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ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU

Product Guide

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29 Aug 2023
Form Number
LP1717
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19 pages, 207 KB

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 August 29, 2023 update:

  • The L4 is now supported in the following server - Server support section
    • SE350

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.

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

Table 1. Ordering information
Part number Feature code Description
4X67A84824 BS2C ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU

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.

Table 2. Specifications of the ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU
Feature Specification
GPU Architecture NVIDIA Ada Lovelace
Peak FP32 performance (non-Tensor) 30.3 TFLOPS
Peak FP16 Tensor performance 121 TFLOPS, 242 TFLOPS*
Peak Tensor Float 32 (TF32) performance 60 TFLOPS, 120 TFLOPS*
Peak Bfloat16 (BF16) performance with FP32 Accumulate 121 TFLOPS, 242 TFLOPS*
Peak FP8 Tensor performance 242.5 TFLOPS, 485 TFLOPS*
Peak Integer Performance INT8: 242.5 TOPS, 485 TOPS*
GPU Memory 24 GB GDDR6
Memory Bandwidth 300 GB/s
ECC Yes
NVIDIA NVLink No support
System Interface PCIe Gen 4, x16 lanes
Form Factor PCIe low profile (169mm x 69mm)
Multi-Instance GPU (MIG) No support
Max Power Consumption 72 W
Thermal Solution Passive
vGPU Software Support NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation (vWS)
Display connectors None
Graphics APIs DirectX 12 Ultimate, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3
Compute APIs CUDA 12.0, Direct Compute, OpenCL 3.0

* With structural sparsity enabled

Server support

The following tables list the ThinkSystem servers that are compatible.

Table 3. Server support (Part 1 of 4)
Part Number Description 2S AMD V3 2S Intel V3 4S 8S Intel V3 Multi Node GPU Rich 1S V3
SR635 V3 (7D9H / 7D9G)
SR655 V3 (7D9F / 7D9E)
SR645 V3 (7D9D / 7D9C)
SR665 V3 (7D9B / 7D9A)
ST650 V3 (7D7B / 7D7A)
SR630 V3 (7D72 / 7D73)
SR650 V3 (7D75 / 7D76)
SR850 V3 (7D97 / 7D96)
SR860 V3 (7D94 / 7D93)
SR950 V3 (7DC5 / 7DC4)
SD535 V3 (7DD8 / 7DD1)
SD530 V3 (7DDA / 7DD3)
SD550 V3 (7DD9 / 7DD2)
SR670 V2 (7Z22 / 7Z23)
SR675 V3 (7D9Q / 7D9R)
SR680a V3 (7DHE)
SR685a V3 (7DHC)
ST50 V3 (7DF4 / 7DF3)
ST250 V3 (7DCF / 7DCE)
SR250 V3 (7DCM / 7DCL)
4X67A84824 ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU 4 5 2 5 8 3 8 4 8 N 1 1 2 8 N N N N N N
Table 4. Server support (Part 2 of 4)
Part Number Description Edge Super Computing 1S Intel V2 2S Intel V2
SE350 (7Z46 / 7D1X)
SE350 V2 (7DA9)
SE360 V2 (7DAM)
SE450 (7D8T)
SE455 V3 (7DBY)
SD665 V3 (7D9P)
SD665-N V3 (7DAZ)
SD650 V3 (7D7M)
SD650-I V3 (7D7L)
SD650-N V3 (7D7N)
ST50 V2 (7D8K / 7D8J)
ST250 V2 (7D8G / 7D8F)
SR250 V2 (7D7R / 7D7Q)
ST650 V2 (7Z75 / 7Z74)
SR630 V2 (7Z70 / 7Z71)
SR650 V2 (7Z72 / 7Z73)
4X67A84824 ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU 1 N 2 4 6 N N N N N N N N 8 3 8
Table 5. Server support (Part 3 of 4)
Part Number Description AMD V1 Dense V2 4S V2 8S 4S V1 1S Intel V1
SR635 (7Y98 / 7Y99)
SR655 (7Y00 / 7Z01)
SR655 Client OS
SR645 (7D2Y / 7D2X)
SR665 (7D2W / 7D2V)
SD630 V2 (7D1K)
SD650 V2 (7D1M)
SD650-N V2 (7D1N)
SN550 V2 (7Z69)
SR850 V2 (7D31 / 7D32)
SR860 V2 (7Z59 / 7Z60)
SR950 (7X11 / 7X12)
SR850 (7X18 / 7X19)
SR850P (7D2F / 2D2G)
SR860 (7X69 / 7X70)
ST50 (7Y48 / 7Y50)
ST250 (7Y45 / 7Y46)
SR150 (7Y54)
SR250 (7Y52 / 7Y51)
4X67A84824 ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU N N N N 8 N N N N N N N N N N N N N N
Table 6. Server support (Part 4 of 4)
Part Number Description 2S Intel V1 Dense V1
ST550 (7X09 / 7X10)
SR530 (7X07 / 7X08)
SR550 (7X03 / 7X04)
SR570 (7Y02 / 7Y03)
SR590 (7X98 / 7X99)
SR630 (7X01 / 7X02)
SR650 (7X05 / 7X06)
SR670 (7Y36 / 7Y37)
SD530 (7X21)
SD650 (7X58)
SN550 (7X16)
SN850 (7X15)
4X67A84824 ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU N N N N N N N N N N N N

