise workloads, such as AI inference, training, and HPC. With TF32 and FP64 Tensor Core support, as well as anend-to-end software and hardware solution stack, the A30 ensures that mainstream AI training and HPC applications can be rapidly addressed.

Features:

• Third-Generation NVIDIA Tensor Core: Performance and Versatility
• TF32: Higher Performance for AI Training, Zero Code Changes
• Double-Precision Tensor Cores: The Biggest Milestone Since FP64 for HPC
• Multi-Instance GPU: Multiple Accelerators in One GPU

Part Number Information:

Usage Instructions

To use the ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU, follow these steps:

1. Ensure that your server is compatible with the NVIDIA A30 GPU.
2. Install the NVIDIA A30 GPU into an available PCIe slot on your server.
3. Attach the full-height (3U) adapter bracket to the NVIDIA A30 GPU.
4. Refer to the provided documentation for any additional installation steps or configuration requirements.

Note: The ThinkSystem NVIDIA A30 GPU supports Multi-Instance GPU(MIG) functionality. If you want to partition the GPU into multiple instances, ensure that you have the necessary software and hypervisors compatible with MIG, such as NVIDIA AI Enterprise with VMware vSphere or NVIDIA Virtual Compute Server (vCS) with hypervisors like Red Hat RHEL/RHV.

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Product Guide

The NVIDIA A30 offers versatile compute acceleration for mainstream enterprise servers. With NVIDIA Ampere architecture Tensor Cores and Multi-Instance GPU (MIG), it delivers speedups securely across diverse workloads, including AI inference at scale and HPC applications. The A30 combines fast memory bandwidth and low-power consumption in a PCIe form factor to enable an elastic data center and delivers maximum value for enterprises.
The third-generation Tensor Core technology supports a broad range of math precisions providing a unified workload accelerator for data analytics, AI training, AI inference, and HPC. Accelerating both scale-up and scale-out workloads on one platform enables elastic data centers that can dynamically adjust to shifting application workload demands. This simultaneously boosts throughput and drives down the cost of data centers.

Figure 1. ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Did you know?
The NVIDIA A30 Tensor Core GPU delivers a versatile platform for mainstream enterprise workloads, like AI inference, training, and HPC. With TF32 and FP64 Tensor Core support, as well as an end-to-end software and hardware solution stack, A30 ensures that mainstream AI training and HPC applications can be rapidly addressed.

Part number information

The following table shows the part numbers for the NVIDIA A30 GPU.

Part numbers
Table 1. Ordering information

The PCIe option part numbers includes the following:

• One NVIDIA A30 GPU with full-height (3U) adapter bracket attached
• Documentation

GPUs without a CEC chip: The NVIDIA A30 GPU is offered without a CEC chip (look for “w/o CEC” in the name). The CEC is a secondary Hardware Root of Trust (RoT) module that provides an additional layer of security, which can be used by customers who have high regulatory requirements or high security standards. NVIDIA uses a multi-layered security model and hence the protection offered by the primary Root of Trust embedded in the GPU is expected to be sufficient for most customers. The CEC defeatured products still offer Secure Boot, Secure Firmware Update, Firmware Rollback Protection, and In-Band Firmware Update Disable. Specifically, without the CEC chip, the GPU does not support Key Revocation or Firmware Attestation. CEC and non-CEC GPUs of the same type of GPU can be mixed in field upgrades.

Features

The ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU offers the following features:

• Third-Generation NVIDIA Tensor Core: Performance and Versatility
  Compared to the NVIDIA T4 Tensor Core GPU, the third-generation Tensor Cores on NVIDIA A30 deliver over 20X more AI training throughput using TF32 without any code changes and over 5X more inference performance. In addition, A30 adds BFLOAT16 to support a full range of AI precisions.

• TF32: Higher Performance for AI Training, Zero Code Changes
  A30 supports a new precision, TF32, which works just like FP32 while providing 11X higher floating point operations per second (FLOPS) over the prior- generation V100 for AI without requiring any code changes. NVIDIA’s automatic mixed precision (AMP) feature enables a further 2X boost to performance with just one additional line of code using FP16 precision. A30 Tensor Cores also include support for BFLOAT16, INT8, and INT4 precision, making A30 an incredibly versatile accelerator for both AI training and inference.

