Top
Author
Updated
14 Nov 2024Form Number
LP0768PDF size
47 pages, 351 KBSubscribed to LP0768.
Thank you for your feedback.
Download PDF
* Only available in selected markets
Table of Contents
- Introduction
- Part numbers
- ThinkSystem server support
- Lenovo EveryScale support
- ThinkAgile HX support
- ThinkAgile VX support
- ThinkAgile MX support
- NVIDIA software
- NVIDIA-Certified Systems
- AMD Instinct MI300X GPU
- AMD Instinct MI210 Accelerator
- AMD Radeon Instinct MI25 GPU
- AMD Radeon Pro V340 GPU
- Intel Max Series 1550 GPU
- Intel Flex 140 GPU
- Intel Flex 170 GPU
- NVIDIA H200 GPU
- NVIDIA H100 and and H100 NVL GPUs
- NVIDIA H800 and and H800 NVL GPUs
- NVIDIA H100 SXM5 GPU Board
- NVIDIA L40S GPU
- NVIDIA L40 GPU
- NVIDIA L4 GPU
- NVIDIA A100 GPU
- NVIDIA HGX A100 4-GPU Board
- NVIDIA A800 GPU
- NVIDIA A40 GPU
- NVIDIA A30 GPU
- NVIDIA A16 GPU
- NVIDIA A10 GPU
- NVIDIA A2 GPU
- NVIDIA RTX 6000 Ada GPU
- NVIDIA RTX A6000 GPU
- NVIDIA RTX 4500 Ada
- NVIDIA RTX A4500 GPU
- NVIDIA RTX A2000 GPU
- NVIDIA T1000 GPU
- NVIDIA T400 GPU
- NVIDIA T4 GPU
- NVIDIA Quadro RTX 8000 GPU
- NVIDIA Quadro RTX 6000 GPU
- NVIDIA Quadro RTX 5000 GPU
- NVIDIA Quadro RTX 4000 GPU
- NVIDIA Tesla V100S GPU
- NVIDIA Tesla V100 GPU
- NVIDIA Tesla V100 FHHL GPU
- NVIDIA Quadro P6000 GPU
- NVIDIA Quadro P4000 GPU
- NVIDIA Quadro P2200 GPU
- NVIDIA Quadro P2000 GPU
- NVIDIA Quadro P620 GPU
- NVIDIA Quadro P600 GPU
- NVIDIA Tesla P100 GPU
- NVIDIA Tesla P40 GPU
- NVIDIA Tesla P4 GPU
- NVIDIA Tesla M60 GPU
- NVIDIA Tesla M10 GPU
- Qualcomm Cloud AI 100 Accelerator
- Seller Training Courses
- Related product families
- Trademarks
Abstract
Lenovo ThinkSystem servers support GPU technology to accelerate different computing workloads, maximize performance for graphic design, virtualization, artificial intelligence and high performance computing applications in Lenovo servers. This document summarizes the features of the GPUs available for supported ThinkSystem servers and ThinkAgile HX, VX and MX systems.
Change History
Changes in the November 14, 2024 update:
- Added the following double-wide PCIe GPU:
- ThinkSystem NVIDIA H200 NVL 141GB PCIe GPU Gen5 Passive GPU, C3V3
- Added missing NVIDIA part numbers for NVIDIA software:
Introduction
Lenovo ThinkSystem servers support GPU technology to accelerate different computing workloads, maximize performance for graphic design, virtualization, artificial intelligence and high performance computing applications in Lenovo servers. This document summarizes the features of the GPUs available for supported ThinkSystem servers and ThinkAgile HX, VX and MX systems.
Figure 1. ThinkSystem NVIDIA H100 80GB PCIe Gen5 Passive GPU
The following table shows GPUs families and the target workloads
| Form factor | NVIDIA AI and Virtualization | Intel AI and Virtualization | AMD AI and Virtualization | Qualcomm AI and Virtualization | NVIDIA 3D Graphics |
|---|---|---|---|---|---|
| SXM/ OAM | H200 SXM5 H100 SXM5 H200 SXM5 A100 SXM |
Max Series 1550 Max Series 1350 |
Instinct MI300X | ||
| Dual slot |
H100 & H100 NVL |
Instinct MI210 Radeon Pro V340 Instinct MI25 |
A40 |
||
| Single slot | Tesla V100 FHFL L4 A10 A2 T4 Tesla P4 |
Flex 140 Flex 170 |
Cloud AI 100 | Quadro RTX 4000 T1000 T400 Quadro P4000 Quadro P2200 Quadro P2000 Quadro P620 Quadro P600 |
Part numbers
The following tables list the ordering information for GPUs and accelerators available from Lenovo:
In the Controlled GPU column, if a GPU is listed as Controlled, that means the GPU is not offered in certain markets, as determined by the US Government. If a GPU is listed as No, that means the GPU is not controlled and is available in all markets.
ThinkSystem server support
The following tables list the ThinkSystem servers that are compatible.
- Windows does not support more than 16 displays attached to the server
- Contains 8 separate GPUs connected via high-speed interconnects
- Contains 4 separate GPUs connected via high-speed interconnects
- Double-wide GPUs are only supported in the SE450 with the 360mm chassis; not supported in the 300mm chassis
- DisplayPort ports not supported and are disabled
- Contains 4 separate GPUs connected via high-speed interconnects
- Supported only with EPYC 7003 "Milan" processors. Not supported with EPYC 7002 "Rome" processors
- For SR665 systems with AMD EPYC 7003 "Milan" processors, the A100 is supported in either factory orders (CTO) or field upgrades. For SR665 systems with AMD EPYC 7002 "Rome" processors, the A100 is only supported under Special Bid conditions and is not supported as a field upgrade. Requires the refreshed system board.