Operating system support

The following table lists the supported operating systems.

Tip: These tables are automatically generated based on data from Lenovo ServerProven.

Table 7. Operating system support for ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU, 4X67A84824 (Part 1 of 2)
Operating systems
SE360 V2
SE450
SE455 V3
SE350
SD530 V3
SD535 V3
SD550 V3
SR630 V3 (4th Gen Xeon)
SR630 V3 (5th Gen Xeon)
SR635 V3
SR645 V3
SR650 V3 (4th Gen Xeon)
SR650 V3 (5th Gen Xeon)
SR655 V3
SR665 V3
SR850 V3
SR860 V3
ST650 V3
Microsoft Windows 10 N N N N N N N N N Y Y N Y Y Y N N N
Microsoft Windows 11 N N N N N N N N N Y Y N Y Y Y N N N
Microsoft Windows Server 2016 N N N Y N N N N N N N N N N N N N N
Microsoft Windows Server 2019 Y Y Y Y N N N Y Y Y Y Y Y Y Y Y 1 Y 1 Y
Microsoft Windows Server 2022 Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
Red Hat Enterprise Linux 7.9 N Y N Y N N N N N N N N N N N N N N
Red Hat Enterprise Linux 8.3 N N N Y N N N N N N N N N N N N N N
Red Hat Enterprise Linux 8.4 N Y N Y N N N N N N N N N N N N N N
Red Hat Enterprise Linux 8.5 N Y N Y N N N N N N N N N N N N N N
Red Hat Enterprise Linux 8.6 Y Y Y Y N N N Y N Y Y Y N Y Y Y Y Y
Red Hat Enterprise Linux 8.7 N Y N Y N N N Y N Y Y Y N Y Y Y Y Y
Red Hat Enterprise Linux 8.8 Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
Red Hat Enterprise Linux 8.9 N N N N N N N N N Y Y N N Y Y N N N
Red Hat Enterprise Linux 9.0 Y Y Y Y N N N Y N Y Y Y N Y Y Y Y Y
Red Hat Enterprise Linux 9.1 N Y N Y N N N Y N Y Y Y N Y Y Y Y Y
Red Hat Enterprise Linux 9.2 Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
Red Hat Enterprise Linux 9.3 N N N N N N N N N Y Y N N Y Y N N N
SUSE Linux Enterprise Server 15 SP3 N N N Y N N N N N N N N N N N N N N
SUSE Linux Enterprise Server 15 SP4 Y Y Y Y N N N Y N Y Y Y N Y Y Y Y Y
SUSE Linux Enterprise Server 15 SP5 Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
Ubuntu 18.04.5 LTS N N N N N N N N N N N N N N N N N N
Ubuntu 18.04.6 LTS N Y N Y N N N N N N N N N N N N N N
Ubuntu 20.04 LTS N N N N N N N N N N N N N N N N N N
Ubuntu 20.04.5 LTS Y Y Y Y N Y N N N Y Y N N Y Y Y Y N
Ubuntu 22.04 LTS Y Y N Y N N N Y N Y Y Y N Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 6.7 U3 N N N Y N N N N N N N N N N N N N N
VMware vSphere Hypervisor (ESXi) 7.0 U3 Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 N Y N Y N N N Y N Y Y Y N Y Y N N N
VMware vSphere Hypervisor (ESXi) 8.0 U1 Y Y Y Y N N N Y N Y Y Y N Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 U2 N Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

