Abstract
The ThinkSystem NVIDIA H800 PCIe Gen5 GPU delivers high performance, scalability, and security for every workload. It uses breakthrough innovations in the NVIDIA Hopper™ architecture to deliver industry-leading conversational AI, speeding up large language models by 30X over the previous generation.
This product guide provides essential presales information to understand the NVIDIA H800 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 H800 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Withdrawn: The GPUs described in this product guide are now withdrawn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 31, 2023 update:
- The H800 GPUs are now withdrawn from marketing.
Introduction
The ThinkSystem NVIDIA H800 PCIe Gen5 GPU delivers high performance, scalability, and security for every workload. It uses breakthrough innovations in the NVIDIA Hopper™ architecture to deliver industry-leading conversational AI, speeding up large language models by 30X over the previous generation.
The H800 is offered in China, Hong Kong and Macau, however the H100 is not offered in these markets. The differences between the H100 and H800 are the NVLink interface speed and the FP64 performance.
The NVIDIA H800 GPU features fourth-generation Tensor Cores and the Transformer Engine with FP8 precision, further extending NVIDIA’s market-leading AI leadership with up to 9X faster training and an incredible 30X inference speedup on large language models. For high-performance computing (HPC) applications, The GPUs triple the floating-point operations per second (FLOPS) of FP64 and add dynamic programming (DPX) instructions to deliver up to 7X higher performance.
The following figure shows the NVIDIA H800 GPU in double-wide PCIe adapter form factor.
Did you know?
The NVIDIA H800 NVL Tensor Core GPU is optimized for Large Language Model (LLM) Inferences, with its high compute density, high memory bandwidth, high energy efficiency, and unique NVLink architecture.
Part number information
The following table shows the part numbers for the NVIDIA H800 GPU.
Withdrawn: The GPUs listed below are now withdrawn from marketing.
Part number | Feature code | Description |
---|---|---|
Double-wide PCIe adapters | ||
4X67A89326 | BXEJ | ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU |
4X67A86451 | BUJW | ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU |
NVLink bridge (order 3 per pair of GPUs) | ||
4X67A71309 | BG3F | ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge |
The PCIe option part numbers includes the following:
- One GPU with full-height (3U) adapter bracket attached
- Documentation
Features
The ThinkSystem NVIDIA H800 PCIe Gen5 GPU delivers high performance, scalability, and security for every workload. The GPU uses breakthrough innovations in the NVIDIA Hopper™ architecture to deliver industry-leading conversational AI, speeding up large language models (LLMs) by 30X over the previous generation.
The NVIDIA H800 GPU for mainstream servers comes with a five-year software subscription, including enterprise support, to the NVIDIA AI Enterprise software suite, simplifying AI adoption with the highest performance. This ensures organizations have access to the AI frameworks and tools they need to build accelerated AI workflows such as AI chatbots, recommendation engines, vision AI, and more.
The NVIDIA H800 GPU features fourth-generation Tensor Cores and the Transformer Engine with FP8 precision, further extending NVIDIA’s market-leading AI leadership with up to 9X faster training and an incredible 30X inference speedup on large language models. For high-performance computing (HPC) applications, the GPU triples the floating-point operations per second (FLOPS) of FP64 and adds dynamic programming (DPX) instructions to deliver up to 7X higher performance. With second-generation Multi-Instance GPU (MIG), built-in NVIDIA confidential computing, and NVIDIA NVLink Switch System, the NVIDIA H800 GPU securely accelerates all workloads for every data center from enterprise to exascale.
Key features of the NVIDIA H800 GPU:
- NVIDIA H800 Tensor Core GPU
Built with 80 billion transistors using a cutting-edge TSMC 4N process custom tailored for NVIDIA’s accelerated compute needs, H800 is the world’s most advanced chip ever built. It features major advances to accelerate AI, HPC, memory bandwidth, interconnect, and communication at data center scale.