• Double-Precision Tensor Cores: The Biggest Milestone Since FP64 for HPC
  A30 brings the power of Tensor Cores to HPC, providing the biggest milestone since the introduction of double-precision GPU computing for HPC. The third generation of Tensor Cores in A30 enables matrix operations in full, IEEE- compliant, FP64 precision. Through enhancements in NVIDIA CUDA-X™ math libraries, a range of HPC applications that need double-precision math can now see boosts of up to 30% in performance and efficiency compared to prior generations of GPUs.

• Multi-Instance GPU: Multiple Accelerators in One GPU
  With Multi-Instance GPU (MIG), each A30 can be partitioned into as many as four GPU instances, fully isolated at the hardware level with their own high- bandwidth memory, cache, and compute cores. MIG works on NVIDIA AI Enterprise with VMware vSphere and NVIDIA Virtual Compute Server (vCS) with hypervisors such as Red Hat RHEL/RHV.

• PCIe Gen 4: Double the Bandwidth and NVLINK Between GPU pairs
  A30 supports PCIe Gen 4, which doubles the bandwidth of PCIe Gen 3 from 15.75 GB/sec to 31.5 GB/sec, improving data transfer speeds from CPU memory for data-intensive tasks and datasets. For additional communication bandwidth, A30 supports NVIDIA NVLink between pairs of GPUs, which provides data transfer rates up to 200 GB/sec.

• 24 GB of GPU Memory
  A30 features 24 GB of HBM2 memory with 933 GB/s of memory bandwidth, delivering 1.5X more memory and 3X more bandwidth than T4 to accelerate AI, data science, engineering simulation, and other GPU memory-intensive workloads.

• Structural Sparsity: 2X Higher Performance for AI
  Modern AI networks are big, having millions and in some cases billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros to make the models “sparse” without compromising accuracy. Tensor Cores in A30 can provide up to 2X higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.

Technical specifications

The following table lists the NVIDIA A30 GPU specifications.
Table 2. A30 specifications

FP64 Tensor Core: 10.3 TFLOPS

Single-Precision Performance| FP32: 10.3 TFLOPS

Tensor Float 32 (TF32): 82 TFLOPS, 165 TFLOPS*

Half-Precision Performance| FP16: 165 TFLOPS, 330 TFLOPS
Bfloat16| 165 TFLOPS, 330 TFLOPS
Integer Performance| INT8: 330 TOPS, 661 TOPS*

INT4: 661 TOPS, 1321 TOPS*

GPU Memory| 24 GB HBM2
Memory Bandwidth| 933 GB/sec
ECC| Yes
Interconnect Bandwidth| 64 GB/sec
System Interface| PCIe Gen 4, x16 lanes
Form Factor| PCIe full height/length, double width
Multi-Instance GPU (MIG)| Up to 4 GPU instances
Max Power Consumption| 165 W
Thermal Solution| Passive
Compute APIs| CUDA, DirectCompute, OpenCL, OpenACC

• With structural sparsity enabled

Server support

The following tables list the ThinkSystem servers that are compatible.

Table 3. Server support (Part 1 of 3)

4X67A71309| 4X67A76581|

Part Number

---|---|---
ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge| ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC|

Description

N| N| SE350 (7Z46 / 7D1X)|

Edge

N| N| SE350 V2 (7DA9)
N| N| SE360 V2 (7DAM)
N| 2| SE450 (7D8T)
N| N| ST50 V2 (7D8K / 7D8J)| 1S Intel V2
N| N| ST250 V2 (7D8G / 7D8F)
N| N| SR250 V2 (7D7R / 7D7Q)
N| N| SR635 V3 (7D9H / 7D9G)|

AMD V3

N| 3| SR655 V3 (7D9F / 7D9E)
N| N| SR645 V3 (7D9D / 7D9C)
N| 3| SR665 V3 (7D9B / 7D9A)
Y| 8| SR675 V3 (7D9Q / 7D9R)
Y| N| ST650 V3 (7D7B / 7D7A)|

Intel V3

N| N| SR630 V3 (7D72 / 7D73)
N| 3| SR650 V3 (7D75 / 7D76)
N| N| SR850 V3 (7D97 / 7D96)
Y| N| SR860 V3 (7D94 / 7D93)
N| N| SR950 V3 (7DC5 / 7DC4)

Table 4. Server support (Part 2 of 3)

4X67A71309| 4X67A76581|

Part Number

---|---|---
ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge| ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC|

