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Dell ThinkSystem NVIDIA H100 PCIe Gen5 GPUs: технические характеристики и документация
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Dell ThinkSystem NVIDIA H100 PCIe Gen5 GPUs: технические характеристики и документация

Abstract

The ThinkSystem NVIDIA H100 GPU delivers unprecedented performance, scalability, and security for every workload. The GPUs use 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 H100 GPU and their 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 GPUs and consider their use in IT solutions.

Change History

Changes in the February 19, 2026 update:

  • Feature C1HL (withdrawn) is air-cooled, not water cooled - Technical specifications section

Introduction

The ThinkSystem NVIDIA H100 GPU delivers unprecedented performance, scalability, and security for every workload. The GPUs use 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 NVIDIA H100 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 ThinkSystem NVIDIA H100 GPU in the double-width PCIe adapter form factor.

ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU
Figure 1. ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU

Did you know?

The NVIDIA H100 family is available in both double-wide PCIe adapter form factor and in SXM form factor. The latter is used in Lenovo's Neptune direct-water-cooled ThinkSystem SD665-N V3 server for the ultimate in GPU performance and heat management.

The NVIDIA H100 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 ThinkSystem NVIDIA H100 GPU.

Not available in China, Hong Kong and Macau: The H100 GPUs are not available in China, Hong Kong and Macau. For these markets, the H800 is avalable. See the NVIDIA H800 product guide for details, https://lenovopress.lenovo.com/LP1814.

Table 1. Ordering information
Part number Feature code Description
Double-wide PCIe adapter form factor
4X67A89325 BXAK ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU
4X67A82257 BR9U ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU
SXM form factor
CTO only C1HL ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board
CTO only BQQV ThinkSystem NVIDIA H100 SXM5 700W 80G GPU Board
CTO only BUBB ThinkSystem NVIDIA H100 SXM5 700W 94G HBM2e GPU Board
NVLink bridge (for PCIe adapters only, not SXM)
4X67A71309 BG3F ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge (3 required per pair of GPUs)

The PCIe option part numbers includes the following:

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

The following figure shows the NVIDIA H100 SXM5 8-GPU Board with heatsinks installed in the ThinkSystem SR680a V3 and ThinkSystem SR685a V3 servers.

NVIDIA H100 SXM5 8-GPU Board in the ThinkSystem SR680a V3 and SR685a V3 servers
Figure 2. NVIDIA H100 SXM5 8-GPU Board in the ThinkSystem SR680a V3 and SR685a V3 servers

Features

The ThinkSystem NVIDIA H100 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 PCIe versions of the NVIDIA H100 GPUs include a five-year software subscription, with 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 H100 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 H100 GPU securely accelerates all workloads for every data center from enterprise to exascale.

Key features of the NVIDIA H100 GPU:

  • NVIDIA H100 Tensor Core GPU

    Built with 80 billion transistors using a cutting-edge TSMC 4N process custom tailored for NVIDIA’s accelerated compute needs, H100 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 H100 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 H100 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.

The following figure shows the NVIDIA H100 SXM5 4-GPU Board installed in the ThinkSystem SD665-N V3 server

NVIDIA H100 SXM5 4-GPU Board in the ThinkSystem SD665-N V3 server
Figure 3. NVIDIA H100 SXM5 4-GPU Board in the ThinkSystem SD665-N V3 server

Technical specifications

The following table lists the GPU processing specifications and performance of the NVIDIA H100 GPU.