- Only available via Lenovo Scalable Infrastructure (LeSI). Select "AI & HPC – LeSI Solutions" in the DCSC configurator. See the LeSI product guide for details.
- DisplayPort ports not supported and are disabled
- The SR650 has support for 5x T4 or 5x P4 GPUs in servers with second-generation Intel Xeon Scalable processors only. SR650 systems originally with first-generation processors have support for up to 4x T4 or 2x P4 GPUs.
- DisplayPort ports not supported and are disabled.
- Only available via Lenovo Scalable Infrastructure (LeSI). Select "AI & HPC – LeSI Solutions" in the DCSC configurator. See the LeSI product guide for details.
- Special Bid only
Lenovo EveryScale support
The following table lists the GPU support for the Lenovo EveryScale program (formerly LeSI).
For details about EveryScale, see the Lenovo EveryScale product guide.
Note: The support listed in this table is only via the EveryScale program, and requires you use one of the specific EveryScale CTO models as listed in the product guide.
ThinkAgile HX support
The following tables summarize the ThinkAgile HX appliance and certified node support for the GPUs. The numbers listed in the server columns represent the number of GPUs supported.
* These GPUs are only supported in HX appliances and certified nodes with second-generation Intel Xeon Scalable processors.
In the Controlled GPU column, if a GPU is listed as Controlled, that means the GPU is not offered in certain markets, as determined by the US Government. If a GPU is listed as No, that means the GPU is not controlled and is available in all markets. See Part Numbers
ThinkAgile VX support
The following tables summarize the ThinkAgile VX appliance and certified node support for the GPUs. The numbers listed in the server columns represent the number of GPUs supported.
* The VX3520-G and VX 2U Certified Node have support for five T4 GPUs in servers with second-generation Intel Xeon Scalable processors only. Servers originally with first-generation processors have support for up to three T4 GPUs.
In the Controlled GPU column, if a GPU is listed as Controlled, that means the GPU is not offered in certain markets, as determined by the US Government. If a GPU is listed as No, that means the GPU is not controlled and is available in all markets. See Part Numbers
ThinkAgile MX support
The following tables summarize the ThinkAgile MX appliance and certified node support for the GPUs. The numbers listed in the server columns represent the number of GPUs supported.
In the Controlled GPU column, if a GPU is listed as Controlled, that means the GPU is not offered in certain markets, as determined by the US Government. If a GPU is listed as No, that means the GPU is not controlled and is available in all markets. See Part Numbers
NVIDIA software
This section lists the NVIDIA software that is available from Lenovo.
Software support overview
The following table lists which software each NVIDIA GPU supports.
| NVIDIA GPU | NVIDIA vGPU Software Support page |
NVIDIA Omniverse Software (OVE) | NVIDIA AI Enterprise Software (NVAIE) Support page |
NVIDIA HPC Compiler |
|---|---|---|---|---|
| NVIDIA H200 | No | No | Supported | Supported |
| NVIDIA H100 80GB PCIe Gen5 Passive GPU | No | No | Supported | Supported |
| NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU | No | No | Supported | Supported |
| NVIDIA L40 48GB PCIe Gen4 Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA L40S 48GB PCIe Gen4 Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA A100 80GB PCIe Gen4 Passive GPU | No | No | Supported | Supported |
| NVIDIA A30 24GB PCIe Gen4 Passive GPU | No | No | Supported | Supported |
| NVIDIA A16 64GB Gen4 PCIe Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA L4 24GB PCIe Gen4 Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA A10 24GB PCIe Gen4 Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA A2 16GB PCIe Gen4 Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA T4 16GB PCIe Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA A40 48GB PCIe Gen4 Passive GPU | Supported | Supported | Supported | Supported |
| NVIDIA RTX A2000 12GB PCIe Active GPU | No | No | No | Supported |
| NVIDIA RTX A4500 20GB PCIe Active GPU | No | No | No | Supported |
| NVIDIA RTX 6000 Ada 48GB PCIe Active GPU | Supported | Supported | Supported | Supported |
| NVIDIA RTX A6000 48GB PCIe Active GPU | Supported | Supported | Supported | Supported |
| NVIDIA T1000 8GB PCIe Active GPU | No | No | No | Supported |
| NVIDIA T400 4GB PCIe Active GPU | No | No | No | Supported |
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
NVIDIA-Certified Systems
NVIDIA-Certified Systems create the essential platform for the evolution of enterprise data centers, delivering the necessary infrastructure for running a diverse range of accelerated workloads. The certification test suite is designed to exercise the performance and functionality of the configured server by running a set of software that represents a wide range of real-world applications. This includes deep learning training, AI inference, end-to-end AI frameworks including NVIDIA Riva and NVIDIA Clara™, data science including Spark, intelligent video analytics (IVA), high-performance computing (HPC) and CUDA functions, and rendering. It also covers infrastructure performance acceleration such as network and storage offload, security features, and remote management capabilities. The certification covers compute-oriented and general-purpose data center servers as well as edge servers and workstations.
