Lenovo Thinksystem Nvidia A30 24gb Pcie Gen4 Passive Gpu User Guide (+ PDF)

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1 ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

2 Product Information: ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

2.1 Features:

2.2 Part Number Information:

2.3 Usage Instructions:

2.4 Documents / Resources

2.4.1 References

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. It
accelerates 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 an
end-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:

Part Number	Description
4X67A76581	ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC
4X67A71309	ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU
–	ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge

Usage Instructions:

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

Ensure that your server is compatible with the NVIDIA A30
GPU.
Install the NVIDIA A30 GPU into an available PCIe slot on your
server.
Attach the full-height (3U) adapter bracket to the NVIDIA A30
GPU.
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.

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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.

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

Part numbers

Table 1. Ordering information

Part number 4X67A76581 CTO only 4X67A71309

Feature code BQZR BJHG BG3F

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

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 CUDAXTM 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.

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Technical specifications
The following table lists the NVIDIA A30 GPU specifications.

Table 2. A30 specifications Feature GPU Architecture NVIDIA Tensor Cores NVIDIA CUDA Cores (shading units) Double-Precision Performance
Single-Precision Performance
Half-Precision Performance Bfloat16 Integer Performance
GPU Memory Memory Bandwidth ECC Interconnect Bandwidth System Interface Form Factor Multi-Instance GPU (MIG) Max Power Consumption Thermal Solution Compute APIs * With structural sparsity enabled

Specification NVIDIA Ampere 224 third-generation Tensor Cores per GPU 3804 FP32 CUDA Cores per GPU FP64: 5.2 TFLOPS FP64 Tensor Core: 10.3 TFLOPS FP32: 10.3 TFLOPS Tensor Float 32 (TF32): 82 TFLOPS, 165 TFLOPS* FP16: 165 TFLOPS, 330 TFLOPS* 165 TFLOPS, 330 TFLOPS* INT8: 330 TOPS, 661 TOPS* INT4: 661 TOPS, 1321 TOPS* 24 GB HBM2 933 GB/sec Yes 64 GB/sec PCIe Gen 4, x16 lanes PCIe full height/length, double width Up to 4 GPU instances 165 W Passive CUDA, DirectCompute, OpenCL, OpenACC

Server support
The following tables list the ThinkSystem servers that are compatible.

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

4X67A71309 ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge

NNNNNN3 8N2NN3NNNNN4 N NNNNYNNYNNNNNNNNNNN N

4X67A76581 ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC

Description

Part Number

SD665 V3 (7D9P) SD665-N V3 (7DAZ) SD650 V3 (7D7M) SD650-I V3 (7D7L) ST650 V2 (7Z75 / 7Z74) SR630 V2 (7Z70 / 7Z71) SR650 V2 (7Z72 / 7Z73) SR670 V2 (7Z22 / 7Z23) SR635 (7Y98 / 7Y99) SR655 (7Y00 / 7Z01) SR655 Client OS SR645 (7D2Y / 7D2X) SR665 (7D2W / 7D2V) SD630 V2 (7D1K) SD650 V2 (7D1M) SD650-N V2 (7D1N) SN550 V2 (7Z69) SR850 V2 (7D31 / 7D32) SR860 V2 (7Z59 / 7Z60) SR950 (7X11 / 7X12)

4S Dense V2 V2 8S

Dense V3 2S Intel V2 AMD V1

Table 4. Server support (Part 2 of 3)

4X67A71309 ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge

NNN2NNNN3N3 8NN3NNN NNNNNNNNNNNYYNNNYN

4X67A76581 ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC

Description

Part Number

SE350 (7Z46 / 7D1X) SE350 V2 (7DA9) SE360 V2 (7DAM) SE450 (7D8T) ST50 V2 (7D8K / 7D8J) ST250 V2 (7D8G / 7D8F) SR250 V2 (7D7R / 7D7Q) SR635 V3 (7D9H / 7D9G) SR655 V3 (7D9F / 7D9E) SR645 V3 (7D9D / 7D9C) SR665 V3 (7D9B / 7D9A) SR675 V3 (7D9Q / 7D9R) ST650 V3 (7D7B / 7D7A) SR630 V3 (7D72 / 7D73) SR650 V3 (7D75 / 7D76) SR850 V3 (7D97 / 7D96) SR860 V3 (7D94 / 7D93) SR950 V3 (7DC5 / 7DC4)

Intel V3

AMD V3

1S Intel V2

Edge

Table 3. Server support (Part 1 of 3)

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)

Table 5. Server support (Part 3 of 3)

4S V1 1S Intel V1

2S Intel V1

Dense V1

Part Number

Description

4X67A76581 ThinkSystem NVIDIA A30 24GB N N N N N N N N N N N N N 2 4 N N N N PCIe Gen4 Passive GPU w/o CEC

4X67A71309 ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge

NNNNNNNNNNNNNNNNNNN

Operating system support
The following table lists the supported operating systems: Tip: These tables are automatically generated based on data from Lenovo ServerProven.

