Abstract
The NVIDIA A800 Tensor Core GPU, for customers in China, Hong Kong and Macau, delivers outstanding acceleration and flexibility to power the highest-performing elastic data centers for AI, data analytics, and HPC applications. As the engine of the NVIDIA data center platform, A800 provide up to significantly higher performance over V100 GPUs and can efficiently scale up to thousands of GPUs, or be partitioned into seven isolated GPU instances to accelerate workloads of all sizes.
This product guide provides essential presales information to understand the NVIDIA A800 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 A800 GPU and consider its use in IT solutions.
Withdrawn: The GPUs described in this product guide are now withdrawn
Change History
Changes in the October 26, 2023 update:
- The following GPUs are now withdrawn:
- ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU, 4X67A86324
- ThinkSystem NVIDIA HGX A800 80GB 500W 4-GPU Board, BVZX
Introduction
The NVIDIA A800 Tensor Core GPU, for customers in China, Hong Kong and Macau, delivers outstanding acceleration and flexibility to power the highest-performing elastic data centers for AI, data analytics, and HPC applications. As the engine of the NVIDIA data center platform, A800 provide up to significantly higher performance over V100 GPUs and can efficiently scale up to thousands of GPUs, or be partitioned into seven isolated GPU instances to accelerate workloads of all sizes.
The A800 is offered in China, Hong Kong and Macau, however the A100 is not offered in these markets. The only difference between the A100 and A800 is the speed of the NVLink interface: The NVLink on the A100 operates at 600 GB/s, where as the NVLink on the A800 operates at 400 GB/s.
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 A800 is available in both double-wide PCIe adapter form factor and in SXM form factor. SXM is used in Lenovo's Neptune direct-water-cooled ThinkSystem SD650-N V2 server for the ultimate in GPU performance and heat management.
Part number information
The following table shows the part numbers for the A800 GPUs.
Withdrawn: The GPUs listed below are now withdrawn from marketing.
Part number | Feature code | Description |
---|---|---|
PCIe double-wide adapters | ||
4X67A86324 | BUGD | ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU |
NVLink bridge for PCIe adapters | ||
4X67A71309 | BG3F | ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge |
SXM modules | ||
None | BVZX | ThinkSystem NVIDIA HGX A800 80GB 500W 4-GPU Board |
The PCIe option part numbers includes the following:
- One NVIDIA A800 GPU with full-height (3U) adapter bracket attached
- Documentation
The following figure shows the NVIDIA HGX A800 4-GPU Board in the water-cooled ThinkSystem SD650-N V2 server
Figure 2. NVIDIA HGX A800 4-GPU Board in the water-cooled ThinkSystem SD650-N V2 server
Features
The ThinkSystem NVIDIA A800 PCIe 4.0 GPU delivers unprecedented acceleration—at every scale—to power the world’s highest-performing elastic data centers for AI, data analytics, and high-performance computing (HPC) applications. The NVIDIA A800 GPU can efficiently scale up or be partitioned into seven isolated GPU instances with Multi-Instance GPU (MIG), providing a unified platform that enables elastic data centers to dynamically adjust to shifting workload demands.
NVIDIA A800 Tensor Core technology supports a broad range of math precisions, providing a single accelerator for every workload. The latest generation A800 80GB doubles GPU memory and debuts the world’s fastest memory bandwidth at 2 terabytes per second (TB/s), speeding time to solution for the largest models and most massive datasets.
A800 is part of the complete NVIDIA data center solution that incorporates building blocks across hardware, networking, software, libraries, and optimized AI models and applications from the NVIDIA NGC™ catalog. Representing the most powerful end-to-end AI and HPC platform for data centers, it allows researchers to deliver real-world results and deploy solutions into production at scale.
- NVIDIA Ampere Architecture
Whether using MIG to partition an A800 GPU into smaller instances or NVLink to connect multiple GPUs to speed large-scale workloads, A800 can readily handle different-sized acceleration needs, from the smallest job to the biggest multi-node workload. A800’s versatility means IT managers can maximize the utility of every GPU in their data center, around the clock.
