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Table of Contents
Abstract
The ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU delivers universal acceleration and energy efficiency for video, AI, virtual workstations, and graphics 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 to deliver the best in personalized experiences.
This product guide provides essential presales information to understand the NVIDIA L4 GPU and its key features, specifications, and compatibility. This guide is intended for technical specialists, sales specialists, sales engineers, IT architects, and other IT professionals who want to learn more about the NVIDIA L4 GPU and consider its use in IT solutions.
Change History
Changes in the September 15, 2023 update:
- Added the Controlled status column to Table 1 - Part number information section.
Introduction
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.
Did you know?
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.
Part number information
The following table shows the part numbers for the GPU.
| Part number | Feature code | Description | Controlled GPU status |
|---|---|---|---|
| 4X67A84824 | BS2C | ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU | Controlled |
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
Features
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.
Technical specifications
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.
* With structural sparsity enabled
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following table lists the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
1 Ubuntu 22.04.3 LTS/Ubuntu 22.04.4 LTS
2 For limitation, please refer Support Tip TT1591
1 The OS is not supported with EPYC 7003 processors.
NVIDIA GPU software
This section lists the NVIDIA software that is available from Lenovo.
NVIDIA vGPU Software (vApps, vPC, RTX vWS)
Lenovo offers the following virtualization software for NVIDIA GPUs:
- Virtual Applications (vApps)
For organizations deploying Citrix XenApp, VMware Horizon RDSH or other RDSH solutions. Designed to deliver PC Windows applications at full performance. NVIDIA Virtual Applications allows users to access any Windows application at full performance on any device, anywhere. This edition is suited for users who would like to virtualize applications using XenApp or other RDSH solutions. Windows Server hosted RDSH desktops are also supported by vApps.
- 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. For each perpetual license, customers are also required to purchase a 5-year SUMS support contract. Without this contract, the perpetual license cannot be ordered.
- 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 perpetual license provides the right to use the NVIDIA AI Enterprise software indefinitely, with no expiration. NVIDIA AI Enterprise with perpetual licenses must be purchased in conjunction with one-year, three-year, or five-year support services. A one-year support service is also available for renewals.
- The subscription offerings are an affordable option to allow IT departments to better manage the flexibility of license volumes. NVIDIA AI Enterprise software products with subscription includes support services for the duration of the software’s subscription license
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
Regulatory approvals
The NVIDIA L4 GPU has the following regulatory approvals:
- RCM
- BSMI
- CE
- FCC
- ICES
- KCC
- cUL, UL
- VCCI
Operating environment
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.
Warranty
One year limited warranty. When installed in a Lenovo server, the GPU assumes the server’s base warranty and any warranty upgrades.
Seller training courses
The following sales training courses are offered for employees and partners (login required). Courses are listed in date order.
-
Partner Technical Webinar - NVIDIA Portfolio
2024-11-06 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - NVIDIA Portfolioin 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 minutesCourse code: 110124Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
NVIDIA Data Center GPU Portfolio
2024-09-26 | 11 minutes | Employees and Partners
DetailsNVIDIA Data Center GPU PortfolioThis 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.
Published: 2024-09-26
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
Length: 11 minutesCourse code: DAINVD201Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Q2 Solutions Launch TruScale GPU Next Generation Management in the AI Era Quick Hit
2024-09-10 | 6 minutes | Employees and Partners
DetailsQ2 Solutions Launch TruScale GPU Next Generation Management in the AI Era Quick HitThis 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 minutesCourse code: SXXW2543aStart the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
VTT AI: The NetApp AIPod with Lenovo for NVIDIA OVX
2024-08-13 | 38 minutes | Employees and Partners
DetailsVTT AI: The NetApp AIPod with Lenovo for NVIDIA OVXAI, 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.
Published: 2024-08-13
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
Length: 38 minutesCourse code: DVAI206Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Introduction to Artificial Intelligence
2024-08-02 | 11 minutes | Employees and Partners
DetailsIntroduction to Artificial IntelligenceIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"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
Length: 11 minutesCourse code: DAINVD104r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
GPU Fundamentals
2024-08-02 | 10 minutes | Employees and Partners
DetailsGPU FundamentalsIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"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
Length: 10 minutesCourse code: DAINVD103r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Key NVIDIA Use Cases for Industry Verticals
2024-08-02 | 32 minutes | Employees and Partners
DetailsKey NVIDIA Use Cases for Industry VerticalsIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"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
Length: 32 minutesCourse code: DAINVD108Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Generative AI Overview
2024-08-02 | 17 minutes | Employees and Partners
DetailsGenerative AI OverviewIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"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.
Length: 17 minutesCourse code: DAINVD106r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Retrieval Augmented Generation
2024-08-02 | 15 minutes | Employees and Partners
DetailsRetrieval Augmented GenerationIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"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
Length: 15 minutesCourse code: DAINVD107Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
AI Industry Use Cases & Solutions
2024-08-02 | 25 minutes | Employees and Partners
DetailsAI Industry Use Cases & SolutionsIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"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
Length: 25 minutesCourse code: DAINVD105r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Partner Technical Webinar - NVIDIA Smart Spaces
2024-07-24 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - NVIDIA Smart SpacesIn 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 minutesCourse code: 071924Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Guidance for Selling NVIDIA Products at Lenovo for ISG
2024-07-01 | 25 minutes | Employees and Partners
DetailsGuidance for Selling NVIDIA Products at Lenovo for ISGThis 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 minutesCourse code: DNVIS102Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Think AI Weekly: Lenovo AI PCs & AI Workstations
2024-05-23 | 60 minutes | Employees Only
DetailsThink AI Weekly: Lenovo AI PCs & AI WorkstationsJoin 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 minutesCourse code: DTAIW105Start the training:
Employee link: Grow@Lenovo -
VTT Cloud Architecture: NVIDIA Using Cloud for GPUs and AI
2024-05-22 | 60 minutes | Employees Only
DetailsVTT Cloud Architecture: NVIDIA Using Cloud for GPUs and AIJoin 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 minutesCourse code: DVCLD212Start the training:
Employee link: Grow@Lenovo -
Partner Technical Webinar - Nvidia Update
2024-05-13 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - Nvidia UpdateIn 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 minutesCourse code: 051024Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Partner Technical Webinar - NVidia
2023-12-11 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - NVidiaIn 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 minutesCourse code: 120823Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning
1-10 of 16 courses.
Related publications
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/
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Lenovo and the Lenovo logo are trademarks or registered trademarks of Lenovo in the United States, other countries, or both. A current list of Lenovo trademarks is available on the Web at https://www.lenovo.com/us/en/legal/copytrade/.
The following terms are trademarks of Lenovo in the United States, other countries, or both:
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Full Change History
Changes in the September 15, 2023 update:
- Added the Controlled status column to Table 1 - Part number information section
Changes in the August 29, 2023 update:
- The L4 is now supported in the following server - Server support section
- SE350
Changes in the June 6, 2023 update:
- The L4 is now supported in the following additional servers - Server support section
- SE450, SR665, ST650 V2, SR630 V2, SR650 V2, SR670 V2, SR850 V3, SR860 V3
First published: May 4, 2023
Course Detail
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