To see the list of certified systems, go to the NVIDIA Certified Systems Catalog.
In addition to supporting hundreds of commercial applications, NVIDIA-Certified Systems enable enterprises to easily deploy software solutions from NVIDIA and partners for AI, Data Analytics, Visualization, and more. They also provide the best foundation for enterprise solutions such as NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise.
To learn more, download the Lenovo NVIDIA-Certified datasheet.
AMD Instinct MI300X GPU
For details on this GPU board, see the separate AMD MI300X product guide:
https://lenovopress.lenovo.com/lp1943-thinksystem-amd-mi300x-192gb-750w-8-gpu-board
AMD Instinct MI210 Accelerator
For details on this GPU, see the separate AMD MI210 product guide:
https://lenovopress.lenovo.com/lp1862-amd-instinct-mi210-accelerator
AMD Radeon Instinct MI25 GPU
The Radeon Instinct MI25 accelerator, designed with the most advanced Next-Gen “Vega” GPU architecture, is the ultimate training accelerator for large scale machine intelligence and deep learning, along with being an optimized open compute workhorse for single-precision HPC-class system workloads.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The MI25 delivers leadership in FP16 and FP32 performance in a passively-cooled single GPU server card with 24.6 TFLOPS of FP16 and 12.3 TFLOPS of FP32 peak performance through its 64 compute units with 4,096 stream processors.
The Radeon Instinct MI25’s powerful compute engine and advanced memory architecture, combined with AMD’s ROCm open software platform and ecosystem, provides a powerful, flexible heterogeneous compute solution that allows datacenter designers to meet the challenges of a new era of compute and Machine Intelligence.
Figure 2. AMD Radeon Instinct MI25 GPU
Technical specifications
The following table lists the specifications of the AMD Radeon Instinct MI25 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following tables list the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
Auxiliary power cables
The MI25 option part number 7C57A02897 ships with three auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
* The SR860 server does not support the MI25 GPU even though this cable is included in part 7C57A02897
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
The MI25 option part number for SR670, 4C57A16224, ships with one auxiliary power cable. This cable is needed when the GPU is installed in the SR670 and is used in conjunction with the Cage 1 and Cage 2 power cables that are included with the SR670.
* This cable is also available as a separate option part number for customers that buy the MI25 directly from AMD and wish to use the adapter in the SR670 server.
AMD Radeon Pro V340 GPU
The AMD Radeon Pro V340 datacenter graphics card delivers an impressively smooth GPU experience from the cloud to virtually any device, anywhere. With MxGPU technology at its core, this hardware-based virtualized graphics solution provides high levels of predictable performance, enhanced security and support for up to 32 VMs per card. This MxGPU solution is easy to set up and manage, and does not require end user licenses, providing enterprises with a lower cost per user.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The AMD Radeon Pro V340 delivers a smooth GPU experience to every virtual application and desktop. It is a dual GPU card that is purpose-built to deliver extreme performance along with maximum user density for virtualized graphics, delivered from on-premise VDI environments or from the cloud. Based on AMD’s MxGPU (Multiuser) technology, the Radeon Pro V340 gives every VM the benefits of having a high performance graphics card, giving users the visual experience they expect without having an actual GPU in their system.
Figure 3. ThinkSystem AMD Radeon Pro V340 GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 4C57A09497 | B32P | ThinkSystem AMD Radeon Pro V340 32GB PCIe Passive GPU |
Technical specifications
The following table lists the specifications of the AMD Radeon Pro V340 GPU.
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.
Auxiliary power cables
The V340 option part number ships with two auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from AMD, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
Intel Max Series 1550 GPU
The Intel Max Series 1550 GPU is supported in the ThinkSystem SD650-I V3 server. For details on the GPU, see the server product guide:
https://lenovopress.lenovo.com/lp1602-thinksystem-sd650-i-v3-server#gpu-accelerators
Intel Flex 140 GPU
For details on this GPU, see the separate Intel Flex 140 product guide:
https://lenovopress.lenovo.com/lp1830-thinksystem-intel-flex-140-12gb-gen4-passive-gpu
Intel Flex 170 GPU
For details on this GPU, see the separate Intel Flex 170 product guide:
https://lenovopress.lenovo.com/lp1829-thinksystem-intel-flex-170-16gb-gen4-passive-gpu
NVIDIA H200 GPU
For details on the H200 GPUs, see the separate NVIDIA H200 GPU product guide:
https://lenovopress.lenovo.com/lp1944-nvidia-hgx-h200-141gb-gpu
NVIDIA H100 and and H100 NVL GPUs
For details on these GPUs, see the separate NVIDIA H100 product guide:
https://lenovopress.lenovo.com/lp1732-thinksystem-nvidia-h100-80gb-pcie-gen5-passive-gpu
NVIDIA H800 and and H800 NVL GPUs
For details on these GPUs, see the separate NVIDIA H800 product guide:
https://lenovopress.lenovo.com/lp1814-thinksystem-nvidia-h800-80gb-pcie-gen5-passive-gpu
NVIDIA H100 SXM5 GPU Board
