Author
Published
9 Jul 2023Form Number
LP1774PDF size
16 pages, 736 KBAbstract
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.
This product guide provides essential presales information to understand the NVIDIA A30 GPU and its key features, specifications, and compatibility. This guide is intended for technical specialists, sales specialists, sales engineers, IT architects, and other IT professionals who want to learn more about the NVIDIA A30 GPU and consider its use in IT solutions.
Introduction
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.
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 number | Feature code | Description |
---|---|---|
4X67A76581 | BQZR | ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC |
CTO only | BJHG | ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU |
4X67A71309 | BG3F | 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 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.
Feature | Specification |
---|---|
GPU Architecture | NVIDIA Ampere |
NVIDIA Tensor Cores | 224 third-generation Tensor Cores per GPU |
NVIDIA CUDA Cores (shading units) | 3804 FP32 CUDA Cores per GPU |
Double-Precision Performance | FP64: 5.2 TFLOPS 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.
Part Number | Description | AMD V3 | 2S Intel V3 | 4S 8S Intel V3 | Multi Node | GPU Rich | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SR635 V3 (7D9H / 7D9G) |
SR655 V3 (7D9F / 7D9E) |
SR645 V3 (7D9D / 7D9C) |
SR665 V3 (7D9B / 7D9A) |
ST650 V3 (7D7B / 7D7A) |
SR630 V3 (7D72 / 7D73) |
SR650 V3 (7D75 / 7D76) |
SR850 V3 (7D97 / 7D96) |
SR860 V3 (7D94 / 7D93) |
SR950 V3 (7DC5 / 7DC4) |
SD535 V3 (7DD8 / 7DD1) |
SD530 V3 (7DDA / 7DD3) |
SD550 V3 (7DD9 / 7DD2) |
SR670 V2 (7Z22 / 7Z23) |
SR675 V3 (7D9Q / 7D9R) |
SR680a V3 (7DHE) |
SR685a V3 (7DHC) |
SR780a V3 (7DJ5) |
||
4X67A76581 | ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC | N | 3 | N | 3 | N | N | 3 | N | N | N | 8 | 8 | N | N | 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 | Y | Y | N | N | N |
Part Number | Description | 1S V3 | Edge | Super Computing | 1S Intel V2 | 2S Intel V2 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ST50 V3 (7DF4 / 7DF3) |
ST250 V3 (7DCF / 7DCE) |
SR250 V3 (7DCM / 7DCL) |
SE350 (7Z46 / 7D1X) |
SE350 V2 (7DA9) |
SE360 V2 (7DAM) |
SE450 (7D8T) |
SE455 V3 (7DBY) |
SD665 V3 (7D9P) |
SD665-N V3 (7DAZ) |
SD650 V3 (7D7M) |
SD650-I V3 (7D7L) |
SD650-N V3 (7D7N) |
ST50 V2 (7D8K / 7D8J) |
ST250 V2 (7D8G / 7D8F) |
SR250 V2 (7D7R / 7D7Q) |
ST650 V2 (7Z75 / 7Z74) |
SR630 V2 (7Z70 / 7Z71) |
SR650 V2 (7Z72 / 7Z73) |
||
4X67A76581 | ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC | N | N | N | N | N | N | N | 2 | N | N | N | N | N | N | N | 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 |
Part Number | Description | AMD V1 | Dense V2 | 4S V2 | 8S | 4S V1 | 1S Intel V1 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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) |
SR850 (7X18 / 7X19) |
SR850P (7D2F / 2D2G) |
SR860 (7X69 / 7X70) |
ST50 (7Y48 / 7Y50) |
ST250 (7Y45 / 7Y46) |
SR150 (7Y54) |
SR250 (7Y52 / 7Y51) |
||
4X67A76581 | ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC | 3 | N | 2 | N | N | 3 | N | N | N | N | N | 4 | N | N | N | 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 |
Part Number | Description | 2S Intel V1 | Dense V1 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 2 | 4 | N | 2 | 4 | N | N | N |
4X67A71309 | ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge | 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.
