ThinkSystem NVIDIA HGX H200 141GB 700W GPUs

The NVIDIA H200 Tensor Core GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. H200 is the newest addition to NVIDIA’s leading AI and high-performance data center GPU portfolio, bringing massive compute to data centers.

The NVIDIA H200 141GB 700W GPU is offered in the ThinkSystem SR680a V3 server, with eight SXM5 form factor GPU modules and NVIDIA® NVLink® Fabric to create an 8-FC (fully connected) NVLink topology per baseboard. The NVIDIA H200 GPU is also offered as a 4-GPU board in the ThinkSystem SD665-N V3 with four SXM5 GPU modules fully connected using NVLink connections.

Leveraging the power of H200 multi-precision Tensor Cores, an eight-way HGX H200 provides over 32 petaFLOPS of FP8 deep learning compute and over 1.1TB of aggregate HBM memory for the highest performance in generative AI and HPC applications.

Figure 1. ThinkSystem NVIDIA HGX H200 141GB 700W 8-GPU Board in the ThinkSystem SR680a V3 server

To maximize compute performance, H200 is the world’s first GPU with HBM3e memory with 4.8TB/s of memory bandwidth, a 1.4X increase over H100. H200 also expands GPU memory capacity nearly doubled to 141GB. The combination of faster and larger HBM memory accelerates performance of computationally intensive generative AI and HPC applications, while meeting the evolving demands of growing model sizes.

The following table shows the part numbers for the 8-GPU and 4-GPU boards. The feature codes contain all H200 GPUs in the SXM form factor plus the NVLink high-speed interconnections between the GPUs.

The NVIDIA H200 GPU is Controlled which means the GPU is not offered in certain markets, as determined by the US Government.

The NVIDIA H200 Tensor Core GPU supercharges generative AI and HPC with game-changing performance and memory capabilities. As the first GPU with HBM3e, H200’s faster, larger memory fuels the acceleration of generative AI and LLMs while advancing scientific computing for HPC workloads.

NVIDIA HGX™ H200, the world’s leading AI computing platform, features the H200 GPU for the fastest performance. An eight-way HGX H200 provides over 32 petaflops of FP8 deep learning compute and 1.1TB of aggregate high-bandwidth memory for the highest performance in generative AI and HPC applications.

Key AI and HPC workload features:

• Unlock Insights With High-Performance LLM Inference

  In the ever-evolving landscape of AI, businesses rely on large language models to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base. H200 doubles inference performance compared to H100 when handling LLMs such as Llama2 70B.

• Optimize Generative AI Fine-Tuning Performance

  Large language models can be customized to specific business case needs with fine-tuning, low-rank adaptation (LoRA), or retrieval-augmented generation (RAG) methods. These methods bridge the gap between general pretrained results and task-specific solutions, making them essential tools for industry and research applications.

  NVIDIA H200’s Transformer Engine and fourth-generation Tensor Cores speed up fine-tuning by 5.5X over A100 GPUs. This performance increase allows enterprises and AI practitioners to quickly optimize and deploy generative AI to benefit their business. Compared to fully training foundation models from scratch, fine-tuning offers better energy efficiency and the fastest access to customized solutions needed to grow business.

• Industry-Leading Generative AI Training

  The era of generative AI has arrived, and it requires billion-parameter models to take on the paradigm shift in business operations and customer experiences.

  NVIDIA H200 GPUs feature the Transformer Engine with FP8 precision, which provides up to 5X faster training over A100 GPUs for large language models such as GPT-3 175B. The combination of fourth-generation NVLink, which offers 900GB/s of GPU-to-GPU interconnect, PCIe Gen5, and NVIDIA Magnum IO™ software, delivers efficient scalability from small enterprise to massive unified computing clusters of GPUs. These infrastructure advances, working in tandem with the NVIDIA AI Enterprise software suite, make the NVIDIA H200 the most powerful end-to-end generative AI and HPC data center platform.

• Supercharged High-Performance Computing

  Memory bandwidth is crucial for high-performance computing applications, as it enables faster data transfer and reduces complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading to up to a 110X faster time to results.

  The NVIDIA data center platform consistently delivers performance gains beyond Moore’s Law. And H200’s breakthrough AI capabilities further amplify the power of HPC+AI to accelerate time to discovery for scientists and researchers working on solving the world’s most important challenges.

• Reduced Energy and TCO

  In a world where energy conservation and sustainability are top of mind, the concerns of business leaders and enterprises have evolved. Enter accelerated computing, a leader in energy efficiency and TCO, particularly for workloads that thrive on acceleration, such as HPC and generative AI.

  With the introduction of H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as H100. AI factories and at-scale supercomputing systems that are not only faster but also more eco-friendly deliver an economic edge that propels the AI and scientific community forward. For at-scale deployments, H200 systems provide 5X more energy savings and 4X better cost of ownership savings over the NVIDIA Ampere architecture generation.

The following table lists the NVIDIA H200 GPU specifications.

The following tables list the ThinkSystem servers that are compatible.

Operating system support is based on that of the supported servers. See the SR680a V3 server product guide for details: https://lenovopress.lenovo.com/lp1909-thinksystem-sr680a-v3-server

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

• NVIDIA vGPU Software (vApps, vPC, RTX vWS)
• NVIDIA Omniverse Software (OVE)
• NVIDIA AI Enterprise Software
• NVIDIA HPC Compiler Software

• 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.

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.

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 NVIDIA H200 GPU has the following regulatory approvals:

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

The NVIDIA H200 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. Partner Technical Webinar - NVIDIA Portfolio
   2024-11-06 | 60 minutes | Employees and Partners
   Details
   Partner Technical Webinar - NVIDIA Portfolio
   
   

   in this 60-minute replay, Jason Knudsen of NVIDIA presented the NVIDIA Computing Platform. Jason talked about the full portfolio from GPUs to Networking to AI Enterprise and NIMs.

   Published: 2024-11-06
   Length: 60 minutes
   

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

   Course code: 110124
2. NVIDIA Data Center GPU Portfolio
   2024-09-26 | 11 minutes | Employees and Partners
   Details
   NVIDIA Data Center GPU Portfolio
   
   

   This course equips Lenovo and partner technical sellers with the knowledge to effectively communicate the positioning of NVIDIA's data center GPU portfolio, enhancing your ability to showcase its key advantages to clients.
   
   Upon completion of this training, you will be familiar with the following:
   • Data Center GPUs for AI and HPC
   • Data Center GPUs for Graphics
   • GPU comparisons

   Published: 2024-09-26
   Length: 11 minutes
   

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

   Course code: DAINVD201
3. 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.

   Published: 2024-09-10
   Length: 6 minutes
   

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

   Course code: SXXW2543a
4. VTT AI: The NetApp AIPod with Lenovo for NVIDIA OVX
   2024-08-13 | 38 minutes | Employees Only
   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

   Published: 2024-08-13
   Length: 38 minutes
   

   Start the training:
   Employee link: Grow@Lenovo
   

   Course code: DVAI206
5. Introduction to Artificial Intelligence
   2024-08-02 | 11 minutes | Employees and Partners
   Details
   Introduction to Artificial Intelligence
   
   

   IMPORTANT: If you receive the following error message:
   "There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
   
   
   This NVIDIA course aims to answer questions such as:
   
   • What is AI?
   • Why are enterprises so interested in it?
   • How does AI happen?
   • Why are GPUs so important for it?
   • What does a good AI solution look like?
   
   
   Course Objectives:
   
   By the end of this training, you should be able to:
   1. Describe AI on a high level and list a few common enterprise use cases
   2. List how enterprises benefit from AI
   3. Distinguish between Training and Inference
   4. Say how GPUs address known bottlenecks in a typical AI pipeline
   5. Tell a customer why NVIDIA’s AI solutions are well-respected in the market

   Published: 2024-08-02
   Length: 11 minutes
   

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

   Course code: DAINVD104r2
6. GPU Fundamentals
   2024-08-02 | 10 minutes | Employees and Partners
   Details
   GPU Fundamentals
   
   

   IMPORTANT: If you receive the following error message:
   "There is an issue with this slide content. Please contact your administrator”,
   please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding.
   
   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. We will also talk about the value GPUs bring to modern-day enterprise computing.
   
   Course Objectives:
   
   By the end of this training, you should be able to:
   1. Distinguish between serial and parallel processing
   2. Explain what a GPU is and what it does at a high level
   3. Articulate the value of GPU computing for enterprises
   4. List three typical GPU-accelerated workloads and a few uses cases
   5. Recommend the appropriate NVIDIA GPU for its corresponding enterprise computing workloads

   Published: 2024-08-02
   Length: 10 minutes
   

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

   Course code: DAINVD103r2
7. Key NVIDIA Use Cases for Industry Verticals
   2024-08-02 | 32 minutes | Employees and Partners
   Details
   Key NVIDIA Use Cases for Industry Verticals
   
   

   IMPORTANT: If you receive the following error message:
   "There is an issue with this slide content. Please contact your administrator”,
   please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding.
   
   In this NVIDIA course, you will learn about key AI use cases driving innovation and change across Automotive, Financial Services, Energy, Healthcare, Higher Education, Manufacturing, Retail and Telco industries.
   
   
   Course Objectives:
   By the end of this training, you should be able to:
   1. Discuss common AI use cases across a broad range of industry verticals
   2. Explain how NVIDIA’s AI software stack speeds up time to production for AI projects in multiple industry verticals

   Published: 2024-08-02
   Length: 32 minutes
   

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

   Course code: DAINVD108
8. Generative AI Overview
   2024-08-02 | 17 minutes | Employees and Partners
   Details
   Generative AI Overview
   
   

   IMPORTANT: If you receive the following error message:
   "There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
   
   
   Since ChatGPTs debut in November of 2022, it has become clear that Generative AI has the potential to revolutionize many aspects of our personal and professional lives. This NVIDIA course aims to answer questions such as:
   
   • What are the Generative AI market trends?
   • What is generative AI and how does it work?
   
   
   Course Objectives:
   
   By the end of this training, you should be able to:
   1. Discuss the Generative AI market trends and the challenges in this space with your customers.
   2. Explain what Generative AI is and how the technology works to help enterprises to unlock new opportunities for the business.
   3. Present a high-level overview of the steps involved in building a Generative AI application.

   Published: 2024-08-02
   Length: 17 minutes
   

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

   Course code: DAINVD106r2
9. Retrieval Augmented Generation
   2024-08-02 | 15 minutes | Employees and Partners
   Details
   Retrieval Augmented Generation
   
   

   IMPORTANT: If you receive the following error message:
   "There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
   
   
   In this NVIDIA course, Dave Barry, Senior Solutions Architect, talks about a technique known as Retrieval Augmented Generation (RAG). It is a powerful tool for enhancing the accuracy and reliability of Generative AI models with facts fetched from external sources.
   
   This course requires prior knowledge of Generative AI concepts, such as the difference between model training and inference. Please refer to relevant courses within this curriculum.
   
   
   Course Objectives:
   
   By the end of this training, you should be able to:
   1. Explain the limitations of large language models to customers
   2. Articulate the value of RAG to enterprises
   3. Demo an NVIDIA RAG workflow with a video
   4. Drive TCO conversations using an authentic use case

   Published: 2024-08-02
   Length: 15 minutes
   

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

   Course code: DAINVD107
10. AI Industry Use Cases & Solutions
    2024-08-02 | 25 minutes | Employees and Partners
    Details
    AI Industry Use Cases & Solutions
    
    

    IMPORTANT: If you receive the following error message:
    "There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
    
    
    This NVIDIA course aims to answer the question:
    
    • How does NVIDIA bring AI solutions to market with and through the partner ecosystem?
    
    
    Course Objectives:
    
    By the end of this training, you should be able to:
    1. Think of solutions in terms of an industry and use case approach
    2. Develop solutions that address the industry-specific challenges (with FSI as the illustrative model)
    3. Engage customers with their conversations and advance deals with stakeholder’s concerns in mind
    4. Replicate NVIDIA’s best practices and ecosystem engagement strategies appropriately

    Published: 2024-08-02
    Length: 25 minutes
    

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

    Course code: DAINVD105r2
11. Partner Technical Webinar - NVIDIA Smart Spaces
    2024-07-24 | 60 minutes | Employees and Partners
    Details
    Partner Technical Webinar - NVIDIA Smart Spaces
    
    

    In this 60-minute replay, Alex Pazos, NVIDIA BDM for Smart Spaces, reviewed the NVIDIA AI for Smart Spaces framework and use cases. Alex reviewed the Metropolus Framework and the Smart Spaces ecosystem. Then he reviewed several use cases including sports stadiums, warehouses, airports, and roadways.

    Published: 2024-07-24
    Length: 60 minutes
    

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

    Course code: 071924
12. 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.

    Published: 2024-07-01
    Length: 25 minutes
    

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

    Course code: DNVIS102
13. 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

    Published: 2024-05-23
    Length: 60 minutes
    

    Start the training:
    Employee link: Grow@Lenovo
    

    Course code: DTAIW105
14. VTT Cloud Architecture: NVIDIA Using Cloud for GPUs and AI
    2024-05-22 | 60 minutes | Employees Only
    Details
    VTT Cloud Architecture: NVIDIA Using Cloud for GPUs and AI
    
    

    Join JD Dupont, NVIDIA Head of Americas Sales, Lenovo partnership and Veer Mehta, NVIDIA Solution Architect on an interactive discussion about cloud to edge, designing cloud Solutions with NVIDIA GPUs and minimizing private\hybrid cloud OPEX with GPUs. Discover how you can use what is done at big public cloud providers for your customers. We will also walk through use cases and see a demo you can use to help your customers.

    Published: 2024-05-22
    Length: 60 minutes
    

    Start the training:
    Employee link: Grow@Lenovo
    

    Course code: DVCLD212
15. 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
    

    Start the training:
    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 H200 product page:
  https://www.nvidia.com/en-us/data-center/h200/
• NVIDIA Hopper Architecture page
  https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/
• ThinkSystem SR680a V3 product guide
  https://lenovopress.lenovo.com/lp1909-thinksystem-sr680a-v3-server