For details on this GPU, see the separate NVIDIA H100 product guide:
https://lenovopress.lenovo.com/lp1732-thinksystem-nvidia-h100-80gb-pcie-gen5-passive-gpu
NVIDIA L40S GPU
For details on this GPU, see the separate NVIDIA L40S product guide:
https://lenovopress.lenovo.com/lp1812-nvidia-l40s-48gb-pcie-gen4-passive-gpu
NVIDIA L40 GPU
For details on this GPU, see the separate NVIDIA L40 product guide:
https://lenovopress.lenovo.com/lp1718-nvidia-l40-48gb-pcie-gen4-passive-gpu
NVIDIA L4 GPU
For details on this GPU, see the separate NVIDIA L4 product guide:
https://lenovopress.lenovo.com/lp1717-thinksystem-nvidia-l4-24gb-pcie-gen4-passive-gpu
NVIDIA A100 GPU
For details on the A100 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1734-thinksystem-nvidia-a100-pcie-gpu
NVIDIA HGX A100 4-GPU Board
For details on this GPU, see the separate NVIDIA A100 product guide:
https://lenovopress.lenovo.com/lp1734-thinksystem-nvidia-a100-40gb-pcie-40-passive-gpu
NVIDIA A800 GPU
For details on the A800 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1813-thinksystem-nvidia-a800-pcie-gpu
NVIDIA A40 GPU
For details on the A40 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1773-thinksystem-nvidia-a40-48gb-pcie-gen4-passive-gpu
NVIDIA A30 GPU
For details on the A30 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1774-thinksystem-nvidia-a30-24gb-pcie-gen4-passive-gpu
NVIDIA A16 GPU
For details on the A16 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1815-thinksystem-nvidia-a16-64gb-gen4-pcie-passive-gpu
NVIDIA A10 GPU
For details on the A10 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1816-thinksystem-nvidia-a10-24gb-pcie-gen4-passive-gpu
NVIDIA A2 GPU
For details on the A2 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1817-thinksystem-nvidia-a2-16gb-pcie-gen4-passive-gpu
NVIDIA RTX 6000 Ada GPU
For details on the RTX 6000 Ada GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1940-thinksystem-nvidia-rtx-6000-ada-48gb-pcie-active-gpu
NVIDIA RTX A6000 GPU
For details on the RTX A6000 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1917-thinksystem-nvidia-rtx-a6000-48gb-pcie-active-gpu
NVIDIA RTX 4500 Ada
For details on the RTX 4500 Ada GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1997-nvidia-rtx-4500-ada-24gb-pcie-active-gpu
NVIDIA RTX A4500 GPU
For details on the RTX A4500 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1918-thinksystem-nvidia-rtx-a4500-20gb-pcie-active-gpu
NVIDIA RTX A2000 GPU
For details on the RTX A2000 GPU, see the separate product guide:
https://lenovopress.lenovo.com/lp1919-thinksystem-nvidia-rtx-a2000-12gb-pcie-active-gpu
NVIDIA T1000 GPU
For details on the T1000 GPU (formerly known as the Quadro RTX T1000), see the separate product guide:
https://lenovopress.lenovo.com/lp1924-thinksystem-nvidia-t1000-8gb-pcie-active-gpu
NVIDIA T400 GPU
For details on the T400 GPU (formerly known as the Quadro RTX T400), see the separate product guide:
https://lenovopress.lenovo.com/lp1925-thinksystem-nvidia-t400-4gb-pcie-active-gpu
NVIDIA T4 GPU
For details on the T4 GPU (formerly known as the Tesla T4), see the separate product guide:
https://lenovopress.lenovo.com/lp1926-thinksystem-nvidia-t4-16gb-pcie-passive-gpu
NVIDIA Quadro RTX 8000 GPU
Bring the power of RTX to the data center with the NVIDIA RTX 8000, and Virtual Data Center Workstation (vDWS) software, built on the NVIDIA Turing architecture and the NVIDIA RTX platform for powerful server-based visual computing solutions.
Accelerate multiple data center workloads including batch rendering, data science, virtual workstation, simulation, and augmented or virtual reality over 5G networks. Customers can also serve multiple powerful virtual workstations with vDWS software.
Introduction
NVIDIA RTX 8000 has 4,608 CUDA cores, 576 Tensor Cores, 72 RT Cores, and 48 GB of high-performance graphics memory, and delivers the best performance and the largest graphics memory for the most demanding visual computing tasks.
Figure 4. ThinkSystem NVIDIA RTX 8000 Passive GPU
* The NVIDIA RTX 8000 is available via Lenovo Scalable Infrastructure, LeSI. Select "AI & HPC – LeSI Solutions" in the DCSC configurator. See the LeSI product guide for details.
Technical specifications
The following table lists the specifications of the NVIDIA RTX 8000 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
- Special Bid only
Auxiliary power cables
The RTX 8000 option part number ships with one auxiliary power cables. This cable is needed when the GPU is installed in specific servers, as listed in the following table. For use in the SR670, cables ordered with the server are used instead of the cables included with the GPU.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Quadro RTX 6000 GPU
Bring the power of RTX to the data center with the NVIDIA Quadro RTX 6000 and Quadro Virtual Data Center Workstation (Quadro vDWS) software for powerful server-based visual computing solutions. The NVIDIA Quadro RTX 6000 is ideal for high-performance server-based visual computing workloads including rendering, data science, virtual workstation, simulation, and scientific visualization. The RTX 6000 is optimized for reliability in enterprise data centers and built for 24/7 server environments.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The Quadro RTX 6000 is equipped with 4,608 CUDA cores, 576 Tensor cores, 72 RT cores and 24GB GDDR6 memory. It can render complex models and scenes with physically accurate shadows, reflections, and refractions to empower users with instant insight.