Description

N| N| SD665 V3 (7D9P)|

Dense V3

N| N| SD665-N V3 (7DAZ)
N| N| SD650 V3 (7D7M)
N| N| SD650-I V3 (7D7L)
Y| N| ST650 V2 (7Z75 / 7Z74)|

2S Intel V2

N| N| SR630 V2 (7Z70 / 7Z71)
N| 3| SR650 V2 (7Z72 / 7Z73)
Y| 8| SR670 V2 (7Z22 / 7Z23)
N| N| SR635 (7Y98 / 7Y99)|

AMD V1

N| 2| SR655 (7Y00 / 7Z01)
N| N| SR655 Client OS
N| N| SR645 (7D2Y / 7D2X)
N| 3| SR665 (7D2W / 7D2V)
N| N| SD630 V2 (7D1K)|

Dense V2

N| N| SD650 V2 (7D1M)
N| N| SD650-N V2 (7D1N)
N| N| SN550 V2 (7Z69)
N| N| SR850 V2 (7D31 / 7D32)| 4S V2
N| 4| SR860 V2 (7Z59 / 7Z60)
N| N| SR950 (7X11 / 7X12)|

8S

Table 5. Server support (Part 3 of 3)

Part Number

|

Description

| 4S V1| 1S Intel V1| 2S Intel V1| Dense V1
---|---|---|---|---|---
SR850 (7X18 / 7X19)| SR850P (7D2F / 2D2G)| SR860 (7X69 / 7X70)| ST50 (7Y48 / 7Y50)| ST250 (7Y45 / 7Y46)| SR150 (7Y54)| SR250 (7Y52 / 7Y51)| ST550 (7X09 / 7X10)| SR530 (7X07 / 7X08)| SR550 (7X03 / 7X04)| SR570 (7Y02 / 7Y03)| SR590 (7X98 / 7X99)| SR630 (7X01 / 7X02)| SR650 (7X05 / 7X06)| SR670 (7Y36 / 7Y37)| SD530 (7X21)| SD650 (7X58)| SN550 (7X16)| SN850 (7X15)
4X67A76581| ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC| N| N| N| N| N| N| N| N| N| N| N| N| N| 2| 4| N| N| N| N
4X67A71309| ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge| N| N| N| N| N| N| N| N| N| N| N| N| N| N| N| N| N| N| N

Operating system support

The following table lists the supported operating systems:

Tip: These tables are automatically generated based on data from Lenovo ServerProven.

Table 6. Operating system support for ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU, 4X67A76581

Operating systems

| SE450| SR650 V3| SR655 V3| SR665 V3| SR675 V3| SR650 V2| SR670 V2| SR860 V2| SR655| SR665| SR650 (Gen 2)| SR650 (Gen 1)
---|---|---|---|---|---|---|---|---|---|---|---|---
Microsoft Windows 10| N| Y| Y| N| N| N| N| N| Y 1| N| N| N
Microsoft Windows 11| N| Y| Y| Y| N| N| N| N| Y| N| N| N
Microsoft Windows Server 2016| N| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
Microsoft Windows Server 2019| Y| Y| Y| Y| N| Y| Y| Y| Y| Y| Y| Y
Microsoft Windows Server 2022| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 7.7| N| N| N| N| N| N| N| N| Y 2| Y 2| Y| Y
Red Hat Enterprise Linux 7.8| N| N| N| N| N| N| N| N| Y 2| Y 2| Y| Y
Red Hat Enterprise Linux 7.9| Y| N| N| N| N| Y| Y| Y| Y 2| Y 2| Y| Y
Red Hat Enterprise Linux 8.0| N| N| N| N| N| N| N| N| Y 2| N| Y| Y
Red Hat Enterprise Linux 8.1| N| N| N| N| N| N| N| N| Y 2| Y 2| Y| Y
Red Hat Enterprise Linux 8.2| N| N| N| N| N| Y| Y| Y| Y 2| Y 2| Y| Y
Red Hat Enterprise Linux 8.3| N| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 8.4| Y| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 8.5| Y| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 8.6| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 8.7| Y| Y| Y| Y| N| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 9.0| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y
Red Hat Enterprise Linux 9.1| Y| Y| Y| Y| N| Y| Y| Y| Y| Y| Y| Y
SUSE Linux Enterprise Server 15| N| N| N| N| N| N| N| N| N| N| Y| Y
SUSE Linux Enterprise Server 15 SP1| N| N| N| N| N| N| N| N| Y 2| Y 2| Y| Y
SUSE Linux Enterprise Server 15 SP2| N| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
SUSE Linux Enterprise Server 15 SP3| N| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
SUSE Linux Enterprise Server 15 SP4| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y
Ubuntu 18.04.6 LTS| Y| N| N| N| N| N| N| N| N| N| N| N
Ubuntu 20.04 LTS| N| N| N| N| N| Y| N| N| N| N| N| N
Ubuntu 20.04.5 LTS| Y| N| Y| Y| Y| N| N| N| N| N| N| N
Ubuntu 22.04 LTS| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y
VMware vSphere Hypervisor (ESXi) 7.0| N| N| N| N| N| N| N| N| Y 2| Y 2| Y| Y
VMware vSphere Hypervisor (ESXi) 7.0 U1| N| N| N| N| N| N| N| Y| Y 2| Y| Y| Y
VMware vSphere Hypervisor (ESXi) 7.0 U2| N| N| N| N| N| Y| Y| Y| Y| Y| Y| Y
VMware vSphere Hypervisor (ESXi) 7.0 U3| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y| Y
VMware vSphere Hypervisor (ESXi) 8.0| Y| Y| Y| Y| N| Y| Y| Y| Y| Y| Y| Y