- Third-Generation Tensor Cores
NVIDIA A800 delivers 312 teraFLOPS (TFLOPS) of deep learning performance. That’s 20X the Tensor floating-point operations per second (FLOPS) for deep learning training and 20X the Tensor tera operations per second (TOPS) for deep learning inference compared to NVIDIA Volta GPUs.
- Next-Generation NVLink
NVIDIA NVLink in A800 delivers higher throughput compared to the previous generation. When combined with NVIDIA NVSwitch, A800 GPUs can be interconnected at up to 400 gigabytes per second (GB/sec), unleashing the highest application performance possible on a single server. NVLink is available in SXM GPUs via HGX server boards and in PCIe GPUs via an NVLink Bridge for up to 2 GPUs.
- Multi-Instance GPU (MIG)
An A800 GPU can be partitioned into as many as seven GPU instances, fully isolated at the hardware level with their own high-bandwidth memory, cache, and compute cores. MIG gives developers access to breakthrough acceleration for all their applications, and IT administrators can offer right-sized GPU acceleration for every job, optimizing utilization and expanding access to every user and application.
- High-Bandwidth Memory (HBM2E)
With up to 80 GB of HBM2e, A800 delivers the world’s fastest GPU memory bandwidth of over 2TB/s, as well as a DRAM utilization efficiency of 95%. A800 delivers 1.7X higher memory bandwidth over the previous generation.
- Structural Sparsity
AI networks have millions to billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros, making the models “sparse” without compromising accuracy. Tensor Cores in A800 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 A800 GPU specifications.
Feature | A800 80GB PCIe | A800 80GB SXM 4-GPU board (per GPU) |
---|---|---|
GPU Architecture | NVIDIA Ampere | |
NVIDIA Tensor Cores | 512 third-generation Tensor Cores per GPU | |
NVIDIA CUDA Cores | 8192 FP32 CUDA Cores per GPU | |
Double-Precision Performance | FP64: 9.7 TFLOPS FP64 Tensor Core: 19.5 TFLOPS |
|
Single-Precision Performance | FP32: 19.5 TFLOPS Tensor Float 32 (TF32): 156 TFLOPS, 312 TFLOPS* |
|
Half-Precision Performance | 312 TFLOPS, 624 TFLOPS* | |
Bfloat16 | 312 TFLOPS, 624 TFLOPS* | |
Integer Performance | INT8: 624 TOPS, 1,248 TOPS* INT4: 1,248 TOPS, 2,496 TOPS* |
|
GPU Memory | 80 GB HBM2 | |
Memory Bandwidth | 1,935 GB/s | 2,039 GB/s |
ECC | Yes | |
Interconnect Bandwidth | NVLink: 400 GB/s PCIe: 64 GB/s |
NVLink: 400 GB/s PCIe: 64 GB/s |
System Interface | PCIe Gen 4, x16 lanes | |
Form Factor | PCIe full height/length, double width | 4x SXM4 modules |
Multi-Instance GPU (MIG) | Up to 7 GPU instances, 10GB each | |
Max Power Consumption | 300 W | 500W |
Thermal Solution | Passive | Water cooled |
Compute APIs | CUDA, DirectCompute, OpenCL, OpenACC |
* With structural sparsity enabled
Server support
The following tables list the ThinkSystem servers that are compatible.
NVLink server support: The NVLink Ampere bridge is supported with additional NVIDIA A-series GPUs. As a result, there are additional servers listed as supporting the bridge that don't support the A800 GPU.