Table 2. Specifications of the NVIDIA H100 GPU
Feature H100 NVL 94GB PCIe adapter H100 80GB PCIe adapter H100 80GB SXM board H100 94GB SXM board
GPU Architecture NVIDIA Hopper NVIDIA Hopper NVIDIA Hopper NVIDIA Hopper
Part number 4X67A89325 4X67A82257 BQQV or C1HL BUBB
GPUs per part number 1 1 BQQV: 4
C1HL: 8		 4
NVIDIA Tensor Cores 456 fourth-generation Tensor Cores 456 fourth-generation Tensor Cores 528 fourth-generation Tensor Cores 528 fourth-generation Tensor Cores
NVIDIA CUDA Cores (shading units) 14,592 FP32 CUDA Cores 14,592 FP32 CUDA Cores 16,896 FP32 CUDA Cores 16,896 FP32 CUDA Cores
Peak FP64 performance 34 TFLOPS 26 TFLOPS 34 TFLOPS 34 TFLOPS
Peak FP64 Tensor Core performance 67 TFLOPS 51 TFLOPS 67 TFLOPS 67 TFLOPS
Peak FP32 performance 67 TFLOPS 51 TFLOPS 67 TFLOPS 67 TFLOPS
Peak Tensor Float 32 (TF32) performance 990 TFLOPS* 756 TFLOPS* 989 TFLOPS* 989 TFLOPS*
Peak FP16 performance 1,980 TFOPS* 1,513 TFLOPS* 1,979 TFLOPS* 1,979 TFLOPS*
Peak Bfloat16 (BF16) performance 1,980 TFOPS* 1,513 TFLOPS* 1,979 TFLOPS* 1,979 TFLOPS*
Peak FP8 performance 3,960 TFOPS* 3,026 TFLOPS*
INT8 Integer Performance 3,960 TOPS* 3,026 TOPS* 3,958 TOPS* 3,958 TOPS*
GPU Memory 94 GB HBM3 80 GB HBM2e 80GB board (feature BQQV): 80 GB HBM3 94GB board (feature BUBB): 90GB HBM2e
Memory Bandwidth 3.9 TB/s 2 TB/sec 80GB board (feature BQQV): 3.35 TB/sec 94GB board (feature BUBB): 2.4 TB/sec
ECC Yes Yes Yes Yes
Interconnect Bandwidth NVLink: 600 GB/sec
PCIe Gen5: 128 GB/sec		 NVLink: 600 GB/sec
PCIe Gen5: 128 GB/sec		 NVLink: 900 GB/sec
PCIe Gen5: 128 GB/sec		 NVLink: 900 GB/sec
PCIe Gen5: 128 GB/sec
System Interface PCIe Gen 5.0, x16 lanes PCIe Gen 5.0, x16 lanes 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 SXM5 SXM5
NVLink support Yes; 3 NVLink Bridge supported per pair of GPUs (all 3 required) Yes; 3 NVLink Bridge supported per pair of GPUs (all 3 required) Yes, integrated Yes, integrated
Multi-Instance GPU (MIG) Up to 7 GPU instances, 12GB each Up to 7 GPU instances, 10GB each Up to 7 GPU instances, 10GB each Up to 7 GPU instances, 10GB each
Max Power Consumption 400 W 350 W 700 W 700 W
Thermal Solution Passive air-cooled Passive air-cooled BQQV: Water cooled
C1HL: Passive air-cooled		 Water cooled
Compute APIs CUDA, DirectCompute, OpenCL, OpenACC CUDA, DirectCompute, OpenCL, OpenACC 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 H100 GPU.