1. ISG will not sell/preload this OS, but compatibility and cert only.
2. The OS is not supported with EPYC 7003 processors.

NVIDIA GPU software

This section lists the NVIDIA software that is available from Lenovo.

• NVIDIA vGPU Software (vApps, vPC, RTX vWS, and vCS)
• NVIDIA Omniverse Software (OVE)
• NVIDIA AI Enterprise Software (NVAIE)
• NVIDIA HPC Compiler Software

NVIDIA vGPU Software (vApps, vPC, RTX vWS, and vCS)
Lenovo offers the following virtualization software for NVIDIA GPUs:

• Virtual Applications (vApps)
  For organizations deploying Citrix XenApp, VMware Horizon RDSH or other RDSH solutions. Designed to deliver PC Windows applications at full performance. NVIDIA Virtual Applications allows users to access any Windows application at full performance on any device, anywhere. This edition is suited for users who would like to virtualize applications using XenApp or other RDSH solutions. Windows Server hosted RDSH desktops are also supported by vApps.

• Virtual PC (vPC)
  This product is ideal for users who want a virtual desktop but need great user experience leveraging PC Windows® applications, browsers and high-definition video. NVIDIA Virtual PC delivers a native experience to users in a virtual environment, allowing them to run all their PC applications at full performance.

• NVIDIA RTX Virtual Workstation (RTX vWS)
  NVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation — enabling workstation performance from any device.

• Virtual Compute Server (vCS)
  NVIDIA Virtual Compute Server (vCS) enables data centers running on Red Hat Enterprise Linux, Red Hat Virtualization, and other supported KVM-based hypervisors to accelerate server virtualization with the latest NVIDIA data center GPUs, so that the most compute-intensive workloads, such as artificial intelligence, deep learning, and data science, can be run in a virtual machine (VM) powered by NVIDIA vGPU technology.

The following license types are offered:

• Perpetual license
  A non-expiring, permanent software license that can be used on a perpetual basis without the need to renew. Each Lenovo part number includes a fixed number of years of Support, Upgrade and Maintenance (SUMS).

• Annual subscription
  A software license that is active for a fixed period as defined by the terms of the subscription license, typically yearly. The subscription includes Support, Upgrade and Maintenance (SUMS) for the duration of the license term.

• Concurrent User (CCU)
  A method of counting licenses based on active user VMs. If the VM is active and the NVIDIA GRID vGPU software is running, then this counts as one CCU. A vGPU CCU is independent of the connection to the VM.
  

The following table lists the ordering part numbers and feature codes.
Table 7. NVIDIA vGPU Software