Part Number | Description | AMD V3 | 2S Intel V3/V4 | 4S 8S Intel V3 | Multi Node V3/V4 | 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) |
SR630 V4 (7DG8 / 7DG9) |
SR850 V3 (7D97 / 7D96) |
SR860 V3 (7D94 / 7D93) |
SR950 V3 (7DC5 / 7DC4) |
SD535 V3 (7DD8 / 7DD1) |
SD530 V3 (7DDA / 7DD3) |
SD550 V3 (7DD9 / 7DD2) |
SD520 V4 (7DFZ / 7DFY) |
SR670 V2 (7Z22 / 7Z23) |
SR675 V3 (7D9Q / 7D9R) |
SR680a V3 (7DHE) |
SR685a V3 (7DHC) |
SR780a V3 (7DJ5) |
||
4X67A86324 | ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU | N | N | N | N | N | N | 3 | N | 2 | 4 | N | N | N | N | N | 8 | 8 | 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 | 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) |
||
4X67A86324 | ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | 3 |
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) |
||
4X67A86324 | ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU | N | N | N | N | 3 | N | N | N | N | N | 4 | 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 | 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) |
||
4X67A86324 | ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU | N | N | N | N | N | N | 2 | 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 |
Operating system support
The following tables list the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
Operating systems | SR650 V3 (4th Gen Xeon) |
SR650 V3 (5th Gen Xeon) |
SR675 V3 |
SR850 V3 |
SR860 V3 |
SR650 V2 |
SR670 V2 |
SR860 V2 |
SR665 |
SR650 (Xeon Gen 2) |
---|---|---|---|---|---|---|---|---|---|---|
Microsoft Windows 10 | N | Y | N | N | N | N | N | N | N | N |
Microsoft Windows 11 | N | Y | N | N | N | N | N | N | N | N |
Microsoft Windows Server 2019 | Y | Y | Y | Y 2 | Y 2 | Y | Y | Y | Y 3 | Y |
Microsoft Windows Server 2022 | Y | Y | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.3 | N | N | N | N | N | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.4 | N | N | N | N | N | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.5 | N | N | N | N | N | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.6 | Y | N | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.7 | Y | N | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.8 | Y | Y | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 8.9 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 9.0 | Y | N | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 9.1 | Y | N | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 9.2 | Y | Y | Y | Y | Y | Y | Y | Y | Y 3 | Y |
Red Hat Enterprise Linux 9.3 | Y | Y | N | Y | Y | Y | Y | Y | Y | Y |
SUSE Linux Enterprise Server 15 SP3 | N | N | N | N | N | Y | Y | Y | Y 3 | Y |
SUSE Linux Enterprise Server 15 SP4 | Y | N | Y | Y | Y | Y | Y | Y | Y 3 | Y |
SUSE Linux Enterprise Server 15 SP5 | Y | Y | N | Y | Y | Y | Y | Y | Y 3 | Y |
Ubuntu 18.04.5 LTS | N | N | N | N | N | Y | Y | N | N | N |
Ubuntu 20.04 LTS | N | N | N | N | N | Y | N | N | N | N |
Ubuntu 20.04.5 LTS | N | N | Y | Y | Y | N | N | N | N | N |
Ubuntu 22.04 LTS | Y | Y 1 | Y | Y | Y | Y | Y | Y | Y 3 | Y |
VMware vSphere Hypervisor (ESXi) 7.0 U3 | Y | Y | Y | Y | Y | Y | Y | Y | Y 3 | Y |
VMware vSphere Hypervisor (ESXi) 8.0 | Y | N | N | N | N | Y | Y | Y | Y 3 | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U1 | Y | N | Y | Y | Y | Y | Y | Y | Y 3 | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U2 | Y | Y | Y | Y | Y | Y | Y | Y | Y 3 | Y |
1 Ubuntu 22.04.3 LTS/Ubuntu 22.04.4 LTS
2 For limitation, please refer Support Tip TT1591
3 HW is not supported with EPYC 7002 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 |
7S020044WW | SD5T | NVIDIA Omniverse Enterprise Subscription per GPU, 5 Year |
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 |
7S020045WW | SD5U | NVIDIA Omniverse Enterprise Subscription per GPU EDU, 5 Year |
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 power cables needed for the NVIDIA A800 GPU are included with the supported servers.
The PCIe adapter option part number do 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 A800 GPU has the following regulatory approvals:
- RCM
- BSMI
- CE
- FCC
- ICES
- KCC
- cUL, UL
- VCCI
Operating environment
The NVIDIA A800 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.
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®
Neptune®
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.