Table 3. Server support - Current servers (Part 1 of 2)
Part Number Description AMD V3 2S Intel V3/V4 1S V3 4S 8S Intel V3/V4
SR635 V3 (7D9H / 7D9G)
SR655 V3 (7D9F / 7D9E)
SR645 V3 (7D9D / 7D9C)
SR665 V3 (7D9B / 7D9A)
SD535 V3 (7DD8 / 7DD1)
ST650 V3 (7D7B / 7D7A)
SR630 V3 (7D72 / 7D73)
SR650 V3 (7D75 / 7D76)
SR630 V4 (7DG8 / 7DG9)
SR650 V4 (7DGC / 7DGD)
SR650a V4 (7DGC / 7DGD)
ST45 V3 (7DH4 / 7DH5)
ST50 V3 (7DF4 / 7DF3)
ST250 V3 (7DCF / 7DCE)
SR250 V3 (7DCM / 7DCL)
SR850 V3 (7D97 / 7D96)
SR860 V3 (7D94 / 7D93)
SR950 V3 (7DC5 / 7DC4)
SR850 V4 (7DJT / 7DJS)
SR860 V4 (7DJQ / 7DJN)
Double-wide PCIe adapter form factor
4X67A89325 ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU N N N N N N N N N 2 4 N N N N N N N N N
4X67A82257 ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU N 3 N 3 N N N 3 N N N N N N N 2 4 N N N
SXM form factor
C1HL ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board N N N N N N N N N N N N N N N N N N N N
BQQV ThinkSystem NVIDIA H100 SXM5 700W 80G HBM3 GPU Board N N N N N N N N N N N N N N N N N N N N
BUBB ThinkSystem NVIDIA H100 SXM5 700W 94G HBM2e GPU Board N N N N N N N N N N N N N N N N N N N N
NVLink bridge (for PCIe adapters only, not SXM; order 3 per pair of GPUs)
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
Table 4. Server support - Current servers (Part 2 of 2)
Part Number Description AI Servers Edge Super computing
SR675 V3 (7D9Q / 7D9R)
SR680a V3 B200 (7DM9)
SR685a V3 (7DHC)
SR780a V3 (7DJ5)
SR680a V4 (7DMK)
SE100 (7DGR)
SE455 V3 (7DBY)
SC750 V4 (7DDJ)
SC777 V4 (7DKA)
SD665 V3 (7D9P)
Double-wide PCIe adapter form factor
4X67A89325 ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU 8 N N N N N N N N N
4X67A82257 ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU 8 N N N N N N N N N
SXM form factor
C1HL ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board N N 11 N N N N N N N
BQQV ThinkSystem NVIDIA H100 SXM5 700W 80G HBM3 GPU Board N N N N N N N N N N
BUBB ThinkSystem NVIDIA H100 SXM5 700W 94G HBM2e GPU Board N N N N N N N N N N
NVLink bridge (for PCIe adapters only, not SXM; order 3 per pair of GPUs)
4X67A71309 ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge Y N N N N N N N N N
  1. Contains 8 separate GPUs connected via high-speed interconnects
Table 5. Server support - Withdrawn servers (Part 1 of 3)
Part Number Description Edge 1S Intel V2 2S Intel V2 AMD V1 Multi node AI
SE350 (7Z46 / 7D1X)
SE350 V2 (7DA9)
SE360 V2 (7DAM)
SE450 (7D8T)
ST50 V2 (7D8K / 7D8J)
ST250 V2 (7D8G / 7D8F)
SR250 V2 (7D7R / 7D7Q)
ST650 V2 (7Z75 / 7Z74)
SR630 V2 (7Z70 / 7Z71)
SR650 V2 (7Z72 / 7Z73)
SR635 (7Y98 / 7Y99)
SR655 (7Y00 / 7Z01)
SR645 (7D2Y / 7D2X)
SR665 (7D2W / 7D2V)
SD530 V3 (7DDA / 7DD3)
SD550 V3 (7DD9 / 7DD2)
SR670 V2 (7Z22 / 7Z23)
SR680a V3 (7DHE)
Double-wide PCIe adapter form factor
4X67A89325 ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU N N N N N N N N N N N N N N N N N N
4X67A82257 ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU N N N N N N N N N 3 N N N 3 N N 8 N
SXM form factor
C1HL ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board N N N N N N N N N N N N N N N N N 11
BQQV ThinkSystem NVIDIA H100 SXM5 700W 80G HBM3 GPU Board N N N N N N N N N N N N N N N N N N
BUBB ThinkSystem NVIDIA H100 SXM5 700W 94G HBM2e GPU Board N N N N N N N N N N N N N N N N N N
NVLink bridge (for PCIe adapters only, not SXM; order 3 per pair of GPUs)
4X67A71309 ThinkSystem NVIDIA Ampere NVLink 2-Slot Bridge N N N N N N N N N N N N N N N N Y N
  1. Contains 8 separate GPUs connected via high-speed interconnects
Table 6. Server support - Withdrawn servers (Part 2 of 3)
Part Number Description SC Dense V2 4S V2 8S 4S V1 1S Intel V1
SD665-N V3 (7DAZ)
SD650 V3 (7D7M)
SD650-I V3 (7D7L)
SD650-N V3 (7D7N)
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)
Double-wide PCIe adapter form factor
4X67A89325 ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU N N N N N N N N N N N N N N N N N N
4X67A82257 ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU N N N N N N N N N N N N N N N N N N
SXM form factor
C1HL ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board N N N N N N N N N N N N N N N N N N
BQQV ThinkSystem NVIDIA H100 SXM5 700W 80G HBM3 GPU Board N N N 11 N N N N N N N N N N N N N N
BUBB ThinkSystem NVIDIA H100 SXM5 700W 94G HBM2e GPU Board 11 N N 11 N N N N N N N N N N N N N N
NVLink bridge (for PCIe adapters only, not SXM; order 3 per pair of GPUs)
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
  1. Contains 4 separate GPUs connected via high-speed interconnects
Table 7. Server support - Withdrawn servers (Part 3 of 3)
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)
Double-wide PCIe adapter form factor
4X67A89325 ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU N N N N N N N N N N N N
4X67A82257 ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU N N N N N N N N N N N N
SXM form factor
C1HL ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board N N N N N N N N N N N N
BQQV ThinkSystem NVIDIA H100 SXM5 700W 80G HBM3 GPU Board N N N N N N N N N N N N
BUBB ThinkSystem NVIDIA H100 SXM5 700W 94G HBM2e GPU Board N N N N N N N N N N N N
NVLink bridge (for PCIe adapters only, not SXM; order 3 per pair of GPUs)
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.