NVIDIA vApps
7S020003WW| B1MP| NVIDIA vApps Perpetual License and SUMS 5Yr, 1 CCU
7S020004WW| B1MQ| NVIDIA vApps Subscription License 1 Year, 1 CCU
7S020005WW| B1MR| NVIDIA vApps Subscription License 3 Years, 1 CCU
7S02003DWW| S832| NVIDIA vApps Subscription License 4 Years, 1 CCU
7S02003EWW| S833| NVIDIA vApps Subscription License 5 Years, 1 CCU
NVIDIA vPC
7S020009WW| B1MV| NVIDIA vPC Perpetual License and SUMS 5Yr, 1 CCU
7S02000AWW| B1MW| NVIDIA vPC Subscription License 1 Year, 1 CCU
7S02000BWW| B1MX| NVIDIA vPC Subscription License 3 Years, 1 CCU
7S02003FWW| S834| NVIDIA vPC Subscription License 4 Years, 1 CCU
7S02003GWW| S835| NVIDIA vPC Subscription License 5 Years, 1 CCU
NVIDIA RTX vWS
7S02000FWW| B1N1| NVIDIA RTX vWS Perpetual License and SUMS 5Yr, 1 CCU
7S02000GWW| B1N2| NVIDIA RTX vWS Subscription License 1 Year, 1 CCU
7S02000HWW| B1N3| NVIDIA RTX vWS Subscription License 3 Years, 1 CCU
7S02000LWW| B1N6| NVIDIA RTX vWS EDU Perpetual License and SUMS 5Yr, 1 CCU
7S02000MWW| B1N7| NVIDIA RTX vWS EDU Subscription License 1 Year, 1 CCU
7S02000NWW| B1N8| NVIDIA RTX vWS EDU Subscription License 3 Years, 1 CCU
7S02003BWW| S830| NVIDIA RTX vWS EDU Subscription License 4 Years, 1 CCU
7S02003CWW| S831| NVIDIA RTX vWS EDU Subscription License 5 Years, 1 CCU
7S02000XWW| S6YJ| NVIDIA RTX vWS Subscription License 4 Years, 1 CCU
7S02000YWW| S6YK| NVIDIA RTX vWS Subscription License 5 Years, 1 CCU
NVIDIA vCS
7S02000ZWW| S6YL| NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 1 Year
7S020010WW| S6YM| NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 3 Years
7S020011WW| S6YN| NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 5 Years
7S020012WW| S6YP| NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 1 Year
7S020013WW| S6YQ| NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 3 Years
7S020014WW| S6YR| NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 5 Years

NVIDIA Omniverse Software (OVE)

Lenovo offers the following NVIDIA Omniverse Software software. 3D workflows are now an essential component of every industry. Efficient design collaboration between teams is crucial. NVIDIA Omniverse™ Enterprise is an end-to-end collaboration and simulation platform that fundamentally transforms complex design workflows, creating a more harmonious environment for creative teams.

• NVIDIA Omniverse Enterprise Nucleus
  Collaboration service which enables a variety of Omniverse Enterprise-enabled client applications (Apps, Connectors, and others) to share and modify authoritative representations of virtual worlds in USD. Omniverse Nucleus is built for collaboration across multiple users. Omniverse Nucleus is the database and collaboration engine of Omniverse.
  Includes:

  • Collaboration and scalable core microservices deployed on servers and/or workstations.
  • Nucleus Workstation
  • Enterprise Nucleus Server
  • NVIDIA Enterprise Support
    Note: The Omniverse Enterprise Nucleus Subscription is priced and licensed per named user.

• NVIDIA Omniverse Enterprise Creator
  App for accelerated advanced scene composition and world building. Creator enables scene composition, simulation, and rendering on workstations and virtual workstations.
  Includes:

  • Omniverse Create
  • Omniverse Kit
  • Omniverse Extensions
  • Batch microservices (on up to 64 GPUs)
  • NVIDIA Enterprise Support

Note: Collaboration via Nucleus requires a Nucleus subscription.

• NVIDIA Omniverse Enterprise Reviewer
  Simple app designed to visualize projects in stunning, physically accurate photorealism and enable minor editing and comment permissions. Reviewer enables review and approval for workstations and virtual workstations.
  Includes:

  • Omniverse View
  • NVIDIA Enterprise Support
    Note: Editing and commenting via Nucleus requires a Nucleus subscription.

The following license types are offered:

• Concurrent User (CCU) License
  A method of allocating licenses based on the number of users that are concurrently using the software. As an example, one CCU license allows only one concurrent user to use the software.

• Floating User License
  For licensing, same as Concurrent User License.

• Named User License
  A method of licensing based on the number of named authorized users who may not re-assign or share the license with any other person.

• Subscription
  A software license that is active for a fixed period as defined by the terms of the subscription. An annual subscription includes SUMS for the duration of the license term.

The following table lists the ordering part numbers and feature codes.