- Transformer Engine
The Transformer Engine uses software and Hopper Tensor Core technology designed to accelerate training for models built from the world’s most important AI model building block, the transformer. Hopper Tensor Cores can apply mixed FP8 and FP16 precisions to dramatically accelerate AI calculations for transformers.
- NVLink Switch System
The NVLink Switch System enables the scaling of multi-GPU input/output (IO) across multiple servers. The system delivers up to 9X higher bandwidth than InfiniBand HDR on the NVIDIA Ampere architecture.
- NVIDIA Confidential Computing
NVIDIA Confidential Computing is a built-in security feature of Hopper that makes NVIDIA H800 the world’s first accelerator with confidential computing capabilities. Users can protect the confidentiality and integrity of their data and applications in use while accessing the unsurpassed acceleration of H800 GPUs.
- Second-Generation Multi-Instance GPU (MIG)
The Hopper architecture’s second-generation MIG supports multi-tenant, multi-user configurations in virtualized environments, securely partitioning the GPU into isolated, right-size instances to maximize quality of service (QoS) for 7X more secured tenants.
- DPX Instructions
Hopper’s DPX instructions accelerate dynamic programming algorithms by 40X compared to CPUs and 7X compared to NVIDIA Ampere architecture GPUs. This leads to dramatically faster times in disease diagnosis, real-time routing optimizations, and graph analytics.
Technical specifications
The following table lists the GPU processing specifications and performance of the NVIDIA H800 GPU.
Feature | H800 80GB PCIe adapter | H800 NVL 94GB PCIe adapter |
---|---|---|
GPU Architecture | NVIDIA Hopper | NVIDIA Hopper |
NVIDIA Tensor Cores | 528 fourth-generation Tensor Cores per GPU | TBD |
NVIDIA CUDA Cores (shading units) | 18,432 FP32 CUDA Cores per GPU | TBD |
Peak FP64 performance | 0.8 TFLOPS | TBD |
Peak FP64 Tensor Core performance | 0.8 TFLOPS | TBD |
Peak FP32 performance | 51 TFLOPS | TBD |
Peak Tensor Float 32 (TF32) performance | 756 TFLOPS* | TBD |
Peak FP16 performance | 1,513 TFLOPS* | TBD |
Peak Bfloat16 (BF16) performance | 1,513 TFLOPS* | TBD |
Peak FP8 performance | 3,026 TFLOPS* | TBD |
INT8 Integer Performance | 3,026 TOPS* | TBD |
GPU Memory | 80 GB HBM2e | 94 GB HBM3 |
Memory Bandwidth | 2 TB/sec | 3.9 TB/sec |
ECC | Yes | Yes |
Interconnect Bandwidth | NVLink: 400 GB/sec PCIe Gen5: 128 GB/sec |
NVLink: 400 GB/sec PCIe Gen5: 128 GB/sec |
System Interface | PCIe Gen 5.0, x16 lanes | PCIe Gen 5.0, x16 lanes |
Form Factor | PCIe full height/length, double width | PCIe full height/length, double width |
Multi-Instance GPU (MIG) | Up to 7 GPU instances, 10GB each | Up to 7 GPU instances, 12GB each |
Max Power Consumption | 350 W | 400 W |
Thermal Solution | Passive | Passive |
Compute APIs | CUDA, DirectCompute, OpenCL, OpenACC | 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 and H-series GPUs. As a result, there are additional servers listed as supporting the bridge that don't support the H800 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) |
||
4X67A89326 | ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | 8 | N | N | N |
4X67A86451 | ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | 3 | N | 2 | 4 | N | N | N | N | N | N | 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) |
SC750 V4 (7DDJ) |
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) |
||
4X67A89326 | ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
4X67A86451 | ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | N | N | N | 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 | 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) |
||
4X67A89326 | ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