Table 8. Operating system support for ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU, 4X67A82257
Operating systems
SR665
SR665 V3
SR650 V2
SR670 V2
SR650 V3 (4th Gen Xeon)
SR655 V3
SR850 V3
SR860 V3
SR675 V3
SR650 V3 (5th Gen Xeon)
Microsoft Windows 10 N Y N N N Y N N N Y
Microsoft Windows 11 N Y N N N Y N N N Y
Microsoft Windows Server 2019 Y 1 Y Y Y Y Y Y 3 Y 3 Y Y
Microsoft Windows Server 2022 Y 1 Y Y Y Y Y 2 Y Y Y Y
Microsoft Windows Server 2025 Y Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 7.9 N N Y Y N N N N N N
Red Hat Enterprise Linux 8.3 Y 1 N Y Y N N N N N N
Red Hat Enterprise Linux 8.4 Y 1 N Y Y N N N N N N
Red Hat Enterprise Linux 8.5 Y 1 N Y Y N N N N N N
Red Hat Enterprise Linux 8.6 Y 1 Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 8.7 Y 1 Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 8.8 Y 1 Y Y Y Y Y Y Y Y Y
Red Hat Enterprise Linux 8.9 Y Y Y Y Y Y Y Y N Y
Red Hat Enterprise Linux 8.10 Y Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 9.0 Y 1 Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 9.1 Y 1 Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 9.2 Y 1 Y Y Y Y Y Y Y Y Y
Red Hat Enterprise Linux 9.3 Y Y Y Y Y Y Y Y N Y
Red Hat Enterprise Linux 9.4 Y Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 9.5 Y Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 9.6 Y Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 9.7 Y Y Y Y Y Y Y Y N N
Red Hat Enterprise Linux 10.0 Y Y Y Y Y Y Y Y Y N
Red Hat Enterprise Linux 10.1 Y Y Y Y Y Y Y Y N N
SUSE Linux Enterprise Server 15 SP3 Y 1 N Y Y N N N N N N
SUSE Linux Enterprise Server 15 SP4 Y 1 Y Y Y Y Y 2 Y Y Y N
SUSE Linux Enterprise Server 15 SP5 Y 1 Y Y Y Y Y Y Y N Y
SUSE Linux Enterprise Server 15 SP6 Y Y Y Y Y Y Y Y Y N
SUSE Linux Enterprise Server 15 SP7 Y Y Y Y Y Y Y Y Y N
SUSE Linux Enterprise Server 16 Y Y Y N Y Y Y Y N N
Ubuntu 18.04.5 LTS or later with HWE kernel N N Y Y N N N N N N
Ubuntu 20.04.5 LTS or later with HWE kernel N Y N N N Y Y Y Y N
Ubuntu 20.04 LTS or later with HWE kernel N N Y N N N N N N N
Ubuntu 22.04.5 LTS or later with HWE kernel N Y N N N N N N N N
Ubuntu 22.04 LTS or later with HWE kernel Y 1 Y Y Y Y Y 2 Y Y Y Y 4
Ubuntu 24.04 LTS or later with HWE kernel Y Y Y Y Y Y Y Y Y N
VMware vSphere Hypervisor (ESXi) 7.0 U3 Y 1 Y Y Y Y Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 Y 1 Y Y Y Y Y 2 N N N N
VMware vSphere Hypervisor (ESXi) 8.0 U1 Y 1 Y Y Y Y Y Y Y Y N
VMware vSphere Hypervisor (ESXi) 8.0 U2 Y 1 Y Y Y Y Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 U3 Y Y Y N Y Y Y Y N N
VMware vSphere Hypervisor (ESXi) 9.0 Y Y Y N Y Y Y Y N N

1 HW is not supported with EPYC 7002 processors.

2 For limitation, please refer Support Tip TT1064

3 For limitation, please refer Support Tip TT1591

4 Ubuntu 22.04.3 LTS/Ubuntu 22.04.4 LTS

NVIDIA GPU software

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

  • NVIDIA Enterprise Software
  • NVIDIA HPC Compiler Software

The PCIe adapter H100 GPUs include a five-year software subscription, including enterprise support, to the NVIDIA AI Enterprise software suite:

  • ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU, 4X67A89325
  • ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU, 4X67A82257

This license is equivalent to part number 7S02001HWW listed in the NVIDIA AI Enterprise Software section below.