Table 8. NVIDIA Omniverse Software (OVE)

Omniverse Enterprise Nucleus
7S02002MWW| S82A| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 1 Year
7S02002NWW| S82B| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 3 Years
7S02002PWW| S82C| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 4 Years
7S02002QWW| S82D| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 5 Years
7S02002RWW| S82E| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 1 Year
7S02002SWW| S82F| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 3 Years
7S02002TWW| S82G| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 4 Years
7S02002UWW| S82H| NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 5 Years
Omniverse Enterprise Creator
7S02002VWW| S82J| NVIDIA Omniverse Enterprise Creator Subscription per CCU, 1 Year
7S02002WWW| S82K| NVIDIA Omniverse Enterprise Creator Subscription per CCU, 3 Years
7S02002XWW| S82L| NVIDIA Omniverse Enterprise Creator Subscription per CCU, 4 Years
7S02002YWW| S82M| NVIDIA Omniverse Enterprise Creator Subscription per CCU, 5 Years
7S02002ZWW| S82N| NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 1 Year
7S020030WW| S82P| NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 3 Years
7S020031WW| S82Q| NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 4 Years
7S020032WW| S82R| NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 5 Years
Omniverse Enterprise Reviewer
7S020033WW| S82S| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 1 Year
7S020034WW| S82T| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 3 Years
7S020035WW| S82U| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 4 Years
7S020036WW| S82V| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 5 Years
7S020037WW| S82W| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 1 Year
7S020038WW| S82X| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 3 Years
7S020039WW| S82Y| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 4 Years
7S02003AWW| S82Z| NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 5 Years

NVIDIA AI Enterprise Software (NVAIE)

Lenovo offers the NVIDIA AI Enterprise cloud-native enterprise software. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of  AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere and bare-metal  with NVIDIA-Certified  Systems™.  It includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
NVIDIA AI Enterprise is licensed on a per-CPU Socket basis. NVIDIA AI Enterprise products can be purchased as either a perpetual license with support services, or as an annual or multi-year subscription.

• The perpetual license provides the right to use the NVIDIA AI Enterprise software indefinitely, with no expiration. NVIDIA AI Enterprise with perpetual licenses must be purchased in conjunction with one-year, three-year, or five-year support services. A one-year support service is also available for renewals.
• The subscription offerings are an affordable option to allow IT departments to better manage the flexibility of license volumes. NVIDIA AI Enterprise software products with subscription includes support services for the duration of the software’s subscription license

The features of NVIDIA AI Enterprise Software are listed in the following table.
Table 9. Features of NVIDIA AI Enterprise Software (NVAIE)

Note: Maximum 10 concurrent VMs per product license
The following table lists the ordering part numbers and feature codes.
Table 10. NVIDIA AI Enterprise Software (NVAIE)

AI Enterprise Perpetual License
7S020019WW| S6YW| NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, 1 Year
7S02001AWW| S6YX| NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, 3 Years
Part number| Feature code| Description
---|---|---
7S02001BWW| S6YY| NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, 5 Years
7S02001CWW| S6YZ| NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, EDU, 1 Year
7S02001DWW| S6Z0| NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, EDU, 3 Years
7S02001EWW| S6Z1| NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, EDU, 5 Years
AI Enterprise Subscription License
7S02001FWW| S6Z2| NVIDIA AI Enterprise Subscription License and Support per CPU Socket, 1 Year
7S02001GWW| S6Z3| NVIDIA AI Enterprise Subscription License and Support per CPU Socket, 3 Years
7S02001HWW| S6Z4| NVIDIA AI Enterprise Subscription License and Support per CPU Socket, 5 Years
7S02001JWW| S6Z5| NVIDIA AI Enterprise Subscription License and Support per CPU Socket, EDU, 1 Year
7S02001KWW| S6Z6| NVIDIA AI Enterprise Subscription License and Support per CPU Socket, EDU, 3 Years
7S02001LWW| S6Z7| NVIDIA AI Enterprise Subscription License and Support per CPU Socket, EDU, 5 Years

Find more information in the NVIDIA AI Enterprise Sizing Guide.