Figure 5. ThinkSystem NVIDIA Quadro RTX 6000 Passive GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro RTX 6000 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following table lists the supported operating systems.
Tip: This table is automatically generated based on data from Lenovo ServerProven.
Auxiliary power cables
The RTX 6000 option part number ships with one auxiliary power cable. This cable is needed when the GPU is installed in the SR670 and is used in conjunction with the Cage 1 and Cage 2 power cables that are included with the SR670.
| Auxiliary power cables included with the RTX 6000 |
|
Note: This cable is used in conjunction with either SBB7A10375 or SBB7A10374. |
| Auxiliary power cables needed with the SR650 V2 |
|
* The option part numbers are for thermal kits and include other components needed to install the GPU. See the SR650 V2 product guide for details. |
| Auxiliary power cables supplied with the SR670 (configure-to-order) |
|
Notes:
|
|
Notes:
|
* This cable is also available as a separate option part number for customers that buy the RTX 6000 directly from NVIDIA and wish to use the GPU in the SR670 server.
NVIDIA Quadro RTX 5000 GPU
Shatter the boundaries of what’s possible with the NVIDIA Quadro RTX 5000, powered by NVIDIA Turing GPU to bring real-time ray tracing and accelerated AI to next-generation workflows. Creative and technical professionals can supercharge demanding design and visualization workloads and make more informed decisions faster than ever before.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The Quadro RTX 5000 is equipped with 3072 CUDA cores, 384 Tensor cores, 48 RT cores and 16GB GDDR6 memory. It can render complex models and scenes with physically accurate shadows, reflections, and refractions to empower users with instant insight.
Figure 6. ThinkSystem NVIDIA Quadro RTX 5000 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro RTX 5000 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following table lists the supported operating systems.
Tip: This table is automatically generated based on data from Lenovo ServerProven.
Auxiliary power cables
The RTX 5000 option part number ships with one auxiliary power cable. This cable is needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Quadro RTX 4000 GPU
Meet the challenge of today’s demanding professional workflows with NVIDIA Quadro RTX 4000, powered by NVIDIA Turing architecture and the NVIDIA RTX platform. The NVIDIA Quadro RTX 4000 delivers GPU accelerated ray tracing, deep learning, and advanced shading in an accessible single slot form factor. It gives designers the power to accelerate their creative efforts with faster time to insight and faster time to solution.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The Quadro RTX 4000 is equipped with 2304 CUDA cores, 288 Tensor Cores, 36 RT cores and 8 GB GDDR6 memory. The single-slot GPU is designed to manage the most intensive AEC, DCC, AI, VR and graphics workloads.
Figure 7. ThinkSystem NVIDIA Quadro RTX 4000 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro RTX 4000 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following table lists the supported operating systems.
Tip: This table is automatically generated based on data from Lenovo ServerProven.
Auxiliary power cables
The RTX 4000 option part number ships with three auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
| Auxiliary power cables included with the GPU option part number |
|
|
|
|
|
|
| Auxiliary power cables needed with the ST650 V2 |
|
320mm power cable for slots 1-4 660mm power cable for slots 5-8 * The option part number is for ThinkSystem ST650 V2 RTX 4000 GPU Power Cable Kit and includes both the 320mm and 660mm cables needed to install the GPU. See the ST650 V2 product guide for details. |
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Tesla V100S GPU
The NVIDIA V100S Tensor Core GPU is a powerful accelerator for deep learning, machine learning, high performance computing (HPC), and graphics. The V100S GPU offers improved performance over the V100, featuring a ~25% increase in memory bandwidth and higher FLOPS.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The NVIDIA Tesla V100S GPU Accelerator for PCIe is a dual-slot 10.5 inch PCI Express Gen3 card with a single NVIDIA Volta GV100 graphics processing unit (GPU), 32GB HBM2 memory with native ECC support. It uses a passive heat sink for cooling. The Tesla V100S GPU supports double precision (FP64), single precision (FP32) and half precision (FP16) compute tasks, unified virtual memory and page migration engine.
Figure 8. ThinkSystem NVIDIA Tesla V100S
Technical specifications
The following table lists the specifications of the NVIDIA Tesla V100S GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
- Only available via Lenovo Scalable Infrastructure (LeSI). Select "AI & HPC – LeSI Solutions" in the DCSC configurator. See the LeSI product guide for details.
Operating system support
The following table lists the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
1 ISG will not sell/preload this OS, but compatibility and cert only.
2 The OS is not supported with EPYC 7003 processors.
Auxiliary power cables
The V100S option part numbers ship with two auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table. The second cable listed, SBB7A16972, is needed when the GPU is installed in the SR670 and is used in conjunction with the Cage 1 and Cage 2 power cables that are included with the SR670.