To activate the NVIDIA AI Enterprise license, see the following page:
https://www.nvidia.com/en-us/data-center/activate-license/

SXM GPUs: The NVIDIA AI Enterprise software suite is not included with the SXM H100 GPUs and will need to ordered separately if needed.

NVIDIA Enterprise Software

Lenovo offers the NVIDIA Enterprise cloud-native enterprise software, comprised of NVIDIA AI Enterprise (NVAIE) and NVIDIA Omniverse Enterprise. NVIDIA 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 Enterprise is licensed on a per-GPU basis. NVIDIA 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 Enterprise software indefinitely, with no expiration. NVIDIA 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 Enterprise software products with subscription includes support services for the duration of the software’s subscription license

The following table lists NVIDIA Enterprise license part numbers and feature codes.

For more information, see the NVIDIA Enterprise Sizing Guide.

Table 9. NVIDIA Enterprise Software
Part number Feature code
7S02CTO1WW		 Description NVIDIA part number
AI Enterprise Perpetual License
7S02001BWW S6YY NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Perpetual License & Support per GPU, 5 Years 731-AI7004+P3CMI60
7S02001EWW S6Z1 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Perpetual License & Support per GPU, EDU, 5 Years 731-AI7004+P3EDI60
AI Enterprise Subscription License
7S02001FWW S6Z2 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 1 Year 731-AI7003+P3CMI12
7S02005XWW SENY NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 2 Years 731-AI7003+P3CMI24
7S02001GWW S6Z3 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 3 Year 731-AI7003+P3CMI36
7S02005YWW SENZ NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 4 Years 731-AI7003+P3CMI48
7S02001HWW S6Z4 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 5 Year 731-AI7003+P3CMI60
7S02001JWW S6Z5 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 1 Year 731-AI7003+P3EDI12
7S02005ZWW SEP0 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 2 Years 731-AI7003+P3EDI24
7S02001KWW S6Z6 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 3 Year 731-AI7003+P3EDI36
7S020060WW SEP1 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 4 Years 731-AI7003+P3EDI48
7S02001LWW S6Z7 NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 5 Year 731-AI7003+P3EDI60
Business Critical Support Services for NVIDIA Enterprise
7S02001MWW S6Z8 Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 1 Year 731-AI7007+P3CMI12
7S02001NWW S6Z9 Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 3 Year 731-AI7007+P3CMI36
7S020061WW SEP2 Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 4 Years 731-AI7007+P3CMI48
7S02001PWW S6ZA Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 5 Year 731-AI7007+P3CMI60
7S02001QWW S6ZB Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 1 Year 731-AI7007+P3EDI12
7S02001RWW S6ZC Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 3 Year 731-AI7007+P3EDI36
7S020062WW SEP3 Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 4 Years 731-AI7007+P3EDI48
7S02001SWW S6ZD Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 5 Year 731-AI7007+P3EDI60

NVIDIA HPC Compiler Software

Table 10. NVIDIA HPC Compiler
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 H100 SXM GPUs are included with the supported servers.

The H100 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.

Table 11. Auxiliary power cables for H100
Auxiliary power cable needed with the SR650 V3, SR655 V3, SR665 V3, SR665, SR650 V2

SBB7A66338400mm 16-pin (2x6+4) cable
Option:
SR665: 4X97A85028, ThinkSystem 400mm 2x6+4 GPU Power Cable
SR650 V2: 4X97A85028, ThinkSystem 400mm 2x6+4 GPU Power Cable
SR650 V3: 4X67A82883, ThinkSystem SR650 V3 GPU Full Length Thermal Option Kit*
SR655 V3: 4X67A86438, ThinkSystem SR655 V3 GPU Enablement Kit*
SR665 V3: 4X67A85856, ThinkSystem SR665 V3 GPU Full Length Thermal Option Kit*
Feature: BRWK
SBB: SBB7A66338
Base: SC17B33047
FRU: 03KM846

* 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
SBB7A65299235mm 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
SBB7A72759200mm 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
SBB7A66339215mm 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 H100 GPU has the following regulatory approvals:

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

Operating environment

The NVIDIA H100 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.

Seller training courses

The following sales training courses are offered for employees and partners (login required). Courses are listed in date order.