Operating systems | SE450 |
SR650 V3 (4th Gen Xeon) |
SR650 V3 (5th Gen Xeon) |
SR655 V3 |
SR665 V3 |
SR675 V3 |
SR650 V2 |
SR670 V2 |
SR860 V2 |
SR655 |
SR665 |
SR650 (Xeon Gen 2) |
SR650 (Xeon Gen 1) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Microsoft Windows 10 | N | N | Y | Y | Y | N | N | N | N | Y 1 | N | N | N |
Microsoft Windows 11 | N | N | Y | Y | Y | N | N | N | N | Y | N | N | N |
Microsoft Windows Server 2016 | N | N | N | N | N | N | Y | Y | Y | Y | Y | Y | Y |
Microsoft Windows Server 2019 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Microsoft Windows Server 2022 | Y | 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 | N | Y 2 | Y 2 | Y | Y |
Red Hat Enterprise Linux 7.8 | N | 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 | N | Y | Y | Y | Y 2 | Y 2 | Y | Y |
Red Hat Enterprise Linux 8.0 | N | 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 | N | Y 2 | Y 2 | Y | Y |
Red Hat Enterprise Linux 8.2 | N | 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 | N | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.4 | Y | N | N | N | N | N | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.5 | Y | N | N | N | N | N | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.6 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.7 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.8 | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.9 | N | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | N |
Red Hat Enterprise Linux 9.0 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 9.1 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 9.2 | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 9.3 | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | N |
SUSE Linux Enterprise Server 15 | N | 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 | N | Y 2 | Y 2 | Y | Y |
SUSE Linux Enterprise Server 15 SP2 | N | N | N | N | N | N | Y | Y | Y | Y | Y | Y | Y |
SUSE Linux Enterprise Server 15 SP3 | N | N | N | N | N | N | Y | Y | Y | Y | Y | Y | Y |
SUSE Linux Enterprise Server 15 SP4 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
SUSE Linux Enterprise Server 15 SP5 | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y |
Ubuntu 18.04.6 LTS | Y | N | N | N | N | N | N | N | N | N | N | N | N |
Ubuntu 20.04 LTS | N | N | N | N | N | N | Y | N | N | N | N | N | N |
Ubuntu 20.04.5 LTS | Y | N | N | Y | Y | Y | N | N | N | N | N | N | N |
Ubuntu 22.04 LTS | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 7.0 | N | 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 | N | Y | Y 2 | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 7.0 U2 | N | 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 | Y |
VMware vSphere Hypervisor (ESXi) 8.0 | Y | Y | N | Y | Y | N | Y | Y | Y | Y | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U1 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U2 | Y | Y | Y | Y | Y | Y | 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)
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.
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 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.
Part number | Feature code 7S02CTO1WW |
Description |
---|---|---|
NVIDIA vApps | ||
7S020003WW | B1MP | NVIDIA vApps SUMS ONLY 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 SUMS 5Yr ONLY, 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 SUMS ONLY 5Yr, 1 CCU |
7S02000GWW | B1N2 | NVIDIA RTX vWS Subsc Lic 1Yr 1 CCU |
7S02000HWW | B1N3 | NVIDIA RTX vWS Subscription License 3 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 |
7S02000LWW | B1N6 | NVIDIA RTX vWS EDU SUMS ONLY 5Y, 1CCU |
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 |
NVIDIA Omniverse Software (OVE)
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 and Lenovo offer a robust, scalable solution for deploying Omniverse Enterprise, accommodating a wide range of professional needs. This document details the critical components, deployment options, and support available, ensuring an efficient and effective Omniverse experience.
Deployment options cater to varying team sizes and workloads. Using Lenovo NVIDIA-Certified Systems™ and Lenovo OVX nodes which are meticulously designed to manage scale and complexity, ensures optimal performance for Omniverse tasks.
Deployment options include:
- Workstations: NVIDIA-Certified Workstations with RTX 6000 Ada GPUs for desktop environments.
- Data Center Solutions: Deployment with Lenovo OVX nodes or NVIDIA-Certified Servers equipped with L40, L40S or A40 GPUs for centralized, high-capacity needs.
NVIDIA Omniverse Enterprise includes the following components and features:
- Platform Components: Kit, Connect, Nucleus, Simulation, RTX Renderer.
- Foundation Applications: USD Composer, USD Presenter.
- Omniverse Extensions: Connect Sample & SDK.
- Integrated Development Environment (IDE)
- Nucleus Configuration: Workstation, Enterprise Nucleus Server (supports up to 8 editors per scene); Self-Service Public Cloud Hosting using Containers.
- Omniverse Farm: Supports batch workloads up to 8 GPUs.