The table also lists the additional cables needed when the GPU is installed in the SR670 and SR665 servers.
| Auxiliary power cables included with the GPU option part number |
|
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794 |
|
Note: This cable is used in conjunction with either SBB7A10375 or SBB7A10374 listed below. * This cable is also available as a separate option part number for customers that buy the V100S directly from NVIDIA and wish to use the GPU in the SR670 server. |
| Auxiliary power cables supplied with the SR655 (configure-to-order or field upgrade) |
|
|
|
|
| Auxiliary power cables supplied with the SR670 (configure-to-order) |
|
Notes:
|
|
Notes:
|
| Auxiliary power cables needed with the SR665 or SR650 V2 (configure-to-order or field upgrade) |
|
* The option part numbers are for thermal kits and include other components needed to install the GPU. See the SR665 product guide or SR650 V2 product guide for details. |
| Auxiliary power cables needed with the SR860 V2 (configure-to-order or field upgrade) |
|
|
NVIDIA Tesla V100 GPU
The NVIDIA V100 Tensor Core GPU is the world’s most powerful accelerator for deep learning, machine learning, high performance computing (HPC), and graphics. Powered by NVIDIA Volta, a single V100 Tensor Core GPU offers the performance of nearly 32 CPUs—enabling researchers to tackle challenges that were once unsolvable. The V100 won MLPerf, the first industry-wide AI benchmark, validating itself as the world’s most powerful, scalable, and versatile computing platform.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The NVIDIA Tesla V100 GPU Accelerator for PCIe is a dual-slot 10.5 inch PCI Express Gen3 card with a single NVIDIA Volta GV100 graphics processing unit (GPU), 16GB or 32GB HBM2 memory with native ECC support. It uses a passive heat sink for cooling. The Tesla V100 GPU supports double precision (FP64), single precision (FP32) and half precision (FP16) compute tasks, unified virtual memory and page migration engine.
Figure 9. ThinkSystem NVIDIA Tesla V100
Technical specifications
The following table lists the specifications of the NVIDIA Tesla V100 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following tables list the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
1 ISG will not sell/preload this OS, but compatibility and cert only.
2 The OS is not supported with EPYC 7003 processors.
1 ISG will not sell/preload this OS, but compatibility and cert only.
2 The OS is not supported with EPYC 7003 processors.
3 2000W PSU x2 and CPU power must less than 200W for NVIDIA V100
Auxiliary power cables
The V100 option part numbers ship with three auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table. For use in the SR670 and SR665, cables ordered with the server are used instead of the cables included with the GPU.
| Auxiliary power cables included with the GPU option part number |
|
|
|
|
|
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794 |
| Auxiliary power cables supplied with the SR655 (configure-to-order or field upgrade) |
|
|
|
|
| Auxiliary power cables supplied with the SR670 (configure-to-order) |
|
Notes:
|
|
Notes:
|
| Auxiliary power cables needed with the SR665 (configure-to-order or field upgrade) |
|
* The option part number is for the server thermal kit and includes other components needed to install the GPU. See the SR665 product guide for details. |
NVIDIA Tesla V100 FHHL GPU
The NVIDIA Tesla V100 FHHL GPU Accelerator is the latest NVIDIA Volta family product, targets for advanced data center to accelerate AI, HPC, and graphics. Tesla V100 FHHL offers significant performance and great power efficiency. The GPU is a full-height half-length (FHHL) form factor.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The NVIDIA Tesla V100 FHHL GPU Accelerator for PCIe is a single-slot, full-height half-length (FHHL) PCI Express Gen 3 card with NVIDIA Volta graphics processing unit, 16GB HBM2 memory with native ECC support. It uses a passive heat sink for cooling. The Tesla V100 FHHL PCIe supports double precision (FP64), single precision (FP32) and half precision (FP16) compute tasks, unified virtual memory and page migration engine.
Figure 10. NVIDIA Tesla V100 FHHL GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 4X67A11524 | B32D | ThinkSystem NVIDIA Tesla V100 FHHL GPU |
Technical specifications
The following table lists the specifications of the NVIDIA Tesla V100 FHHL GPU.
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.
Auxiliary power cables
The V100 FHHL option part number ships with one auxiliary power cable. The cable is needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Quadro P6000 GPU
ThinkSystem NVIDIA Quadro P6000 GPU cards are certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists. This gives you the peace of mind to focus on doing your best work. Whether you’re developing revolutionary products or telling spectacularly vivid visual stories, Quadro gives you the performance to do it brilliantly.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
ThinkSystem NVIDIA Quadro P6000 is the world’s most advanced professional graphics solution ever created, combining the latest GPU, memory and display technologies that result in unprecedented performance and breakthrough capabilities. Professionals across of range of industries can now create their most complex designs, solve the most challenging visualization problems and experience their creations within the most detailed, life-like VR environments.
Figure 11. ThinkSystem NVIDIA Quadro P6000 GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 7C57A02895 | AVRK, B2V5* | ThinkSystem NVIDIA Quadro P6000 PCIe Active GPU |
* Feature code varies by system
Technical specifications
The following table lists the specifications of the NVIDIA Quadro P6000 GPU.
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.
Auxiliary power cables
The P6000 option part number ships with two auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Quadro P4000 GPU
The NVIDIA Quadro P4000 is powered by NVIDIA Pascal, brings a whole new level of performance and innovative capabilities to visual computing on the desktop. Create revolutionary products. Design ground-breaking architecture. Run the most complex simulations. Tell spectacularly vivid stories in VR. The NVIDIA Quadro P4000 is certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The NVIDIA Quadro P4000 combines a 1792 CUDA core Pascal GPU, large 8 GB GDDR5 memory and advanced display technologies to deliver the performance and features that are required by demanding professional applications. The ability to create an expansive visual workspace of up to four 5K displays (5120x2880 @ 60Hz) with HDR color support lets you view your creations in stunning detail. The P4000 is specially designed with the performance that is necessary to drive immersive VR environments. Additionally, you can create massive digital signage solutions of up to thirty-two 4K displays per system by connecting multiple P4000s via Quadro Sync II2.
Figure 12. ThinkSystem NVIDIA Quadro P4000 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro P4000 GPU.
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.
Auxiliary power cables
The P4000 option part number ships with three auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Quadro P2200 GPU
ThinkSystem Quadro P2200 is the perfect balance of performance, compelling features, and compact form factor delivering incredible creative experience and productivity across a variety of professional 3D applications. The P2200 is a follow-on to the successful P2000 GPU.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
ThinkSystem Quadro P2200 features an Pascal GPU with 1280 CUDA cores, large 5 GB GDDR5X on-board memory, and the power to drive up to four 5K (5120x2880 @ 60Hz) displays natively. These features make is an excellent choice to help accelerate product development and content creation workflows with large scenes and models.
Figure 13. ThinkSystem NVIDIA Quadro P2200 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro P2200 GPU.
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 The OS is not supported with EPYC 7003 processors.
NVIDIA Quadro P2000 GPU
ThinkSystem Quadro P2000 is the perfect balance of performance, compelling features, and compact form factor delivering incredible creative experience and productivity across a variety of professional 3D applications.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
ThinkSystem Quadro P2000 features a Pascal GPU with 1024 CUDA cores, large 5 GB GDDR5 on-board memory, and the power to drive up to four 5K (5120x2880 @ 60Hz) displays natively. This makes it an excellent choice for accelerating product development and content creation workflows that demand fluid interactivity with large, complex 3D models and scenes.
Figure 14. ThinkSystem NVIDIA Quadro P2000 GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 7C57A02877 | B15N, AUW6* | ThinkSystem NVIDIA Quadro P2000 L1 BOM |
* Feature code varies by server
Technical specifications
The following table lists the specifications of the NVIDIA Quadro P2000 GPU.
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.
NVIDIA Quadro P620 GPU
The NVIDIA Quadro P620 is certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
The NVIDIA Quadro P620 workstation graphics board is powered by NVIDIA Pascal GPU technology and 2 GB of GDDR5 memory. The Quadro P620 graphics board is targeted for professional CAD, DCC and visualization designers, engineers and users. Get the budget friendly highest performing graphics board to drive today’s demanding professional workflows in a compact footprint. Flexible single-slot and low-profile form factor makes this card compatible with even the most space and power constrained workstation chassis.
Figure 15. ThinkSystem NVIDIA Quadro P620 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro P620 GPU.
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 The OS is not supported with EPYC 7003 processors.
2 ISG will not sell/preload this OS, but compatibility and cert only.
NVIDIA Quadro P600 GPU
The NVIDIA Quadro P600 is certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists.
Introduction
The NVIDIA Quadro P600 combines a 384 CUDA core Pascal GPU, large on-board memory and advanced display technologies to deliver amazing performance for a range of professional workflows. 2 GB of ultra-fast GPU memory enables the creation of complex 2D and 3D models and a flexible single-slot, low-profile form factor makes it compatible with more systems. Support for four 4K displays (4096x2160 @ 60Hz) with HDR color gives you an expansive visual workspace to view your creations in stunning detail.
Figure 16. ThinkSystem NVIDIA Quadro P600 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Quadro P600 GPU.
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.
NVIDIA Tesla P100 GPU
ThinkSystem NVIDIA Tesla P100 GPU accelerators are the world's first AI supercomputing data center GPUs. They tap into NVIDIA Pascal GPU architecture to deliver a unified platform for accelerating both HPC and AI. With higher performance and fewer, lightning-fast nodes, Tesla P100 enables data centers to dramatically increase throughput while also saving money.
Introduction
ThinkSystem NVIDIA Tesla P100 is a dual-slot 10.5 inch PCI Express Gen3 card with single NVIDIA Pascal GP100 graphics processing unit (GPU). It uses a passive heat sink for cooling. P100 is reimagined from silicon to software, crafted with innovation at every level. Each groundbreaking technology delivers a dramatic jump in performance to inspire the creation of the world's fastest compute node.
Figure 17. ThinkSystem NVIDIA Tesla P100 GPU
* Feature code varies by server
Technical specifications
The following table lists the specifications of the NVIDIA Tesla P100 GPU.
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.
NVIDIA Tesla P40 GPU
ThinkSystem NVIDIA Tesla P40 GPU accelerators are purpose-built to deliver maximum throughput for deep learning deployment. Tesla P40 is powered by the revolutionary NVIDIA Pascal architecture provide the computational engine for the new era of artificial intelligence, enabling amazing user experiences by accelerating deep learning applications at scale.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
ThinkSystem NVIDIA Tesla P40 is a dual-slot 10.5-inch PCIe 3.0 card based on a high-end NVIDIA Pascal graphics processing unit (GPU). It uses a passive heat sink for cooling. P40 has 24GB GDDR5 memory and a 250 W maximum power limit. With 47 TOPS (Tera-Operations Per Second) of inference performance and INT8 operations per GPU, a single server with 8 Tesla P40s delivers the performance of over 140 CPU servers.