  1. Think AI Weekly: Accelerating your Server Sales with the RTX Pro 6000
    2026-03-10 | 29 minutes | Employees Only
    Details
    Think AI Weekly: Accelerating your Server Sales with the RTX Pro 6000

    Join this session as Simone Larsson, Head of Enterprise AI, EMEA, Lenovo and Jason Knudsen, GAM, Global Sales and Channel for Lenovo with NVIDIA as they talk about the RTX Pro 6000.

    Topics include:

    Market trends
    Why the RTX Pro 6000 matters
    Lenovo GTM details

    Published: 2026-03-10
    Length: 29 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DTAIW165
  2. Edge VTT - NVIDIA Robotics Platform
    2026-01-08 | 67 minutes | Employees Only
    Details
    Edge VTT - NVIDIA Robotics Platform

    In this session we feature speakers from both NVIDIA and Lenovo. Attendees will learn about NVIDIA’s platform stack for Robotics and what Lenovo is doing in the field of robotics.

    During this session we will dive into NVIDIA’s three-computer stack for Physical AI. Our speaker will explore libraries and workflows to develop, train, simulate, deploy, operate, and optimize AI robot systems and software. This session will cover the basics of the technical platform, how to get started and case studies from some NVIDIA's ecosystem.

    Objectives:
    Discuss acceleration libraries
    Describe simulation workflows
    List foundational models for robotics

    Tags: Artificial Intelligence (AI), Sales, Software Platforms, Technical Sales

    Published: 2026-01-08
    Length: 67 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DVEDG223
  3. Lenovo VTT Cloud Architecture: Empowering AI Innovation with NVIDIA RTX Pro 6000 and Lenovo Hybrid AI Services
    2025-09-18 | 68 minutes | Employees Only
    Details
    Lenovo VTT Cloud Architecture: Empowering AI Innovation with NVIDIA RTX Pro 6000 and Lenovo Hybrid AI Services

    Join Dinesh Tripathi, Lenovo Technical Team Lead for GenAI and Jose Carlos Huescas, Lenovo HPC & AI Product Manager for an in-depth, interactive technical webinar. This session will explore how to effectively position the NVIDIA RTX PRO 6000 Blackwell Server Edition in AI and visualization workflows, with a focus on real-world applications and customer value.
    We’ll cover:
    - NVIDIA RTX PRO 6000 Blackwell Overview: Key specs, performance benchmarks, and use cases in AI, rendering, and simulation.
    - Positioning Strategy: How to align NVIDIA RTX PRO 6000 with customer needs across industries like healthcare, manufacturing, and media.
    - Lenovo Hybrid AI 285 Services: Dive into Lenovo’s Hybrid AI 285 architecture and learn how it supports scalable AI deployments from edge to cloud.
    Whether you're enabling AI solutions or guiding customers through infrastructure decisions, this session will equip you with the insights and tools to drive impactful conversations.

    Tags: Industry solutions, SMB, Services, Technical Sales, Technology solutions

    Published: 2025-09-18
    Length: 68 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DVCLD227
  4. Think AI Weekly: ISG & SSG Better Together: Uniting AI Solutions & Services for Smarter Outcomes
    2025-08-01 | 55 minutes | Employees Only
    Details
    Think AI Weekly: ISG & SSG Better Together: Uniting AI Solutions & Services for Smarter Outcomes

    View this session to hear from our speakers Allen Holmes, AI Technologist, ISG and Balaji Subramaniam, AI Regional Leader-Americas, SSG.

    Topics include:

    • An overview of ISG & SSG AI CoE Offerings with Customer Case Studies
    • The Enterprise AI Deal Engagement Flow with ISG and SSG
    • How sellers can leverage this partnership to differentiate with Enterprise clients.
    • NEW COURSE: From Inception to Execution: Evolution of an AI Deal

    Tags: Artificial Intelligence (AI), Sales, Services, Technology Solutions, TruScale Infrastructure as a Service

    Published: 2025-08-01
    Length: 55 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DTAIW145
  5. Think AI Weekly: Third-Party Due Diligence Requirements for GPU Opportunities
    2025-07-24 | 46 minutes | Employees Only
    Details
    Think AI Weekly: Third-Party Due Diligence Requirements for GPU Opportunities

    View this session to hear from Tanya Roychowdhury, Legal Counsel Director and Andrea Fazio, Third-party Due Diligence Project Manager as the explain:

    - What are the requirements?
    - Why are they important?
    - What this means to sales

    Tags: Artificial Intelligence (AI), DataCenter Products, NVIDIA, Sales, Technical Sales