4X67A86451 | ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | N | N | 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 | 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) |
||
4X67A89326 | ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N |
4X67A86451 | ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU | N | 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 |
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 | SR650 V3 (4th Gen Xeon) |
SR650 V3 (5th Gen Xeon) |
SR675 V3 |
SR850 V3 |
SR860 V3 |
---|---|---|---|---|---|
Microsoft Windows 10 | N | Y | N | N | N |
Microsoft Windows 11 | N | Y | N | N | N |
Microsoft Windows Server 2019 | Y | Y | Y | Y 2 | Y 2 |
Microsoft Windows Server 2022 | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.6 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 8.7 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 8.8 | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.9 | Y | Y | N | Y | Y |
Red Hat Enterprise Linux 9.0 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 9.1 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 9.2 | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 9.3 | Y | Y | N | Y | Y |
SUSE Linux Enterprise Server 15 SP4 | Y | N | Y | Y | Y |
SUSE Linux Enterprise Server 15 SP5 | Y | Y | N | Y | Y |
Ubuntu 20.04.5 LTS | N | N | Y | Y | Y |
Ubuntu 22.04 LTS | Y | Y 1 | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 7.0 U3 | Y | Y | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 8.0 | Y | N | N | N | N |
VMware vSphere Hypervisor (ESXi) 8.0 U1 | Y | N | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U2 | Y | Y | Y | Y | Y |
1 Ubuntu 22.04.3 LTS/Ubuntu 22.04.4 LTS
2 For limitation, please refer Support Tip TT1591
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 |
NVIDIA part number | Description |
---|---|---|---|
7S02003ZWW | SCX0 | 721-OV7006+P3CMI12 | NVIDIA Omniverse Enterprise Subscription per GPU, 1 Year |
7S020042WW | SCX3 | 721-OV7006+P3CMI36 | NVIDIA Omniverse Enterprise Subscription per GPU, 3 Years |
7S020044WW | SD5T | 721-OV7006+P3CMI60 | NVIDIA Omniverse Enterprise Subscription per GPU, 5 Year |
7S020041WW | SCX2 | 721-OV7006+P3INI12 | NVIDIA Omniverse Enterprise Subscription per GPU, INC, 1 Year |
7S020040WW | SCX1 | 721-OV7006+P3EDI12 | NVIDIA Omniverse Enterprise Subscription per GPU, EDU, 1 Year |
7S020043WW | SCX4 | 721-OV7006+P3EDI36 | NVIDIA Omniverse Enterprise Subscription per GPU, EDU, 3 Years |
7S020045WW | SD5U | 721-OV7006+P3EDI60 | 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 H800 SXM GPUs are included with the supported servers.
The H800 PCIe GPU 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.
Auxiliary power cable needed with the SR650 V3, SR655 V3, SR665 V3, SR665, SR650 V2 |
400mm 16-pin (2x6+4) cable * The option part numbers are for thermal kits and include other components needed to install the GPU. See the SR650 V3 product guide or SR655 V3 product guide or SR665 V3 product guide for details. |
Auxiliary power cable needed with the SR675 V3 |
235mm 16-pin (2x6+4) cable Option: 4X97A84510, ThinkSystem SR675 V3 Supplemental Power Cable for H100 GPU Option Feature: BSD2 SBB: SBB7A65299 Base: SC17B39301 FRU: 03LE554 |
Auxiliary power cable needed with the SR850 V3, SR860 V3 |
200mm 16-pin (2x6+4) cable Option: 4X97A88016, ThinkSystem SR850 V3/SR860 V3 H100 GPU Power Cable Option Kit Feature: BW28 SBB: SBB7A72759 Base: SC17B40604 FRU: 03LF915 |
Auxiliary power cable needed with the SR670 V2 |
215mm 16-pin (2x6+4) cable Option: 4X97A85027, ThinkSystem SR670 V2 H100/L40 GPU Option Power Cable Feature: BRWL SBB: SBB7A66339 Base: SC17B33046 FRU: 03KM845 |
Regulatory approvals
The NVIDIA H800 GPU has the following regulatory approvals:
- RCM
- BSMI
- CE
- FCC
- ICES
- KCC
- cUL, UL
- VCCI
Operating environment
The NVIDIA H800 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®
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.