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

SE450 SR650 V3 SR655 V3 SR665 V3 SR675 V3 SR650 V2 SR670 V2 SR860 V2 SR655 SR665 SR650 (Gen 2) SR650 (Gen 1)

Operating systems Microsoft Windows 10 Microsoft Windows 11 Microsoft Windows Server 2016 Microsoft Windows Server 2019 Microsoft Windows Server 2022 Red Hat Enterprise Linux 7.7 Red Hat Enterprise Linux 7.8 Red Hat Enterprise Linux 7.9 Red Hat Enterprise Linux 8.0 Red Hat Enterprise Linux 8.1 Red Hat Enterprise Linux 8.2 Red Hat Enterprise Linux 8.3 Red Hat Enterprise Linux 8.4 Red Hat Enterprise Linux 8.5 Red Hat Enterprise Linux 8.6 Red Hat Enterprise Linux 8.7 Red Hat Enterprise Linux 9.0 Red Hat Enterprise Linux 9.1 SUSE Linux Enterprise Server 15 SUSE Linux Enterprise Server 15 SP1 SUSE Linux Enterprise Server 15 SP2 SUSE Linux Enterprise Server 15 SP3 SUSE Linux Enterprise Server 15 SP4 Ubuntu 18.04.6 LTS Ubuntu 20.04 LTS Ubuntu 20.04.5 LTS Ubuntu 22.04 LTS VMware vSphere Hypervisor (ESXi) 7.0 VMware vSphere Hypervisor (ESXi) 7.0 U1 VMware vSphere Hypervisor (ESXi) 7.0 U2 VMware vSphere Hypervisor (ESXi) 7.0 U3 VMware vSphere Hypervisor (ESXi) 8.0 1 ISG will not sell/preload this OS, but compatibility and cert only. 2 The OS is not supported with EPYC 7003 processors.

N Y Y N N N N N Y1 N N N NYYYNNNN Y N NN NNNNNYYY Y Y YY YYYYNYYY Y Y YY YYYYYYYY Y Y YY N N N N N N N N Y2 Y2 Y Y N N N N N N N N Y2 Y2 Y Y Y N N N N Y Y Y Y2 Y2 Y Y N N N N N N N N Y2 N Y Y N N N N N N N N Y2 Y2 Y Y N N N N N Y Y Y Y2 Y2 Y Y NNNNNYYY Y Y YY YNNNNYYY Y Y YY YNNNNYYY Y Y YY YYYYYYYY Y Y YY YYYYNYYY Y Y YY YYYYYYYY Y Y YY YYYYNYYY Y Y YY NNNNNNNN N N YY N N N N N N N N Y2 Y2 Y Y NNNNNYYY Y Y YY NNNNNYYY Y Y YY YYYYYYYY Y Y YY YNNNNNNN N N NN NNNNNYNN N N NN YNYYYNNN N N NN YYYYYYYY Y Y YY N N N N N N N N Y2 Y2 Y Y N N N N N N N Y Y2 Y Y Y NNNNNYYY Y Y YY YYYYYYYY Y Y YY YYYYNYYY Y Y YY

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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)

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

Part number Feature code NVIDIA vApps 7S020003WW B1MP 7S020004WW B1MQ 7S020005WW B1MR 7S02003DWW S832 7S02003EWW S833 NVIDIA vPC 7S020009WW B1MV 7S02000AWW B1MW 7S02000BWW B1MX 7S02003FWW S834 7S02003GWW S835 NVIDIA RTX vWS 7S02000FWW B1N1 7S02000GWW B1N2 7S02000HWW B1N3 7S02000LWW B1N6 7S02000MWW B1N7 7S02000NWW B1N8 7S02003BWW S830 7S02003CWW S831 7S02000XWW S6YJ 7S02000YWW S6YK NVIDIA vCS 7S02000ZWW S6YL 7S020010WW S6YM
7S020011WW S6YN
7S020012WW S6YP
7S020013WW S6YQ
7S020014WW S6YR