    Published: 2025-07-24
    Length: 46 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DTAIW143
  6. ThinkSystem Supercomputing Servers Powered by NVIDIA
    2025-06-27 | 30 minutes | Employees and Partners
    Details
    ThinkSystem Supercomputing Servers Powered by NVIDIA

    This course offers you information about the Lenovo SC777 V4 Neptune server, the first Lenovo server to use an Arm processor from NVIDIA. By the end of this course, you’ll be able to list three features of the ThinkSystem SC777 V4 Neptune server, list three features of the ThinkSystem N1380 Neptune enclosure, describe two customer benefits of the ThinkSystem SC777 V4 Neptune server, and list four workload environments to which the SC777 V4 server is well suited.

    Tags: DataCenter Products, NVIDIA, ThinkSystem

    Published: 2025-06-27
    Length: 30 minutes

    Start the training:
    Employee link: Grow@Lenovo
    Partner link: Lenovo 360 Learning Center

    Course code: SXXW2545
  7. VTT AI: NVIDIA and Lenovo: Data Center Platform Overview
    2025-06-10 | 77 minutes | Employees Only
    Details
    VTT AI: NVIDIA and Lenovo: Data Center Platform Overview

    Please join this session to hear Steve Stein, Senior Product Marketing Manager, NVIDIA and Naman Malhotra, Senior Product Manager, Lenovo as they present these topics:

    •NVIDIA Accelerated Computing Portfolio
    •Use Cases and Positioning
    •Lenovo Platforms and Solutions

    Tags: Artificial Intelligence (AI), Nvidia, Server

    Published: 2025-06-10
    Length: 77 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DVAI216
  8. VTT AI: Introducing the Lenovo Hybrid AI 285 Platform April 2025
    2025-04-30 | 60 minutes | Employees Only
    Details
    VTT AI: Introducing the Lenovo Hybrid AI 285 Platform April 2025

    The Lenovo Hybrid AI 285 Platform enables enterprises of all sizes to quickly deploy AI infrastructures supporting use cases as either new greenfield environments or as an extension to current infrastructures. The 285 Platform enables the use of the NVIDIA AI Enterprise software stack. The AI Hybrid 285 platform is the perfect foundation supporting Lenovo Validated Designs.
    • Technical overview of the Hybrid AI 285 platform
    • AI Hybrid platforms as infrastructure frameworks for LVDs addressing data center-based AI solutions.
    • Accelerate AI adoption and reduce deployment risks

    Tags: Artificial Intelligence (AI), Nvidia, Technical Sales, Lenovo Hybrid AI 285

    Published: 2025-04-30
    Length: 60 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DVAI215
  9. Lenovo Cloud Architecture VTT: Supercharge Your Enterprise AI with NVIDIA AI Enterprise on Lenovo Hybrid AI Platform
    2025-04-17 | 75 minutes | Employees and Partners
    Details
    Lenovo Cloud Architecture VTT: Supercharge Your Enterprise AI with NVIDIA AI Enterprise on Lenovo Hybrid AI Platform

    Join us for an in-depth webinar with Justin King, Principal Product Marketing Manager for Enterprise AI exploring the power of NVIDIA AI Enterprise, delivering Generative and Agentic AI outcomes deployed with Lenovo Hybrid AI platform environments.
    In today’s data-driven landscape, AI is evolving at high speed, with new techniques delivering more accurate responses. Enterprises are seeking not just an understanding but also how they can achieve AI-driven business outcomes.
    With this, the demand for secure, scalable, and high-performing AI operations-and the skills to deliver them-is top of mind for many. Learn how NVIDIA AI Enterprise, a comprehensive software suite optimized for NVIDIA GPUs, provides the tools and frameworks, including NVIDIA NIM, NeMo, and Blueprints, to accelerate AI development and deployment while reducing risk-all within the control and security of your Lenovo customer’s hybrid AI environment.

