Lenovo ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU: технические характеристики и документация
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.

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.
| Part number | Feature code | Description | NVIDIA part number | Controlled GPU status |
|---|---|---|---|---|
| 4X67A84824 | BS2C | ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU | 900-2G193-2700-001 | 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.
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.
| 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.
| Part Number | Description | AMD V3 | 2S Intel V3/V4 | 1S V3 | 4S 8S Intel V3/V4 | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SR635 V3 (7D9H / 7D9G) |
SR655 V3 (7D9F / 7D9E) |
SR645 V3 (7D9D / 7D9C) |
SR665 V3 (7D9B / 7D9A) |
SD535 V3 (7DD8 / 7DD1) |
ST650 V3 (7D7B / 7D7A) |
SR630 V3 (7D72 / 7D73) |
SR650 V3 (7D75 / 7D76) |
SR630 V4 (7DG8 / 7DG9) |
SR650 V4 (7DGC / 7DGD) |
SR650a V4 (7DGC / 7DGD) |
ST45 V3 (7DH4 / 7DH5) |
ST50 V3 (7DF4 / 7DF3) |
ST250 V3 (7DCF / 7DCE) |
SR250 V3 (7DCM / 7DCL) |
SR850 V3 (7D97 / 7D96) |
SR860 V3 (7D94 / 7D93) |
SR950 V3 (7DC5 / 7DC4) |
SR850 V4 (7DJT / 7DJS) |
SR860 V4 (7DJQ / 7DJN) |
||
| 4X67A84824 | ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU | 4 | 8 | 4 | 7 | 1 | 8 | 3 | 8 | 3 | 10 | 8 | N | N | N | N | 4 | 8 | N | 4 | 8 |
| Part Number | Description | AI Servers | Edge | Super computing | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
SR675 V3 (7D9Q / 7D9R) |
SR680a V3 B200 (7DM9) |
SR685a V3 (7DHC) |
SR780a V3 (7DJ5) |
SR680a V4 (7DMK) |
SE100 (7DGR) |
SE455 V3 (7DBY) |
SC750 V4 (7DDJ) |
SC777 V4 (7DKA) |
SD665 V3 (7D9P) |
||
| 4X67A84824 | ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU | 8 | N | N | N | N | N | 6 | N | N | N |
| Part Number | Description | Edge | 1S Intel V2 | 2S Intel V2 | AMD V1 | Multi node | AI | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SE350 (7Z46 / 7D1X) |
SE350 V2 (7DA9) |
SE360 V2 (7DAM) |
SE450 (7D8T) |
ST50 V2 (7D8K / 7D8J) |
ST250 V2 (7D8G / 7D8F) |
SR250 V2 (7D7R / 7D7Q) |
ST650 V2 (7Z75 / 7Z74) |
SR630 V2 (7Z70 / 7Z71) |
SR650 V2 (7Z72 / 7Z73) |
SR635 (7Y98 / 7Y99) |
SR655 (7Y00 / 7Z01) |
SR645 (7D2Y / 7D2X) |
SR665 (7D2W / 7D2V) |
SD530 V3 (7DDA / 7DD3) |
SD550 V3 (7DD9 / 7DD2) |
SR670 V2 (7Z22 / 7Z23) |
SR680a V3 (7DHE) |
||
| 4X67A84824 | ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU | 1 | N | 2 | 4 | N | N | N | 8 | 3 | 8 | N | N | N | N | 1 | 2 | 8 | N |
| Part Number | Description | SC | Dense V2 | 4S V2 | 8S | 4S V1 | 1S Intel V1 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SD665-N V3 (7DAZ) |
SD650 V3 (7D7M) |
SD650-I V3 (7D7L) |
SD650-N V3 (7D7N) |
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 | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| 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.
| Operating systems | ST650 V3 (4th Gen Xeon) |
SR860 V4 |
SR850 V4 |
SR650 V4/SR650a V4 |
SR630 V4 |
ST650 V3 (5th Gen Xeon) |
SD535 V3 |
SD550 V3 |
SD530 V3 |
SR650 V3 (5th Gen Xeon) |
SR630 V3 (4th Gen Xeon) |
SR630 V3 (5th Gen Xeon) |
SE455 V3 |
SE360 V2 |
SR675 V3 |
SR665 |
SR860 V3 |
SR850 V3 |
SR655 V3 |
SR650 V3 (4th Gen Xeon) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Microsoft Windows 10 | N | N | N | N | N | N | N | N | N | Y | N | N | N | N | N | N | N | N | Y | N |
| Microsoft Windows 11 | N | N | N | N | N | N | N | N | N | Y | Y | N | N | N | N | N | N | N | Y | N |
| Microsoft Windows Server 2016 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N |
| Microsoft Windows Server 2019 | Y | N | N | N | N | Y | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y 3 | Y 3 | Y | Y |
| Microsoft Windows Server 2022 | Y | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Microsoft Windows Server 2025 | Y | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 7.9 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y 2 | N | N | N | N |
| Red Hat Enterprise Linux 8.3 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N |
| Red Hat Enterprise Linux 8.4 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N |
| Red Hat Enterprise Linux 8.5 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N |
| Red Hat Enterprise Linux 8.6 | Y | N | N | N | N | N | N | N | N | N | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.7 | Y | N | N | N | N | N | N | N | N | N | Y | N | N | N | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.8 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.9 | Y | N | N | N | N | N | N | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.10 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.0 | Y | N | N | N | N | N | N | N | N | N | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.1 | Y | N | N | N | N | N | N | N | N | N | Y | N | N | N | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.2 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.3 | Y | N | N | N | N | N | N | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.4 | Y | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.5 | Y | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.6 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.7 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 10.0 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 10.1 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP3 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N |
| SUSE Linux Enterprise Server 15 SP4 | Y | N | N | N | N | N | N | N | N | N | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP5 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP6 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP7 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 16 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y |
| Ubuntu 18.04.5 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| Ubuntu 18.04.6 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| Ubuntu 20.04.5 LTS or later with HWE kernel | N | N | N | N | N | N | Y | N | N | N | N | N | Y | Y | Y | N | Y | Y | Y | N |
| Ubuntu 20.04 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| Ubuntu 22.04.2 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N | N | N | N |
| Ubuntu 22.04.3 LTS or later with HWE kernel | N | N | N | N | N | Y | Y | Y | Y | N | N | Y | N | N | N | N | N | N | N | N |
| Ubuntu 22.04.5 LTS or later with HWE kernel | N | N | N | Y | Y | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| Ubuntu 22.04 LTS or later with HWE kernel | Y | N | N | N | N | N | N | N | N | Y 1 | N | Y 1 | N | Y | Y | Y | Y | Y | Y | Y |
| Ubuntu 24.04 LTS or later with HWE kernel | Y | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 6.7 U3 | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N |
| VMware vSphere Hypervisor (ESXi) 7.0 U3 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 | N | N | N | N | N | N | N | N | N | N | Y | N | N | N | N | Y | N | N | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 U1 | Y | N | N | N | N | N | N | N | N | N | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 U2 | Y | N | N | N | N | Y | Y | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 U3 | Y | N | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 9.0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
1 Ubuntu 22.04.3 LTS/Ubuntu 22.04.4 LTS
2 The OS is not supported with EPYC 7003 processors.
3 For limitation, please refer Support Tip TT1591
| Operating systems | SR635 V3 |
SE350 |
SE450 |
ST650 V2 |
ST650 V2 |
SR670 V2 |
SR650 V2 |
SR630 V2 |
SR665 V3 |
SR645 V3 |
|---|---|---|---|---|---|---|---|---|---|---|
| Microsoft Windows 10 | Y | N | N | N | N | N | N | N | Y | Y |
| Microsoft Windows 11 | Y | N | N | N | N | N | N | N | Y | Y |
| Microsoft Windows Server 2016 | N | Y | N | Y | Y | Y | Y | Y | N | N |
| Microsoft Windows Server 2019 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Microsoft Windows Server 2022 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Microsoft Windows Server 2025 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 7.9 | N | Y | Y | Y | Y | Y | Y | Y | N | N |
| Red Hat Enterprise Linux 8.3 | N | Y | N | Y | Y | Y | Y | Y | N | N |
| Red Hat Enterprise Linux 8.4 | N | Y | Y | Y | Y | Y | Y | Y | N | N |
| Red Hat Enterprise Linux 8.5 | N | Y | Y | Y | Y | Y | Y | Y | N | N |
| Red Hat Enterprise Linux 8.6 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.7 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.8 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.9 | Y | N | N | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 8.10 | Y | N | Y | Y | Y | Y | Y | Y | Y | N |
| Red Hat Enterprise Linux 9.0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.1 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.2 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.3 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.4 | Y | N | Y | Y | Y | Y | Y | N | Y | Y |
| Red Hat Enterprise Linux 9.5 | Y | Y | Y | Y | Y | Y | Y | N | Y | Y |
| Red Hat Enterprise Linux 9.6 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 9.7 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 10.0 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Red Hat Enterprise Linux 10.1 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP3 | N | Y | N | Y | Y | Y | Y | Y | N | N |
| SUSE Linux Enterprise Server 15 SP4 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP5 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP6 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 15 SP7 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| SUSE Linux Enterprise Server 16 | Y | N | Y | N | N | N | Y | Y | Y | Y |
| Ubuntu 18.04.5 LTS or later with HWE kernel | N | N | N | Y | Y | Y | Y | Y | N | N |
| Ubuntu 18.04.6 LTS or later with HWE kernel | N | Y | Y | N | N | N | N | N | N | N |
| Ubuntu 20.04.5 LTS or later with HWE kernel | Y | Y | Y | N | N | N | N | N | Y | Y |
| Ubuntu 20.04 LTS or later with HWE kernel | N | N | N | N | N | N | Y | Y | N | N |
| Ubuntu 22.04.2 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | N | N |
| Ubuntu 22.04.3 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | N | N |
| Ubuntu 22.04.5 LTS or later with HWE kernel | N | N | N | N | N | N | N | N | Y | Y |
| Ubuntu 22.04 LTS or later with HWE kernel | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Ubuntu 24.04 LTS or later with HWE kernel | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 6.7 U3 | N | Y | N | Y | Y | Y | Y | Y | N | N |
| VMware vSphere Hypervisor (ESXi) 7.0 U3 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 U1 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 U2 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 8.0 U3 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
| VMware vSphere Hypervisor (ESXi) 9.0 | Y | N | Y | Y | Y | Y | Y | Y | Y | Y |
NVIDIA GPU software
This section lists the NVIDIA software that is available from Lenovo.
- NVIDIA vGPU Software (vApps, vPC, RTX vWS)
- NVIDIA Enterprise Software
- NVIDIA HPC Compiler Software
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.
| Part number | Feature code 7S02CTO1WW |
NVIDIA part number | Description |
|---|---|---|---|
| NVIDIA vApps offerings | |||
| 7S02005TWW | SEGS | 711-VAP001+P3CMI00 | vAPPS Perpetual License 1CCU + 5 Years SUMS 1CCU |
| 7S020046WW | SDHB | 711-VAP001+P3CMI00 | NVIDIA vApps Perpetual License, 1 CCU |
| 7S020003WW | B1MP | 712-VAP003+P3CMI60 | NVIDIA vApps SUMS ONLY 5Yr, 1 CCU |
| 7S020004WW | B1MQ | 711-VAP002+P3CMI12 | NVIDIA vApps Subscription License 1 Year, 1 CCU |
| 7S020005WW | B1MR | 711-VAP002+P3CMI36 | NVIDIA vApps Subscription License 3 Years, 1 CCU |
| 7S02003DWW | S832 | 711-VAP002+P3CMI48 | NVIDIA vApps Subscription License 4 Years, 1 CCU |
| 7S02003EWW | S833 | 711-VAP002+P3CMI60 | NVIDIA vApps Subscription License 5 Years, 1 CCU |
| NVIDIA vPC offerings | |||
| 7S02005UWW | SEGT | 711-VPC021+P3CMI00 | vPC Perpetual License 1CCU + 5 Years SUMS 1CCU |
| 7S020047WW | SDHC | 711-VPC021+P3CMI00 | NVIDIA vPC Perpetual License, 1 CCU |
| 7S020009WW | B1MV | 712-VPC003+P3CMI60 | NVIDIA vPC SUMS 5Yr ONLY, 1 CCU |
| 7S02000AWW | B1MW | 711-VPC022+P3CMI12 | NVIDIA vPC Subscription License 1 Year, 1 CCU |
| 7S02000BWW | B1MX | 711-VPC022+P3CMI36 | NVIDIA vPC Subscription License 3 Years, 1 CCU |
| 7S02003FWW | S834 | 711-VPC022+P3CMI48 | NVIDIA vPC Subscription License 4 Years, 1 CCU |
| 7S02003GWW | S835 | 711-VPC022+P3CMI60 | NVIDIA vPC Subscription License 5 Years, 1 CCU |
| NVIDIA RTX vWS offerings | |||
| 7S02005VWW | SEGU | 711-DWS021+P3CMI00 | vWS Perpetual License 1CCU + 5 Years SUMS 1CCU |
| 7S02005WWW | SEGV | 711-DWS021+P3EDI00 | vWS EDU Perpetual License 1CCU + 5 Years EDU SUMS 1CCU |
| 7S020048WW | SDHD | 711-DWS021+P3CMI00 | NVIDIA RTX vWS Perpetual License, 1 CCU |
| 7S02000FWW | B1N1 | 712-DWS003+P3CMI60 | NVIDIA RTX vWS SUMS ONLY 5Yr, 1 CCU |
| 7S020049WW | SDHE | 711-DWS021+P3EDI00 | NVIDIA RTX vWS EDU Perpetual License, 1 CCU |
| 7S02000LWW | B1N6 | 712-DWS003+P3EDI60 | NVIDIA RTX vWS EDU SUMS ONLY 5Y, 1CCU |
| 7S02000GWW | B1N2 | 711-DWS022+P3CMI12 | NVIDIA RTX vWS Subsc Lic 1Yr 1 CCU |
| 7S02000HWW | B1N3 | 711-DWS022+P3CMI36 | NVIDIA RTX vWS Subscription License 3 Years, 1 CCU |
| 7S02000XWW | S6YJ | 711-DWS022+P3CMI48 | NVIDIA RTX vWS Subscription License 4 Years, 1 CCU |
| 7S02000YWW | S6YK | 711-DWS022+P3CMI60 | NVIDIA RTX vWS Subscription License 5 Years, 1 CCU |
| 7S02000MWW | B1N7 | 711-DWS022+P3EDI12 | NVIDIA RTX vWS EDU Subscription License 1 Year, 1 CCU |
| 7S02000NWW | B1N8 | 711-DWS022+P3EDI36 | NVIDIA RTX vWS EDU Subscription License 3 Years, 1 CCU |
| 7S02003BWW | S830 | 711-DWS022+P3EDI48 | NVIDIA RTX vWS EDU Subscription License 4 Years, 1 CCU |
| 7S02003CWW | S831 | 711-DWS022+P3EDI60 | NVIDIA RTX vWS EDU Subscription License 5 Years, 1 CCU |
| NVIDIA RTX vWS Support & Services | |||
| 7S020015WW | S6YS | 712-DWSA24+P3CMI12 | 24X7 Support Services for NVIDIA RTX vWS Production SUMS, 1CCU, 1 Year |
| 7S02005CWW | SDZB | 712-DWSA24+P3CMI60 | 24X7 Support Services for NVIDIA RTX vWS Production SUMS 1CCU 5 Years |
| 7S020016WW | S6YT | 712-DWSA24+P3EDI12 | 24X7 Support Services for NVIDIA RTX vWS Production SUMS, 1CCU, EDU, 1 Year |
| 7S02005DWW | SDZC | 712-DWSA24+P3EDI60 | 24X7 Support Services for NVIDIA RTX vWS Production SUMS 1CCU EDU 5 Years |
| 7S02005EWW | SDZD | 712-DWSB24+P3CMI12 | 24X7 Support Services for NVIDIA RTX vWS SUMS 4 CCU 1 Year |
| 7S020017WW | S6YU | 712-DWSD24+P3CMI12 | 24X7 Support Services for NVIDIA RTX vWS Subscription License, 1CCU, 1 Year |
NVIDIA Enterprise Software
Lenovo offers the NVIDIA Enterprise cloud-native enterprise software, comprised of NVIDIA AI Enterprise (NVAIE) and NVIDIA Omniverse Enterprise. NVIDIA 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 Enterprise is licensed on a per-GPU basis. NVIDIA 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 Enterprise software indefinitely, with no expiration. NVIDIA 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 Enterprise software products with subscription includes support services for the duration of the software’s subscription license
The following table lists NVIDIA Enterprise license part numbers and feature codes.
For more information, see the NVIDIA Enterprise Sizing Guide.
| Part number | Feature code 7S02CTO1WW |
Description | NVIDIA part number |
|---|---|---|---|
| AI Enterprise Perpetual License | |||
| 7S02001BWW | S6YY | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Perpetual License & Support per GPU, 5 Years | 731-AI7004+P3CMI60 |
| 7S02001EWW | S6Z1 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Perpetual License & Support per GPU, EDU, 5 Years | 731-AI7004+P3EDI60 |
| AI Enterprise Subscription License | |||
| 7S02001FWW | S6Z2 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 1 Year | 731-AI7003+P3CMI12 |
| 7S02005XWW | SENY | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 2 Years | 731-AI7003+P3CMI24 |
| 7S02001GWW | S6Z3 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 3 Year | 731-AI7003+P3CMI36 |
| 7S02005YWW | SENZ | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 4 Years | 731-AI7003+P3CMI48 |
| 7S02001HWW | S6Z4 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, 5 Year | 731-AI7003+P3CMI60 |
| 7S02001JWW | S6Z5 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 1 Year | 731-AI7003+P3EDI12 |
| 7S02005ZWW | SEP0 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 2 Years | 731-AI7003+P3EDI24 |
| 7S02001KWW | S6Z6 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 3 Year | 731-AI7003+P3EDI36 |
| 7S020060WW | SEP1 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 4 Years | 731-AI7003+P3EDI48 |
| 7S02001LWW | S6Z7 | NVIDIA Enterprise (NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise) Subscription per GPU, EDU, 5 Year | 731-AI7003+P3EDI60 |
| Business Critical Support Services for NVIDIA Enterprise | |||
| 7S02001MWW | S6Z8 | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 1 Year | 731-AI7007+P3CMI12 |
| 7S02001NWW | S6Z9 | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 3 Year | 731-AI7007+P3CMI36 |
| 7S020061WW | SEP2 | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 4 Years | 731-AI7007+P3CMI48 |
| 7S02001PWW | S6ZA | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, 5 Year | 731-AI7007+P3CMI60 |
| 7S02001QWW | S6ZB | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 1 Year | 731-AI7007+P3EDI12 |
| 7S02001RWW | S6ZC | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 3 Year | 731-AI7007+P3EDI36 |
| 7S020062WW | SEP3 | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 4 Years | 731-AI7007+P3EDI48 |
| 7S02001SWW | S6ZD | Business Critical Support Services for NVIDIA Enterprise (NVIDIA AI Enterprise and Omniverse Enterprise) per GPU, EDU, 5 Year | 731-AI7007+P3EDI60 |
NVIDIA HPC Compiler Software
| 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.
-
Think AI Weekly: Accelerating your Server Sales with the RTX Pro 6000
2026-03-10 | 29 minutes | Employees Only
DetailsThink AI Weekly: Accelerating your Server Sales with the RTX Pro 6000
Join this session as Simone Larsson, Head of Enterprise AI, EMEA, Lenovo and Jason Knudsen, GAM, Global Sales and Channel for Lenovo with NVIDIA as they talk about the RTX Pro 6000.
Published: 2026-03-10
Topics include:
Market trends
Why the RTX Pro 6000 matters
Lenovo GTM details
Length: 29 minutes
Course code: DTAIW165Start the training:
Employee link: Grow@Lenovo
-
Edge VTT - NVIDIA Robotics Platform
2026-01-08 | 67 minutes | Employees Only
DetailsEdge VTT - NVIDIA Robotics Platform
In this session we feature speakers from both NVIDIA and Lenovo. Attendees will learn about NVIDIA’s platform stack for Robotics and what Lenovo is doing in the field of robotics.
Published: 2026-01-08
During this session we will dive into NVIDIA’s three-computer stack for Physical AI. Our speaker will explore libraries and workflows to develop, train, simulate, deploy, operate, and optimize AI robot systems and software. This session will cover the basics of the technical platform, how to get started and case studies from some NVIDIA's ecosystem.
Objectives:
Discuss acceleration libraries
Describe simulation workflows
List foundational models for robotics
Tags: Artificial Intelligence (AI), Sales, Software Platforms, Technical Sales
Length: 67 minutes
Course code: DVEDG223Start the training:
Employee link: Grow@Lenovo
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Lenovo VTT Cloud Architecture: Empowering AI Innovation with NVIDIA RTX Pro 6000 and Lenovo Hybrid AI Services
2025-09-18 | 68 minutes | Employees Only
DetailsLenovo VTT Cloud Architecture: Empowering AI Innovation with NVIDIA RTX Pro 6000 and Lenovo Hybrid AI Services
Join Dinesh Tripathi, Lenovo Technical Team Lead for GenAI and Jose Carlos Huescas, Lenovo HPC & AI Product Manager for an in-depth, interactive technical webinar. This session will explore how to effectively position the NVIDIA RTX PRO 6000 Blackwell Server Edition in AI and visualization workflows, with a focus on real-world applications and customer value.
Published: 2025-09-18
We’ll cover:
- NVIDIA RTX PRO 6000 Blackwell Overview: Key specs, performance benchmarks, and use cases in AI, rendering, and simulation.
- Positioning Strategy: How to align NVIDIA RTX PRO 6000 with customer needs across industries like healthcare, manufacturing, and media.
- Lenovo Hybrid AI 285 Services: Dive into Lenovo’s Hybrid AI 285 architecture and learn how it supports scalable AI deployments from edge to cloud.
Whether you're enabling AI solutions or guiding customers through infrastructure decisions, this session will equip you with the insights and tools to drive impactful conversations.
Tags: Industry solutions, SMB, Services, Technical Sales, Technology solutions
Length: 68 minutes
Course code: DVCLD227Start the training:
Employee link: Grow@Lenovo
-
Think AI Weekly: ISG & SSG Better Together: Uniting AI Solutions & Services for Smarter Outcomes
2025-08-01 | 55 minutes | Employees Only
DetailsThink AI Weekly: ISG & SSG Better Together: Uniting AI Solutions & Services for Smarter Outcomes
View this session to hear from our speakers Allen Holmes, AI Technologist, ISG and Balaji Subramaniam, AI Regional Leader-Americas, SSG.
Published: 2025-08-01
Topics include:
• An overview of ISG & SSG AI CoE Offerings with Customer Case Studies
• The Enterprise AI Deal Engagement Flow with ISG and SSG
• How sellers can leverage this partnership to differentiate with Enterprise clients.
• NEW COURSE: From Inception to Execution: Evolution of an AI Deal
Tags: Artificial Intelligence (AI), Sales, Services, Technology Solutions, TruScale Infrastructure as a Service
Length: 55 minutes
Course code: DTAIW145Start the training:
Employee link: Grow@Lenovo
-
Think AI Weekly: Third-Party Due Diligence Requirements for GPU Opportunities
2025-07-24 | 46 minutes | Employees Only
DetailsThink AI Weekly: Third-Party Due Diligence Requirements for GPU Opportunities
View this session to hear from Tanya Roychowdhury, Legal Counsel Director and Andrea Fazio, Third-party Due Diligence Project Manager as the explain:
Published: 2025-07-24
- What are the requirements?
- Why are they important?
- What this means to sales
Tags: Artificial Intelligence (AI), DataCenter Products, NVIDIA, Sales, Technical Sales
Length: 46 minutes
Course code: DTAIW143Start the training:
Employee link: Grow@Lenovo
-
ThinkSystem Supercomputing Servers Powered by NVIDIA
2025-06-27 | 30 minutes | Employees and Partners
DetailsThinkSystem Supercomputing Servers Powered by NVIDIA
This course offers you information about the Lenovo SC777 V4 Neptune server, the first Lenovo server to use an Arm processor from NVIDIA. By the end of this course, you’ll be able to list three features of the ThinkSystem SC777 V4 Neptune server, list three features of the ThinkSystem N1380 Neptune enclosure, describe two customer benefits of the ThinkSystem SC777 V4 Neptune server, and list four workload environments to which the SC777 V4 server is well suited.
Published: 2025-06-27
Tags: DataCenter Products, NVIDIA, ThinkSystem
Length: 30 minutes
Course code: SXXW2545Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo 360 Learning Center
-
VTT AI: NVIDIA and Lenovo: Data Center Platform Overview
2025-06-10 | 77 minutes | Employees Only
DetailsVTT AI: NVIDIA and Lenovo: Data Center Platform Overview
Please join this session to hear Steve Stein, Senior Product Marketing Manager, NVIDIA and Naman Malhotra, Senior Product Manager, Lenovo as they present these topics:
Published: 2025-06-10
•NVIDIA Accelerated Computing Portfolio
•Use Cases and Positioning
•Lenovo Platforms and Solutions
Tags: Artificial Intelligence (AI), Nvidia, Server
Length: 77 minutes
Course code: DVAI216Start the training:
Employee link: Grow@Lenovo
-
VTT AI: Introducing the Lenovo Hybrid AI 285 Platform April 2025
2025-04-30 | 60 minutes | Employees Only
DetailsVTT AI: Introducing the Lenovo Hybrid AI 285 Platform April 2025
The Lenovo Hybrid AI 285 Platform enables enterprises of all sizes to quickly deploy AI infrastructures supporting use cases as either new greenfield environments or as an extension to current infrastructures. The 285 Platform enables the use of the NVIDIA AI Enterprise software stack. The AI Hybrid 285 platform is the perfect foundation supporting Lenovo Validated Designs.
Published: 2025-04-30
• Technical overview of the Hybrid AI 285 platform
• AI Hybrid platforms as infrastructure frameworks for LVDs addressing data center-based AI solutions.
• Accelerate AI adoption and reduce deployment risks
Tags: Artificial Intelligence (AI), Nvidia, Technical Sales, Lenovo Hybrid AI 285
Length: 60 minutes
Course code: DVAI215Start the training:
Employee link: Grow@Lenovo
-
Lenovo Cloud Architecture VTT: Supercharge Your Enterprise AI with NVIDIA AI Enterprise on Lenovo Hybrid AI Platform
2025-04-17 | 75 minutes | Employees and Partners
DetailsLenovo Cloud Architecture VTT: Supercharge Your Enterprise AI with NVIDIA AI Enterprise on Lenovo Hybrid AI Platform
Join us for an in-depth webinar with Justin King, Principal Product Marketing Manager for Enterprise AI exploring the power of NVIDIA AI Enterprise, delivering Generative and Agentic AI outcomes deployed with Lenovo Hybrid AI platform environments.
Published: 2025-04-17
In today’s data-driven landscape, AI is evolving at high speed, with new techniques delivering more accurate responses. Enterprises are seeking not just an understanding but also how they can achieve AI-driven business outcomes.
With this, the demand for secure, scalable, and high-performing AI operations-and the skills to deliver them-is top of mind for many. Learn how NVIDIA AI Enterprise, a comprehensive software suite optimized for NVIDIA GPUs, provides the tools and frameworks, including NVIDIA NIM, NeMo, and Blueprints, to accelerate AI development and deployment while reducing risk-all within the control and security of your Lenovo customer’s hybrid AI environment.
Tags: Artificial Intelligence (AI), Cloud, Data Management, Nvidia, Technical Sales
Length: 75 minutes
Course code: DVCLD221Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo 360 Learning Center
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AI VTT: GTC Update and The Lenovo LLM Sizing Guide
2025-03-12 | 86 minutes | Employees Only
DetailsAI VTT: GTC Update and The Lenovo LLM Sizing Guide
Please view this session that is two parts. Part one is Robert Daigle, Director, Global AI Solutions and Hande Sahin-Bahceci, AI Solutions Marketing Leader explaining the upcoming announcements for NVIDIA GTC. Part Two is Sachin Wani, AI Data Scientist explaining the Lenovo LLM Sizing Guide with these topics:
Published: 2025-03-12
• Minimum GPU requirements for fine-tuning/training and inference
• Gathering requirements for the customer's use case
• LLMs from a technical perspective
Tags: Artificial Intelligence (AI), Technical Sales
Length: 86 minutes
Course code: DVAI214Start the training:
Employee link: Grow@Lenovo
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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 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
Tags: Artificial Intelligence (AI), Services, TruScale
Length: 6 minutes
Course code: SXXW2543aStart the training:
Employee link: Grow@Lenovo
Partner link: Lenovo 360 Learning Center
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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 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.
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
Tags: Artificial Intelligence (AI), Nvidia, Sales, Technical Sales, ThinkSystem
Length: 38 minutes
Course code: DVAI206Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo 360 Learning Center
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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 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
Tags: Artificial Intelligence (AI), Nvidia
Length: 25 minutes
Course code: DNVIS102Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo 360 Learning Center
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Think AI Weekly: Lenovo AI PCs & AI Workstations
2024-05-23 | 60 minutes | Employees Only
DetailsThink 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
Tags: Artificial Intelligence (AI), ThinkStation
Length: 60 minutes
Course code: DTAIW105Start the training:
Employee link: Grow@Lenovo
Related product families
Product families related to this document are the following:
- GPU adapters
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