- Enterprise Services: Authentication (SSO/SSL), Navigator Microservice, Large File Transfer, User Accounts SAML/Account Directory.
- User Interface: Workstation & IT Managed Launcher.
- Support: NVIDIA Enterprise Support.
- Deployment Scenarios: Desktop to Data Center: Workstation deployment for building and designing, with options for physical or virtual desktops. For batch tasks, rendering, and SDG workloads that require headless compute, Lenovo OVX nodes are recommended.
The following part numbers are for a subscription license which is active for a fixed period as noted in the description. The license is for a named user which means the license is for named authorized users who may not re-assign or share the license with any other person.
Part number | Feature 7S02CTO1WW |
Description |
---|---|---|
7S02003ZWW | SCX0 | NVIDIA Omniverse Enterprise Subscription per GPU, 1 Year |
7S020042WW | SCX3 | NVIDIA Omniverse Enterprise Subscription per GPU, 3 Years |
7S020041WW | SCX2 | NVIDIA Omniverse Enterprise Subscription per GPU, INC, 1 Year |
7S020040WW | SCX1 | NVIDIA Omniverse Enterprise Subscription per GPU, EDU, 1 Year |
7S020043WW | SCX4 | NVIDIA Omniverse Enterprise Subscription per GPU, EDU, 3 Years |
NVIDIA AI Enterprise Software
Lenovo offers the NVIDIA AI Enterprise (NVAIE) 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-GPU 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.
Features | Supported in NVIDIA AI Enterprise |
---|---|
Per GPU Licensing | Yes |
Compute Virtualization | Supported |
Windows Guest OS Support | No support |
Linux Guest OS Support | Supported |
Maximum Displays | 1 |
Maximum Resolution | 4096 x 2160 (4K) |
OpenGL and Vulkan | In-situ Graphics only |
CUDA and OpenCL Support | Supported |
ECC and Page Retirement | Supported |
MIG GPU Support | Supported |
Multi-vGPU | Supported |
NVIDIA GPUDirect | Supported |
Peer-to-Peer over NVLink | Supported |
GPU Pass Through Support | Supported |
Baremetal Support | Supported |
AI and Data Science applications and Frameworks | Supported |
Cloud Native ready | Supported |
Note: Maximum 10 concurrent VMs per product license
The following table lists the ordering part numbers and feature codes.
Part number | Feature code 7S02CTO1WW |
Description |
---|---|---|
AI Enterprise Perpetual License | ||
7S020019WW | S6YW | NVIDIA AI Enterprise Perpetual License and Support per GPU, 1 Year |
7S02001AWW | S6YX | NVIDIA AI Enterprise Perpetual License and Support per GPU, 3 Years |
7S02001BWW | S6YY | NVIDIA AI Enterprise Perpetual License and Support per GPU, 5 Years |
7S02001CWW | S6YZ | NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 1 Year |
7S02001DWW | S6Z0 | NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 3 Years |
7S02001EWW | S6Z1 | NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 5 Years |
AI Enterprise Subscription License | ||
7S02001FWW | S6Z2 | NVIDIA AI Enterprise Subscription License and Support per GPU, 1 Year |
7S02001GWW | S6Z3 | NVIDIA AI Enterprise Subscription License and Support per GPU, 3 Years |
7S02001HWW | S6Z4 | NVIDIA AI Enterprise Subscription License and Support per GPU, 5 Years |
7S02001JWW | S6Z5 | NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 1 Year |
7S02001KWW | S6Z6 | NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 3 Years |
7S02001LWW | S6Z7 | NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 5 Years |
Find more information in the NVIDIA AI Enterprise Sizing Guide.
NVIDIA HPC Compiler Software
Part number | Feature code 7S09CTO6WW |
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 |
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.
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/
Trademarks
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:
Lenovo®
ServerProven®
ThinkAgile®
ThinkSystem®
The following terms are trademarks of other companies:
AMD is a trademark of Advanced Micro Devices, Inc.
Intel® and Xeon® are trademarks of Intel Corporation or its subsidiaries.
Linux® is the trademark of Linus Torvalds in the U.S. and other countries.
Microsoft®, Windows Server®, and Windows® are trademarks of Microsoft Corporation in the United States, other countries, or both.
Other company, product, or service names may be trademarks or service marks of others.
Configure and Buy
Full Change History
Adapter announced: May 3, 2021