1 For limitation, please refer Support Tip TT1591

Table 8. Operating system support for ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU, 4X67A84824 (Part 2 of 2)
Operating systems
SR630 V2
SR650 V2
SR670 V2
ST650 V2
SR665
Microsoft Windows 10 N N N N N
Microsoft Windows 11 N N N N N
Microsoft Windows Server 2016 Y Y Y Y Y
Microsoft Windows Server 2019 Y Y Y Y Y
Microsoft Windows Server 2022 Y Y Y Y Y
Red Hat Enterprise Linux 7.9 Y Y Y Y Y 1
Red Hat Enterprise Linux 8.3 Y Y Y Y Y
Red Hat Enterprise Linux 8.4 Y Y Y Y Y
Red Hat Enterprise Linux 8.5 Y Y Y Y Y
Red Hat Enterprise Linux 8.6 Y Y Y Y Y
Red Hat Enterprise Linux 8.7 Y Y Y Y Y
Red Hat Enterprise Linux 8.8 Y Y Y Y Y
Red Hat Enterprise Linux 8.9 N N N N N
Red Hat Enterprise Linux 9.0 Y Y Y Y Y
Red Hat Enterprise Linux 9.1 Y Y Y Y Y
Red Hat Enterprise Linux 9.2 Y Y Y Y Y
Red Hat Enterprise Linux 9.3 N N N N N
SUSE Linux Enterprise Server 15 SP3 Y Y Y Y Y
SUSE Linux Enterprise Server 15 SP4 Y Y Y Y Y
SUSE Linux Enterprise Server 15 SP5 Y Y Y Y Y
Ubuntu 18.04.5 LTS Y Y Y Y N
Ubuntu 18.04.6 LTS N N N N N
Ubuntu 20.04 LTS Y Y N N N
Ubuntu 20.04.5 LTS N N N N N
Ubuntu 22.04 LTS Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 6.7 U3 Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 7.0 U3 Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 U1 Y Y Y Y Y
VMware vSphere Hypervisor (ESXi) 8.0 U2 Y Y Y Y Y

1 The OS is not supported with EPYC 7003 processors.

NVIDIA GPU software

NVIDIA vGPU Software (vApps, vPC, RTX vWS, and vCS)

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.

  • Virtual Compute Server (vCS)

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

The following license types are offered:

  • Perpetual license

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

  • Annual subscription

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

  • Concurrent User (CCU)

    A method of counting licenses based on active user VMs. If the VM is active and the NVIDIA vGPU software is running, then this counts as one CCU. A vGPU CCU is independent of the connection to the VM.

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

Table 9. NVIDIA vGPU Software
Part number Feature code
7S02CTO1WW
Description
NVIDIA vApps
7S020003WW B1MP NVIDIA vApps Perpetual License and SUMS 5Yr, 1 CCU
7S020004WW B1MQ NVIDIA vApps Subscription License 1 Year, 1 CCU
7S020005WW B1MR NVIDIA vApps Subscription License 3 Years, 1 CCU
7S02003DWW S832 NVIDIA vApps Subscription License 4 Years, 1 CCU
7S02003EWW S833 NVIDIA vApps Subscription License 5 Years, 1 CCU
NVIDIA vPC
7S020009WW B1MV NVIDIA vPC Perpetual License and SUMS 5Yr, 1 CCU
7S02000AWW B1MW NVIDIA vPC Subscription License 1 Year, 1 CCU
7S02000BWW B1MX NVIDIA vPC Subscription License 3 Years, 1 CCU
7S02003FWW S834 NVIDIA vPC Subscription License 4 Years, 1 CCU
7S02003GWW S835 NVIDIA vPC Subscription License 5 Years, 1 CCU
NVIDIA RTX vWS
7S02000FWW B1N1 NVIDIA RTX vWS Perpetual License and SUMS 5Yr, 1 CCU
7S02000GWW B1N2 NVIDIA RTX vWS Subscription License 1 Year, 1 CCU
7S02000HWW B1N3 NVIDIA RTX vWS Subscription License 3 Years, 1 CCU
7S02000XWW S6YJ NVIDIA RTX vWS Subscription License 4 Years, 1 CCU
7S02000YWW S6YK NVIDIA RTX vWS Subscription License 5 Years, 1 CCU
7S02000LWW B1N6 NVIDIA RTX vWS EDU Perpetual License and SUMS 5Yr, 1 CCU
7S02000MWW B1N7 NVIDIA RTX vWS EDU Subscription License 1 Year, 1 CCU
7S02000NWW B1N8 NVIDIA RTX vWS EDU Subscription License 3 Years, 1 CCU
7S02003BWW S830 NVIDIA RTX vWS EDU Subscription License 4 Years, 1 CCU
7S02003CWW S831 NVIDIA RTX vWS EDU Subscription License 5 Years, 1 CCU
NVIDIA vCS
7S02000ZWW S6YL NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 1 Year
7S020010WW S6YM NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 3 Years
7S020011WW S6YN NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 5 Years
7S020012WW S6YP NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 1 Year
7S020013WW S6YQ NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 3 Years
7S020014WW S6YR NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 5 Years

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 A5000 or A6000 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.

Table 10. NVIDIA Omniverse Software (OVE)
Part number Feature
7S02CTO1WW
Description
7S02003ZWW SCX0 NVIDIA Omniverse Enterprise Subscription per GPU, 1 Year
7S020042WW SCX3 NVIDIA Omniverse Enterprise Subscription per GPU, 3 Years
7S020041WW SCX2 NVIDIA Omniverse Enterprise Subscription per GPU, INC, 1 Year
7S020040WW SCX1 NVIDIA Omniverse Enterprise Subscription per GPU, EDU, 1 Year
7S020043WW SCX4 NVIDIA Omniverse Enterprise Subscription per GPU, EDU, 3 Years

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.

Table 11. Features of NVIDIA AI Enterprise Software (NVAIE)
Features Supported in NVIDIA AI Enterprise
Per GPU Licensing Yes
Compute Virtualization Supported
Windows Guest OS Support No support
Linux Guest OS Support Supported
Maximum Displays 1
Maximum Resolution 4096 x 2160 (4K)
OpenGL and Vulkan In-situ Graphics only
CUDA and OpenCL Support Supported
ECC and Page Retirement Supported
MIG GPU Support Supported
Multi-vGPU Supported
NVIDIA GPUDirect Supported
Peer-to-Peer over NVLink Supported
GPU Pass Through Support Supported
Baremetal Support Supported
AI and Data Science applications and Frameworks Supported
Cloud Native ready Supported

Note: Maximum 10 concurrent VMs per product license

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

Table 12. NVIDIA AI Enterprise Software (NVAIE)
Part number Feature code
7S02CTO1WW
Description
AI Enterprise Perpetual License
7S020019WW S6YW NVIDIA AI Enterprise Perpetual License and Support per GPU, 1 Year
7S02001AWW S6YX NVIDIA AI Enterprise Perpetual License and Support per GPU, 3 Years
7S02001BWW S6YY NVIDIA AI Enterprise Perpetual License and Support per GPU, 5 Years
7S02001CWW S6YZ NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 1 Year
7S02001DWW S6Z0 NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 3 Years
7S02001EWW S6Z1 NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 5 Years
AI Enterprise Subscription License
7S02001FWW S6Z2 NVIDIA AI Enterprise Subscription License and Support per GPU, 1 Year
7S02001GWW S6Z3 NVIDIA AI Enterprise Subscription License and Support per GPU, 3 Years
7S02001HWW S6Z4 NVIDIA AI Enterprise Subscription License and Support per GPU, 5 Years
7S02001JWW S6Z5 NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 1 Year
7S02001KWW S6Z6 NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 3 Years
7S02001LWW S6Z7 NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 5 Years

Find more information in the NVIDIA AI Enterprise Sizing Guide.