Description
NVIDIA vApps Perpetual License and SUMS 5Yr, 1 CCU NVIDIA vApps Subscription License 1 Year, 1 CCU NVIDIA vApps Subscription License 3 Years, 1 CCU NVIDIA vApps Subscription License 4 Years, 1 CCU NVIDIA vApps Subscription License 5 Years, 1 CCU
NVIDIA vPC Perpetual License and SUMS 5Yr, 1 CCU NVIDIA vPC Subscription License 1 Year, 1 CCU NVIDIA vPC Subscription License 3 Years, 1 CCU NVIDIA vPC Subscription License 4 Years, 1 CCU NVIDIA vPC Subscription License 5 Years, 1 CCU
NVIDIA RTX vWS Perpetual License and SUMS 5Yr, 1 CCU NVIDIA RTX vWS Subscription License 1 Year, 1 CCU NVIDIA RTX vWS Subscription License 3 Years, 1 CCU NVIDIA RTX vWS EDU Perpetual License and SUMS 5Yr, 1 CCU NVIDIA RTX vWS EDU Subscription License 1 Year, 1 CCU NVIDIA RTX vWS EDU Subscription License 3 Years, 1 CCU NVIDIA RTX vWS EDU Subscription License 4 Years, 1 CCU NVIDIA RTX vWS EDU Subscription License 5 Years, 1 CCU NVIDIA RTX vWS Subscription License 4 Years, 1 CCU NVIDIA RTX vWS Subscription License 5 Years, 1 CCU
NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 1 Year NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 3 Years NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 5 Years NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 1 Year NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 3 Years NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 5 Years

NVIDIA Omniverse Software (OVE)

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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 OmniverseTM 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.

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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)

Part number Feature code Omniverse Enterprise Nucleus 7S02002MWW S82A 7S02002NWW S82B 7S02002PWW S82C 7S02002QWW S82D 7S02002RWW S82E
7S02002SWW S82F
7S02002TWW S82G
7S02002UWW S82H
Omniverse Enterprise Creator 7S02002VWW S82J 7S02002WWW S82K 7S02002XWW S82L 7S02002YWW S82M 7S02002ZWW S82N 7S020030WW S82P 7S020031WW S82Q 7S020032WW S82R Omniverse Enterprise Reviewer 7S020033WW S82S 7S020034WW S82T 7S020035WW S82U 7S020036WW S82V 7S020037WW S82W 7S020038WW S82X 7S020039WW S82Y 7S02003AWW S82Z

Description
NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 1 Year NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 3 Years NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 4 Years NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, 5 Years NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 1 Year NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 3 Years NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 4 Years NVIDIA Omniverse Enterprise Nucleus Subscription per Named User, EDU, 5 Years
NVIDIA Omniverse Enterprise Creator Subscription per CCU, 1 Year NVIDIA Omniverse Enterprise Creator Subscription per CCU, 3 Years NVIDIA Omniverse Enterprise Creator Subscription per CCU, 4 Years NVIDIA Omniverse Enterprise Creator Subscription per CCU, 5 Years NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 1 Year NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 3 Years NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 4 Years NVIDIA Omniverse Enterprise Creator Subscription per CCU, EDU, 5 Years
NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 1 Year NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 3 Years NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 4 Years NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, 5 Years NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 1 Year NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 3 Years NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 4 Years NVIDIA Omniverse Enterprise Reviewer Subscription per CCU, EDU, 5 Years

NVIDIA AI Enterprise Software (NVAIE)

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Lenovo offers the NVIDIA AI Enterprise cloud-native enterprise software. NVIDIA AI Enterprise isan end-toend, cloud-native suite of AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere and bare-metal withNVIDIA-Certified SystemsTM. It includes key enabling technologiesfrom 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)

Features Per CPU Socket Licensing Compute Virtualization Windows Guest OS Support Linux Guest OS Support Maximum Displays Maximum Resolution OpenGL and Vulkan CUDA and OpenCL Support ECC and Page Retirement MIG GPU Support Multi-vGPU NVIDIA GPUDirect Peer-to-Peer over NVLink GPU Pass Through Support Baremetal Support AI and Data Science applications and Frameworks Cloud Native ready

Supported in NVIDIA AI Enterprise Yes Supported No support Supported 1 4096 x 2160 (4K) In-situ Graphics only Supported Supported Supported Supported Supported Supported Supported Supported Supported Supported

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)

Part number Feature code AI Enterprise Perpetual License 7S020019WW S6YW 7S02001AWW S6YX

Description
NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, 1 Year NVIDIA AI Enterprise Perpetual License and Support per CPU Socket, 3 Years

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

Part number Feature code Description

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

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Part number Feature code 7S09001BWW S92B 7S09002QWW S9UY 7S09002RWW S9UZ 7S09001CWW S92C 7S09002SWW S9V0 7S09002TWW S9V1 7S09001DWW S92D
7S09002UWW S9V2
7S09002VWW S9V3

Description NVIDIA HPC Compiler Premier Support Services, EDU, 1 Year NVIDIA HPC Compiler Premier Support Services, EDU, 3 Years NVIDIA HPC Compiler Premier Support Services, EDU, 5 Years NVIDIA HPC Compiler Premier Support Services – Additional Contact, 1 Year NVIDIA HPC Compiler Premier Support Services – Additional Contact, 3 Years NVIDIA HPC Compiler Premier Support Services – Additional Contact, 5 Years NVIDIA HPC Compiler Premier Support Services – Additional Contact, EDU, 1 Year NVIDIA HPC Compiler Premier Support Services – Additional Contact, EDU, 3 Years 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

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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

ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

Notices
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ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU

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ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU