ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU

The ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU delivers unprecedented visual computing performance for the data center and provides revolutionary neural graphics, compute, and AI capabilities to accelerate the most demanding visual computing workloads. With up to twice the performance of the previous generation at the same power, the NVIDIA L40 is uniquely suited to provide the visual computing power and performance required by the modern data center.

The following figure shows the ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU.

Figure 1. ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU

The NVIDIA L40, based on the NVIDIA Ada Lovelace GPU architecture features new generation RT cores and Tensor cores, delivering in combination over a petaflop of inferencing performance. These new features are combined with the latest generation CUDA Cores and 48GB of graphics memory to accelerate visual computing workloads from high-performance virtual workstation instances to large-scale digital twins in NVIDIA Omniverse.

The following table shows the part numbers for the GPU.

The NVIDIA L40 GPU is Controlled which means the GPU is not offered in certain markets, as determined by the US Government.

The option part number includes the following:

• One NVIDIA L40 GPU with full-height (3U) adapter bracket attached
• Documentation

From virtual workstation application to large-scale modeling and simulation, modern visual computing and scientific workflows are growing in both complexity and quantity.

Enterprises need data center technology that can deliver extreme performance and scale with versatile capabilities to conquer the diverse computing demands of these increasingly complex workloads.

The NVIDIA® L40 GPU delivers unprecedented visual computing performance for the data center, providing next- generation graphics, compute, and AI capabilities. Built on the revolutionary NVIDIA Ada Lovelace architecture, the NVIDIA L40 harnesses the power of the latest generation RT, Tensor, and CUDA cores to deliver groundbreaking visualization and compute performance for the most demanding data center workloads.

Next-Generation Graphics and Compute Performance

• 142 third-generation RT Cores and industry-leading 48 GB of GDDR6 memory: The NVIDIA L40 delivers up to twice the real-time ray-tracing performance of the previous Ampere generation to enable high-performance ray tracing of complex geometry and the creation of beautifully detailed, photorealistic models and scenes. Accelerate high-fidelity creative workflows, including real-time, full-fidelity, interactive rendering, 3D design, video streaming, and virtual
• Faster rendering and smoother frame rates with NVIDIA Deep Learning Super Sampling 3 (DLSS 3): This breakthrough frame generation technology leverages deep learning and the latest hardware innovations within the Ada Lovelace Architecture and L40 GPU, including 4th-Generation Tensor Cores and a new Optical Flow Accelerator, to boost rendering performance, deliver higher FPS, and significantly improve
• The NVIDIA L40 includes 18,176 Ada Lovelace GPU architecture CUDA cores delivering over 2X the single-precision floating-point (FP32) performance to accelerate 3D graphics, simulation and physics
• Breakthrough media acceleration capabilities: The NVIDIA L40 takes streaming and video content workloads to the next level with three video encode and three video decode engines. With the addition of AV1 encoding, the L40 delivers up to twice the performance and improved TCO for broadcast streaming, video production, and transcription
• Incredible training and inference capabilities with 90.5 TFLOPs of FP32 performance. The NVIDIA L40 includes 568 fourth-generation Tensor Cores providing up to 2X faster AI training performance than the previous generation with FP16 precision. Support for the new FP8 data format for inferencing provides more than 4X faster performance than the previous generation and reduces data memory usage by half (compared to FP16 data format)

 Data Center-Ready

• The NVIDIA L40 is optimized for 24x7 enterprise data center operations and is designed, built, extensively tested, and supported exclusively by NVIDIA to ensure maximum
• Secure boot with root of trust (RoT) technology within the GPU provide an additional layer of security for data centers. The NVIDIA L40 meets the latest data center standards and is NEBS Level 3
• Passively cooled, full-height, full-length (FHFL), dual-slot design
• The NVIDIA L40 is capable of 300W maximum board power and driven by power-efficient hardware and components selected for optimum performance, durability, and

The NVIDIA L40 GPU has the following specifications:

• Form factor
  • PCIe Full Height Full Length adapter (4.4-in x 10.5-in), Double-width (dual slot)
  • NVIDIA Form Factor 5.5
• Host interface:
  • PCIe 4.0 x16
  • MSI-X interrupt messaging protocol (MSI not supported)
  • PCIe Lane Polarity Inversion and Lane Reversal
• Single Root I/O Virtualization (SR-IOV) support
  • 256 virtual functions (VFs)
  • ARI Forwarding
• Hardware Root of Trust
  • Secure boot
  • Secure firmware upgrade
  • Firmware rollback protection
  • Support for in-band firmware update disable (established after each GPU reset)
  • Secure application processor recovery

The following table lists the GPU processing specifications and performance of the NVIDIA L40.

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)
• 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 L40 option part number does not ship with auxiliary power cables. Cables are server-specific due to length requirements and the connector on the server end of the cable. 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 NVIDIA L40

Auxiliary power cable needed with the SE455 V3 and SE450

450mm 16-pin (2x6+4) cable Option: SE455 V3: 4X97A89288, ThinkEdge NVIDIA L40 GPU Power Cable Kit (contains 2 cables) SE450: 4X97A89288, ThinkEdge NVIDIA L40 GPU Power Cable Kit (contains 2 cables) Feature: BVVG SBB: SBB7A74096 Base: SC17B36330 FRU: 03LE760 Additional components may be required when installing the GPU. See the SE455 V3 product guide for details.

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

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 number is for the thermal kit and includes other components needed to install the GPU. See the respective server product guide 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 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

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

The NVIDIA L40 GPU has the following regulatory approvals:

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

The NVIDIA L40 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. 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 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

   Published: 2024-08-13
   Length: 38 minutes
   

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

   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:
  http://www.lenovo.com/us/en/serverproven
• NVIDIA L40 product page:
  https://www.nvidia.com/en-us/data-center/l40/