NVIDIA HPC Compiler Software
Table 11. NVIDIA HPC Compiler

HPC Compiler Support Services
7S090014WW| S924| NVIDIA HPC Compiler Support Services, 1 Year
7S090015WW| S925| NVIDIA HPC Compiler Support Services, 3 Years
7S09002GWW| S9UQ| NVIDIA HPC Compiler Support Services, 5 Years
7S090016WW| S926| NVIDIA HPC Compiler Support Services, EDU, 1 Year
7S090017WW| S927| NVIDIA HPC Compiler Support Services, EDU, 3 Years
7S09002HWW| S9UR| NVIDIA HPC Compiler Support Services, EDU, 5 Years
7S090018WW| S928| NVIDIA HPC Compiler Support Services – Additional Contact, 1 Year
7S09002JWW| S9US| NVIDIA HPC Compiler Support Services – Additional Contact, 3 Years
7S09002KWW| S9UT| NVIDIA HPC Compiler Support Services – Additional Contact, 5 Years
7S090019WW| S929| NVIDIA HPC Compiler Support Services – Additional Contact, EDU, 1 Year
7S09002LWW| S9UU| NVIDIA HPC Compiler Support Services – Additional Contact, EDU, 3 Years
7S09002MWW| S9UV| NVIDIA HPC Compiler Support Services – Additional Contact, EDU, 5 Years
HPC Compiler Premier Support Services
7S09001AWW| S92A| NVIDIA HPC Compiler Premier Support Services, 1 Year
7S09002NWW| S9UW| NVIDIA HPC Compiler Premier Support Services, 3 Years
7S09002PWW| S9UX| NVIDIA HPC Compiler Premier Support Services, 5 Years
Part number| Feature code| Description
---|---|---
7S09001BWW| S92B| NVIDIA HPC Compiler Premier Support Services, EDU, 1 Year
7S09002QWW| S9UY| NVIDIA HPC Compiler Premier Support Services, EDU, 3 Years
7S09002RWW| S9UZ| NVIDIA HPC Compiler Premier Support Services, EDU, 5 Years
7S09001CWW| S92C| NVIDIA HPC Compiler Premier Support Services – Additional Contact, 1 Year
7S09002SWW| S9V0| NVIDIA HPC Compiler Premier Support Services – Additional Contact, 3 Years
7S09002TWW| S9V1| NVIDIA HPC Compiler Premier Support Services – Additional Contact, 5 Years
7S09001DWW| S92D| NVIDIA HPC Compiler Premier Support Services – Additional Contact, EDU, 1 Year
7S09002UWW| S9V2| NVIDIA HPC Compiler Premier Support Services – Additional Contact, EDU, 3 Years
7S09002VWW| S9V3| NVIDIA HPC Compiler Premier Support Services – Additional Contact, EDU, 5 Years

Auxiliary power cables

The A30 option part number does not ship with auxiliary power cables. Cables are server-specific due to length requirements. For CTO orders, auxiliary power cables are derived by the configurator. For field upgrades, cables will need to be ordered separately as listed in the table below.
Table 12. Auxiliary power cables for A30 (click images to show larger versions)

Auxiliary power cables needed with the SR665, SR650 V2, SR650 V3, SR655 V3, SR665 V3

360mm 8pin (2×4) cable Option *:

SR665: 4M17A80478 or 4M17A11759

SR650 V2: 4H47A38666 or 4H47A80491 SR650 V3: 4X67A82883

SR655 V3: 4X67A86438 SR665 V3: 4X67A85856

Feature : BAD8

SBB : SBB7A49792 or SBB7A21691

Base : SC17A59596

FRU : 02YE420

• The option part numbers are for thermal kits and include other components needed to install the GPU. See the server product guide for details.

Auxiliary power cable needed with the SR675 V3
235mm 8pin (2×4) cable

Option : 4X97A84509, ThinkSystem SR675 V3 GPU Power Cable Kit Feature : BRGU

SBB : SBB7A65297 Base : SC17B39302 FRU : 03LE555

Auxiliary power cable needed with the SE450
350mm 8pin (2×4) cable

Option : 4X97A81810, ThinkEdge SE450 GPU Power Cable

Feature : BMHY SBB : SBB7A50523 Base : SC17B03366 FRU : 02YF808

Auxiliary power cable needed with the SR670 V2
215mm 8pin (2×4) cable

Option : 4X97A69627, ThinkSystem SR670 V2 GPU Option Power Cable Feature : BFNL

SBB : SBB7A40281 Base : SC17A10990 FRU : 02YE945

Auxiliary power cables needed with the SR860 V2
190mm 8pin (2×4) cable

Option : 4X97A76342, GPU Riser to GPU Power Cable, 190mm

Feature : BAX5 SBB : SBB7A17004 Base : SC17A78231 FRU : 02JJ637

Auxiliary power cables supplied with the SR670 (configure-to-order only)
900mm SR670 Cage 1 power cable Feature : B3Y3

