ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU

The ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU delivers universal acceleration and energy efficiency for video, AI, virtual workstations, and graphics applications in the enterprise, in the cloud, and at the edge. And with NVIDIA’s AI platform and full-stack approach, the NVIDIA L4 GPU is optimized for video and inference at scale for a broad range of AI applications to deliver the best in personalized experiences.

The following figure shows the ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU.

Figure 1. ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU

The NVIDIA L4 Tensor Core GPU powered by the NVIDIA Ada Lovelace architecture is a universal, energy-efficient accelerator designed to meet AI needs across video, visual computing, graphics, virtualization, and numerous applications, including cloud gaming, simulation, and data science. It’s a true universal GPU in a low-profile form factor that delivers a cost-effective, energy-efficient solution for high throughput and low latency in every server, from the edge to the data center to the cloud.

The following table shows the part numbers for the GPU.

The NVIDIA L4 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 L4 GPU with full-height (3U) adapter bracket attached
• Low-profile (2U) adapter bracket
• Documentation

The NVIDIA Ada Lovelace L4 Tensor Core GPU delivers universal acceleration and energy efficiency for video, AI, virtualized desktop, and graphics applications in the enterprise, in the cloud, and at the edge. With NVIDIA’s AI platform and full-stack approach, L4 is optimized for video and inference at scale for a broad range of AI applications, including recommendations, voice-based AI avatar assistants, generative AI, visual search, and contact center automation to deliver the best personalized experiences.

As the most efficient NVIDIA accelerator for mainstream, servers equipped with L4 enable up to 120X higher AI Video performance over CPU solutions, while providing 2.7X more generative AI performance, and over 4X more graphics performance versus the previous generation NVIDIA T4. NVIDIA L4’s versatility and energy-efficient, single-slot, low-profile form factor make it ideal for global deployments, including edge locations.

Real-time AI Video Pipeline Performance

Transform video applications with the power of NVIDIA L4. Whether streaming live to millions of viewers, enabling users to build creative stories, delivering immersive AR/VR experiences, servers equipped with L4’s hardware-accelerated video encoders and decoders allow hosting up to 1040 AV1 video-streams at 720p30 for mobile users concurrently (Measured performance: AV1 low-latency encode with p1 preset).

With the fourth-generation Tensor Core technology with added FP8 precision support and 1.5X larger GPU memory, NVIDIA L4 GPUs paired with the CV-CUDA library take video content understanding to a new level. L4 delivers 120X higher AI Video performance than CPU based solutions for the entire end-to-end pipeline, enabling enterprises to gain real-time insights to provide personalized content, improve search relevance, detect objectionable content, and implement smart space solutions.

Generative AI Performance

Generative AI application capabilities in image and text generation make customer lives more convenient and experiences more immersive across all industries. NVIDIA L4 supercharges computationally intensive generative AI inference by delivering up to 2.7X higher performance compared to the NVIDIA T4. And, with 50% more memory capacity, L4 enables larger image generation up to 1024x768, not possible on the T4 GPU.

High Energy Efficiency and Low TCO

As AI and video become more pervasive, the demand for efficient, cost effective computing is increasing more than ever. NVIDIA L4 GPUs deliver up to 120X better AI video performance, resulting in up to 99% better energy efficiency and lower total cost of ownership compared to traditional CPU-based infrastructure. This enables enterprises to reduce rack space and significantly lower the overall carbon footprint while making their data centers capable of scaling to many more users.

The energy saved by switching from CPUs to NVIDIA L4s in a 2MW data center can power over 2,000 homes for one year or the carbon offset from 172,000 trees grown over 10 years. (results from the EPA calculator using 935MW savings)

Optimized Graphics Performance

With third-generation RT cores and AI-powered DLSS 3, NVIDIA L4 delivers over 4X higher performance for AI-based avatars, NVIDIA Omniverse™ virtual worlds, cloud gaming, and virtual workstations enabling creators to build real-time cinematic- quality graphics and incredibly detailed scenes for an immersive visual experience not possible with CPUs.

Sustainable Workload Acceleration

The NVIDIA L4 is an integral part of the NVIDIA data center platform. Built for video, AI, virtual workstation (vWS), graphics, simulation, data science, and data analytics, the platform accelerates over 3,000 applications and is available everywhere at scale, from data center to edge to cloud, delivering both dramatic performance gains and energy-efficiency opportunities.

Optimized for mainstream deployments, L4 delivers a low-profile form factor operating in a 72W low-power envelope, making it an efficient, cost-effective solution for any server or cloud instance from NVIDIA’s partner ecosystem.

Enterprise Ready: AI Software Streamlines Development and Deployment

Enterprise adoption of AI is now mainstream, and organizations require end-to-end, AI-ready infrastructure that will future-proof them for this new era. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software optimized to help every organization excel at AI and certified to deploy anywhere, from the enterprise data center to the cloud. It comes with included global enterprise support to ensure AI projects stay on track.

Optimized to streamline AI development and deployment, NVIDIA AI Enterprise includes proven, open-source containers and frameworks that are certified to run on common data center platforms and mainstream NVIDIA-Certified Systems™ with NVIDIA L4 GPUs. Since support is included, organizations get the transparency of open source and the assurance of global NVIDIA Enterprise Support with AI expertise for both their AI practitioners and IT administrators.

NVIDIA AI Enterprise software is a license addition for NVIDIA L4 Tensor Core GPUs, making AI accessible to nearly every organization with the highest performance in training, inference, and data science. NVIDIA AI Enterprise together with NVIDIA L4 simplifies the building of an AI-ready platform, accelerates AI development and deployment, and delivers performance, security, and scalability to gather insights faster and achieve business value sooner.

Learn about all the AI workloads you can run on L4 with free, hands-on NVIDIA AI Enterprise labs through NVIDIA LaunchPad.

The NVIDIA L4 GPU has the following specifications:

• Form factor
  • PCIe Low Profile adapter (69mm x 169mm)
  • 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 L4.

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 NVIDIA L4 does not require an auxiliary power cable.

The NVIDIA L4 GPU has the following regulatory approvals:

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

The NVIDIA L4 GPU has the following operating characteristics:

• Ambient temperature
  • Operational: 0°C to 50°C (-5°C to 55°C for short term*)
  • Non-operational: -40°C to 75°C
• Humidity: 5-85% relative humidity

* 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 Update
    2024-05-13 | 60 minutes | Employees and Partners
    Details
    Partner Technical Webinar - Nvidia Update
    
    

    In this 60-minute replay, Veer Mehta, Nvidia Solutions Architect gave an Nvidia AI update for Lenovo. Veer reviewed the highlights from the Nvidia GTC. He also reviewed the Nvidia hardware and software offerings that Lenovo sells.

    Published: 2024-05-13
    Length: 60 minutes
    

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

    Course code: 051024
16. 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

1-10 of 16 courses. Show All

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 L4 product page:
  https://www.nvidia.com/en-us/data-center/l4/