    Tags: Artificial Intelligence (AI), Cloud, Data Management, Nvidia, Technical Sales

    Published: 2025-04-17
    Length: 75 minutes

    Start the training:
    Employee link: Grow@Lenovo
    Partner link: Lenovo 360 Learning Center

    Course code: DVCLD221
  10. AI VTT: GTC Update and The Lenovo LLM Sizing Guide
    2025-03-12 | 86 minutes | Employees Only
    Details
    AI VTT: GTC Update and The Lenovo LLM Sizing Guide

    Please view this session that is two parts. Part one is Robert Daigle, Director, Global AI Solutions and Hande Sahin-Bahceci, AI Solutions Marketing Leader explaining the upcoming announcements for NVIDIA GTC. Part Two is Sachin Wani, AI Data Scientist explaining the Lenovo LLM Sizing Guide with these topics:

    • Minimum GPU requirements for fine-tuning/training and inference
    • Gathering requirements for the customer's use case
    • LLMs from a technical perspective

    Tags: Artificial Intelligence (AI), Technical Sales

    Published: 2025-03-12
    Length: 86 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DVAI214
  11. Q2 Solutions Launch TruScale GPU Next Generation Management in the AI Era Quick Hit
    2024-09-10 | 6 minutes | Employees and Partners
    Details
    Q2 Solutions Launch TruScale GPU Next Generation Management in the AI Era Quick Hit

    This Quick Hit focuses on Lenovo announcing additional ways to help you build, scale, and evolve your customer’s private AI faster for improved ROI with TruScale GPU as a Service, AI-driven systems management, and infrastructure transformation services.

    Tags: Artificial Intelligence (AI), Services, TruScale

    Published: 2024-09-10
    Length: 6 minutes

    Start the training:
    Employee link: Grow@Lenovo
    Partner link: Lenovo 360 Learning Center

    Course code: SXXW2543a
  12. VTT AI: The NetApp AIPod with Lenovo for NVIDIA OVX
    2024-08-13 | 38 minutes | Employees and Partners
    Details
    VTT AI: The NetApp AIPod with Lenovo for NVIDIA OVX

    AI, for some organizations, is out of reach, due to cost, integration complexity, and time to deployment. Previously, organizations relied on frequently retraining their LLMs with the latest data, a costly and time-consuming process. The NetApp AIPod with Lenovo for NVIDIA OVX combines NVIDIA-Certified OVX Lenovo ThinkSystem SR675 V3 servers with validated NetApp storage to create a converged infrastructure specifically designed for AI workloads. Using this solution, customers will be able to conduct AI RAG and inferencing operations for use cases like chatbots, knowledge management, and object recognition.

    Topics covered in this VTT session include:
    •Where Lenovo fits in the solution
    •NetApp AIPod with Lenovo for NVIDIA OVX Solution Overview
    •Challenges/pain points that this solution solves for enterprises deploying AI
    •Solution value/benefits of the combined NetApp, Lenovo, and NVIDIA OVX-Certified Solution

    Tags: Artificial Intelligence (AI), Nvidia, Sales, Technical Sales, ThinkSystem

    Published: 2024-08-13
    Length: 38 minutes

    Start the training:
    Employee link: Grow@Lenovo
    Partner link: Lenovo 360 Learning Center

    Course code: DVAI206
  13. Guidance for Selling NVIDIA Products at Lenovo for ISG
    2024-07-01 | 25 minutes | Employees and Partners
    Details
    Guidance for Selling NVIDIA Products at Lenovo for ISG

    This course gives key talking points about the Lenovo and NVIDIA partnership in the Data Center. Details are included on where to find the products that are included in the partnership and what to do if NVIDIA products are needed that are not included in the partnership. Contact information is included if help is needed in choosing which product is best for your customer. At the end of this session sellers should be able to explain the Lenovo and NVIDIA partnership, describe the products Lenovo can sell through the partnership with NVIDIA, help a customer purchase other NVIDIA product, and get assistance with choosing NVIDIA products to fit customer needs.

    Tags: Artificial Intelligence (AI), Nvidia

    Published: 2024-07-01
    Length: 25 minutes

    Start the training:
    Employee link: Grow@Lenovo
    Partner link: Lenovo 360 Learning Center

    Course code: DNVIS102
  14. Think AI Weekly: Lenovo AI PCs & AI Workstations
    2024-05-23 | 60 minutes | Employees Only
    Details
    Think AI Weekly: Lenovo AI PCs & AI Workstations

    Join Mike Leach, Sr. Manager, Workstations Solutions and Pooja Sathe, Director Commercial AI PCs as they discuss why Lenovo AI Developer Workstations and AI PCs are the most powerful, where they fit into the device to cloud ecosystem, and this week’s Microsoft announcement, Copilot+PC

    Tags: Artificial Intelligence (AI), ThinkStation

    Published: 2024-05-23
    Length: 60 minutes

    Start the training:
    Employee link: Grow@Lenovo

    Course code: DTAIW105

Related product families

Product families related to this document are the following:

  • GPU adapters

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