NVIDIA HPC Compiler Software

Table 13. NVIDIA HPC Compiler
Part number Feature code
7S09CTO6WW
Description
HPC Compiler Support Services
7S090014WW S924 NVIDIA HPC Compiler Support Services, 1 Year
7S090015WW S925 NVIDIA HPC Compiler Support Services, 3 Years
7S09002GWW S9UQ NVIDIA HPC Compiler Support Services, 5 Years
7S090016WW S926 NVIDIA HPC Compiler Support Services, EDU, 1 Year
7S090017WW S927 NVIDIA HPC Compiler Support Services, EDU, 3 Years
7S09002HWW S9UR NVIDIA HPC Compiler Support Services, EDU, 5 Years
7S090018WW S928 NVIDIA HPC Compiler Support Services - Additional Contact, 1 Year
7S09002JWW S9US NVIDIA HPC Compiler Support Services - Additional Contact, 3 Years
7S09002KWW S9UT NVIDIA HPC Compiler Support Services - Additional Contact, 5 Years
7S090019WW S929 NVIDIA HPC Compiler Support Services - Additional Contact, EDU, 1 Year
7S09002LWW S9UU NVIDIA HPC Compiler Support Services - Additional Contact, EDU, 3 Years
7S09002MWW S9UV NVIDIA HPC Compiler Support Services - Additional Contact, EDU, 5 Years
HPC Compiler Premier Support Services
7S09001AWW S92A NVIDIA HPC Compiler Premier Support Services, 1 Year
7S09002NWW S9UW NVIDIA HPC Compiler Premier Support Services, 3 Years
7S09002PWW S9UX NVIDIA HPC Compiler Premier Support Services, 5 Years
7S09001BWW S92B NVIDIA HPC Compiler Premier Support Services, EDU, 1 Year
7S09002QWW S9UY NVIDIA HPC Compiler Premier Support Services, EDU, 3 Years
7S09002RWW S9UZ NVIDIA HPC Compiler Premier Support Services, EDU, 5 Years
7S09001CWW S92C NVIDIA HPC Compiler Premier Support Services - Additional Contact, 1 Year
7S09002SWW S9V0 NVIDIA HPC Compiler Premier Support Services - Additional Contact, 3 Years
7S09002TWW S9V1 NVIDIA HPC Compiler Premier Support Services - Additional Contact, 5 Years
7S09001DWW S92D NVIDIA HPC Compiler Premier Support Services - Additional Contact, EDU, 1 Year
7S09002UWW S9V2 NVIDIA HPC Compiler Premier Support Services - Additional Contact, EDU, 3 Years
7S09002VWW S9V3 NVIDIA HPC Compiler Premier Support Services - Additional Contact, EDU, 5 Years

Auxiliary power cables

The NVIDIA L4 does not require an auxiliary power cable.

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.

  1. 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
    Employee link: Grow@Lenovo
    Course code: DTAIW105
  2. 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
    Employee link: Grow@Lenovo
    Course code: DVCLD212
  3. 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
    Employee link: Grow@Lenovo
    Partner link: Lenovo Partner Learning
    Course code: 051024
  4. Generative AI Overview Foundational
    2024-02-16 | 17 minutes | Employees Only
    Details
    Generative AI Overview Foundational

    It seems the whole world is excited about Generative AI, and while some of it is just hype, it has become clear that Generative AI has the potential to revolutionize many aspects of our personal and professional lives. In this brief NVIDIA course, we'll explore one aspect of the Generative AI excitement, the value you get from Generative AI technology. We will discuss what Generative AI is, how it works, and how enterprises are planning to use this technology.

    By the end of this course, you will be able to discuss the Generative AI market trends and the challenges in this space with your customers. And you will be able to explain what Generative AI is and how the technology works to help enterprises unlock new opportunities for business.

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

    As GPU powered computing continues to improve exponentially, applications that were once science fiction are becoming best practice. This is an introductory NVIDIA course that explores some exciting industry focused use cases that are providing companies with faster time to insight, productivity at scale and a great ROI.

    By the end of this course, you will be able to explain how companies in a few key industry verticals are benefiting from a variety of accelerated compute use cases.

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

    This NVIDIA course aims to answer questions such as, what is AI and why are enterprises so interested in it? and how does AI happen, why are GPUs so important for it, and what does a good AI solution look like?

    By the end of this training, you should be able to describe AI and relate it to some common enterprise use cases. You'll know the difference between training and inference and be able to visualize a typical AI workflow. More importantly, you'll understand the difficulties of traditional CPU-based AI and appreciate why businesses would benefit greatly by adopting GPU-accelerated workflows. Finally, you'll also understand what features contribute to an awesome AI solution and why customers respect and enjoy NVIDIA's solutions.

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

    This NVIDIA course introduces you to two devices that a computer typically uses to process information, the CPU and the GPU. We'll discuss their differences and look at how the GPU overcomes the limitations of the CPU. Once you understand the power and advantages of GPU processing, we will talk about the value GPUs bring to modern-day enterprise computing.

    By the end of this course, you should know the difference between serial and parallel processing. You will be able to explain what a GPU is in very simple terms and explain the value that GPUs bring to enterprises. Additionally, you'll become familiar with the typical GPU-accelerated enterprise workloads and list one or two use cases under them. By the time you exit this course, you should be able to target various GPU-accelerated computing opportunities with the right NVIDIA GPU.

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

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

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

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