SBB : SBB7A10375 Base : SC17A10876 FRU : 01PG448

Notes:

Feature & SBB also include PCIe data cable

Cable also supplies power to the riser

1100mm SR670 Cage 2 power cable

Feature : B3Y2 SBB : SBB7A10374 Base : SC17A10863 FRU : 01PG426

Notes:

Feature & SBB also include PCIe data cable

Cable also supplies power to the riser

Auxiliary power cables needed with the SR650
300mm 8pin (2×4) cable

Option : 4XH7A08794, ThinkSystem SR650 GPU Cable Kit

Feature : AUSR SBB : SBB7A00299 Base : SC17A02296 FRU : 01KN066

Regulatory approvals
The NVIDIA A30 GPU has the following regulatory approvals:

• RCM
• BSMI
• CE
• FCC
• ICES
• KCC
• cUL, UL
• VCCI

Operating environment

The NVIDIA A30 GPU has the following operating characteristics:

• Ambient temperature
  • Operational: 0°C to 50°C (-5°C to 55°C for short term*)
  • Storage: -40°C to 75°C
• Relative humidity:
  • Operational: 5-85% (5-93% short term*)
  • Storage: 5-95%
• A period not more than 96 hours consecutive, not to exceed 15 days per year.

Warranty

One year limited warranty. When installed in a Lenovo server, the GPU assumes the server’s base warranty and any warranty upgrades.

Related publications
For more information, refer to these documents:
ThinkSystem and ThinkAgile GPU Summary:
https://lenovopress.lenovo.com/lp0768-thinksystem-thinkagile-gpu-summary
ServerProven compatibility:
https://serverproven.lenovo.com/
NVIDIA A30 product page:
https://www.nvidia.com/en-us/data-center/products/a30-gpu/
NVIDIA Ampere Architecture page
https://www.nvidia.com/en-us/data-center/ampere-architecture/

Related product families
Product families related to this document are the following:

• GPU adapters

Notices

Lenovo may not offer the products, services, or features discussed in this document in all countries. Consult your local Lenovo representative for information on the products and services currently available in your area. Any reference to a Lenovo product, program, or service is not intended to state or imply that only that Lenovo product, program, or service may be used. Any functionally equivalent product, program, or service that does not infringe any Lenovo intellectual property right may be used instead. However, it is the user’s responsibility to evaluate and verify the operation of any other product, program, or service. Lenovo may have patents or pending patent applications covering subject matter described in this document. The furnishing of this document does not give you any license to these patents. You can send license inquiries, in writing, to:
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Attention: Lenovo Director of Licensing
LENOVO PROVIDES THIS PUBLICATION ”AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Some jurisdictions do not allow disclaimer of express or implied warranties in certain transactions, therefore, this statement may not apply to you.
This information could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein; these changes will be incorporated in new editions of the publication. Lenovo may make improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time without notice.
The products described in this document are not intended for use in implantation or other life support applications where malfunction may result in injury or death to persons. The information contained in this document does not affect or change Lenovo product specifications or warranties. Nothing in this document shall operate as an express or implied license or indemnity under the intellectual property rights of Lenovo or third parties. All information contained in this document was obtained in specific environments and is presented as an illustration. The result obtained in other operating environments may vary. Lenovo may use or distribute any of the information you supply in any way it believes appropriate without incurring any obligation to you.
Any references in this publication to non-Lenovo Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this Lenovo product, and use of those Web sites is at your own risk. Any performance data contained herein was determined in a controlled environment. Therefore, the result obtained in other operating environments may vary significantly. Some measurements may have been made on development-level systems and there is no guarantee that these measurements will be the same on generally available systems. Furthermore, some measurements may have been estimated through extrapolation. Actual results may vary. Users of this document should verify the applicable data for their specific environment.
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This document, LP1774, was created or updated on July 9, 2023.
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Lenovo and the Lenovo logo are trademarks or registered trademarks of Lenovo in the United States, other countries, or both. A current list of Lenovo trademarks is available on the Web at https://www.lenovo.com/us/en/legal/copytrade/.
The following terms are trademarks of Lenovo in the United States, other countries, or both:
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References

• ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU Product Guide > Lenovo Press
• ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU > Lenovo Press
• Welcome | ServerProven
• Copyright and Trademark Information | Lenovo US | Lenovo US
• Welcome | ServerProven
• A30 Tensor Core GPU for AI Inference | NVIDIA

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