ThinkSystem NVIDIA H100 PCIe Gen5 GPUs

The ThinkSystem NVIDIA H100 PCIe Gen5 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 PCIe Gen5 GPU in the double-width PCIe adapter form factor.

Figure 1. ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU

The NVIDIA H100 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.

The following table shows the part numbers for the ThinkSystem NVIDIA H100 PCIe Gen5 GPU.

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 4-GPU Board installed in the ThinkSystem SD665-N V3 server

Figure 2. NVIDIA H100 SXM5 4-GPU Board in the ThinkSystem SD665-N V3 server

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

The following tables list the ThinkSystem servers that are compatible.

The following table lists the supported operating systems.

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

• NVIDIA vGPU Software (vApps, vPC, RTX vWS, and vCS)
• NVIDIA Omniverse Software (OVE)
• NVIDIA AI Enterprise Software
• 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/

• Virtual PC (vPC)

  This product is ideal for users who want a virtual desktop but need great user experience leveraging PC Windows® applications, browsers and high-definition video. NVIDIA Virtual PC delivers a native experience to users in a virtual environment, allowing them to run all their PC applications at full performance.

• NVIDIA RTX Virtual Workstation (RTX vWS)

  NVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation — enabling workstation performance from any device.

• Virtual Compute Server (vCS)

  NVIDIA Virtual Compute Server (vCS) enables data centers running on Red Hat Enterprise Linux, Red Hat Virtualization, and other supported KVM-based hypervisors to accelerate server virtualization with the latest NVIDIA data center GPUs, so that the most compute-intensive workloads, such as artificial intelligence, deep learning, and data science, can be run in a virtual machine (VM) powered by NVIDIA vGPU technology.

The following license types are offered:

• Perpetual license

  A non-expiring, permanent software license that can be used on a perpetual basis without the need to renew. Each Lenovo part number includes a fixed number of years of Support, Upgrade and Maintenance (SUMS).

• Annual subscription

  A software license that is active for a fixed period as defined by the terms of the subscription license, typically yearly. The subscription includes Support, Upgrade and Maintenance (SUMS) for the duration of the license term.

• Concurrent User (CCU)

  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.

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 features of NVIDIA AI Enterprise Software are listed in the following table.

Note: Maximum 10 concurrent VMs per product license

The following table lists the ordering part numbers and feature codes.

Find more information in the NVIDIA AI Enterprise Sizing Guide.

NVIDIA HPC Compiler Software

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 13. Auxiliary power cables for H100

Auxiliary power cable needed with the SR650 V3, SR655 V3, SR665 V3, SR665, SR650 V2

400mm 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

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

The NVIDIA H100 GPU has the following regulatory approvals:

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

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.

One year limited warranty. When installed in a Lenovo server, the GPU assumes the server’s base warranty and any warranty upgrades.

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

1. Generative AI Overview Foundational
   2024-02-16 | 17 minutes | Employees Only
   Details
   Generative AI Overview Foundational
   
   

   It seems the whole world is excited about Generative AI, and while some of it is just hype, it has become clear that Generative AI has the potential to revolutionize many aspects of our personal and professional lives. In this brief NVIDIA course, we'll explore one aspect of the Generative AI excitement, the value you get from Generative AI technology. We will discuss what Generative AI is, how it works, and how enterprises are planning to use this technology.
   
   By the end of this course, you will be able to discuss the Generative AI market trends and the challenges in this space with your customers. And you will be able to explain what Generative AI is and how the technology works to help enterprises unlock new opportunities for business.

   Published: 2024-02-16
   Length: 17 minutes
   Employee link: Grow@Lenovo
   Course code: DAINVD106
2. Industry Use Cases in Modern Computing Foundational
   2024-02-16 | 9 minutes | Employees Only
   Details
   Industry Use Cases in Modern Computing Foundational
   
   

   As GPU powered computing continues to improve exponentially, applications that were once science fiction are becoming best practice. This is an introductory NVIDIA course that explores some exciting industry focused use cases that are providing companies with faster time to insight, productivity at scale and a great ROI.
   
   By the end of this course, you will be able to explain how companies in a few key industry verticals are benefiting from a variety of accelerated compute use cases.

   Published: 2024-02-16
   Length: 9 minutes
   Employee link: Grow@Lenovo
   Course code: DAINVD105
3. Introduction to Artificial Intelligence Foundational
   2024-02-16 | 10 minutes | Employees Only
   Details
   Introduction to Artificial Intelligence Foundational
   
   

   This NVIDIA course aims to answer questions such as, what is AI and why are enterprises so interested in it? and how does AI happen, why are GPUs so important for it, and what does a good AI solution look like?
   
   By the end of this training, you should be able to describe AI and relate it to some common enterprise use cases. You'll know the difference between training and inference and be able to visualize a typical AI workflow. More importantly, you'll understand the difficulties of traditional CPU-based AI and appreciate why businesses would benefit greatly by adopting GPU-accelerated workflows. Finally, you'll also understand what features contribute to an awesome AI solution and why customers respect and enjoy NVIDIA's solutions.

   Published: 2024-02-16
   Length: 10 minutes
   Employee link: Grow@Lenovo
   Course code: DAINVD104
4. GPU Fundamentals Foundational
   2024-02-16 | 10 minutes | Employees Only
   Details
   GPU Fundamentals Foundational
   
   

   This NVIDIA course introduces you to two devices that a computer typically uses to process information, the CPU and the GPU. We'll discuss their differences and look at how the GPU overcomes the limitations of the CPU. Once you understand the power and advantages of GPU processing, we will talk about the value GPUs bring to modern-day enterprise computing.
   
   By the end of this course, you should know the difference between serial and parallel processing. You will be able to explain what a GPU is in very simple terms and explain the value that GPUs bring to enterprises. Additionally, you'll become familiar with the typical GPU-accelerated enterprise workloads and list one or two use cases under them. By the time you exit this course, you should be able to target various GPU-accelerated computing opportunities with the right NVIDIA GPU.

   Published: 2024-02-16
   Length: 10 minutes
   Employee link: Grow@Lenovo
   Course code: DAINVD103
5. Partner Technical Webinar – NVidia
   2023-12-11 | 60 minutes | Employees and Partners
   Details
   Partner Technical Webinar – NVidia
   
   

   In this 60-minute replay, Brad Davidson of Nvidia will help us recognize AI Trends, and Discuss Industry Verticals Marketing.

   Published: 2023-12-11
   Length: 60 minutes
   Employee link: Grow@Lenovo
   Partner link: Lenovo Partner Learning
   Course code: 120823

For more information, refer to these documents:

• ThinkSystem and ThinkAgile GPU Summary:
  https://lenovopress.lenovo.com/lp0768-thinksystem-thinkagile-gpu-summary
• ServerProven compatibility:
  https://serverproven.lenovo.com/
• NVIDIA H100 product page:
  https://www.nvidia.com/en-us/data-center/h100/
• NVIDIA Hopper Architecture page
  https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/