Figure 18. ThinkSystem NVIDIA Tesla P40 GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 7C57A02888 | AVNZ, B0LZ, B15U* | ThinkSystem NVIDIA Tesla P40 |
* Feature code varies by server
Technical specifications
The following table lists the specifications of the NVIDIA Tesla P40 GPU.
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.
Auxiliary power cables
The P40 option part numbers ship with two auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table. For use in the SR670, cables ordered with the server are used instead of the cables included with the GPU.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Tesla P4 GPU
The NVIDIA Tesla P4 is powered by the revolutionary NVIDIA Pascal architecture and purpose-built to boost efficiency for scale-out servers running deep learning workloads, enabling smart responsive AI-based services. It slashes inference latency by 15X in any hyperscale infrastructure and provides an incredible 60X better energy efficiency than CPUs. This unlocks a new wave of AI services previous impossible due to latency limitations.
Introduction
The NVIDIA Tesla P4 is a single-slot, low profile, 6.6 inch PCI Express Gen3 GPU Accelerator with an NVIDIA Pascal graphics processing unit (GPU). The Tesla P4 has 8 GB GDDR5 memory and a 75 W maximum power limit. The NVIDIA Tesla P4 features optimized INT8 instructions aimed at deep learning inference computations. As a result, the NVIDIA Tesla P4 delivers 22 TOPs (Tera-Operations per second) of inference performance, enabling smart responsive artificial intelligence (AI)-based services.
Figure 19. ThinkSystem NVIDIA Tesla P4 GPU
Technical specifications
The following table lists the specifications of the NVIDIA Tesla P4 GPU.
Server support
The following tables list the ThinkSystem servers that are compatible.
- The SR650 has support for 5x T4 or 5x P4 GPUs in servers with second-generation Intel Xeon Scalable processors only. SR650 systems originally with first-generation processors have support for up to 4x T4 or 2x P4 GPUs.
Operating system support
The following table lists the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
NVIDIA Tesla M60 GPU
ThinkSystem NVIDIA Tesla M60 GPU accelerator works with NVIDIA GRID software to provide the industry’s highest user performance for virtualized applications. This solution allows enterprises to virtualize any application— including professional graphics applications—and deliver them out to any device, anywhere.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
ThinkSystem NVIDIA Tesla M60 is a dual-slot 10.5 inch PCI Express Gen3 graphics card with two high-end NVIDIA Maxwell graphics processing units (GPUs). The Tesla M60 has 16 GB GDDR5 memory (8 GB per GPU) and a 300 W maximum power limit. M60 is offered as a 300 W passively cooled adapter that uses system airflow to keep the card within its thermal limits.
Figure 20. ThinkSystem NVIDIA Tesla M60 GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 00KG655 | ATZE, B0TB, B13J, B0M0* | ThinkSystem NVIDIA Tesla M60 |
* Feature code varies by server
Technical specifications
The following table lists the specifications of the NVIDIA Tesla M60 GPU.
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.
Auxiliary power cables
The M60 option part numbers ship with three auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
NVIDIA Tesla M10 GPU
ThinkSystem NVIDIA Tesla M10 GPU accelerator works with NVIDIA GRID software to provide the industry’s highest user density for virtualized desktops and applications. It supports 64 desktops per board and 128 desktops per server, giving your business the power to deliver great experiences to all of your employees at an affordable cost.
- Introduction
- Part numbers
- Technical specifications
- Server support
- Operating system support
- Auxiliary power cables
Introduction
ThinkSystem NVIDIA Tesla M10 is a dual-slot 10.5 inch PCI Express 3.0 graphics card with four mid-range NVIDIA Maxwell graphics processing units (GPUs). The Tesla M10 has 32 GB GDDR5 memory (8 GB per GPU) and a 225 W maximum power limit. The board is passively cooled and supports both airflow directions.
Figure 21. ThinkSystem NVIDIA Tesla M10 GPU
Part numbers
| Part number | Feature code | Description |
|---|---|---|
| 7C57A02891 | AX8L, B15V, B0RK* | ThinkSystem NVIDIA Tesla M10 |
* Feature code varies by system
Technical specifications
The following table lists the specifications of the NVIDIA Tesla M10 GPU.
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.
Auxiliary power cables
The M10 option part number ships with two auxiliary power cables. These cables are needed when the GPU is installed in specific servers, as listed in the following table.
† For customers who buy the GPU directly from NVIDIA, this cable is also included in the ThinkSystem SR650 GPU Cable Kit, 4XH7A08794
Qualcomm Cloud AI 100 Accelerator
For details on this accelerator, see the separate Qualcomm Cloud AI 100 product guide:
https://lenovopress.lenovo.com/lp1772-thinksystem-qualcomm-cloud-ai-100
Seller Training Courses
The following sales training courses are offered for employees and partners (login required). Courses are listed in date order.
-
VTT AI: Components of the AI Stack and Where Lenovo Sits November 2024
2024-11-26 | 75 minutes | Employees Only
DetailsVTT AI: Components of the AI Stack and Where Lenovo Sits November 2024Join Per Ljungstrom, Lenovo Principal TC EMEA, as he explores AI concepts where innovations meet simplified predefined solutions which deploy at scale. Topics for this session include:
Published: 2024-11-26
• Associating software with the ground level of hardware
• Attach NVIDIA AI Enterprise, Microsoft, Tiber AI Stacks and more
• AI at the Edge and the complete solution
• What to consider when talking AI Stack with your customer
Length: 75 minutesCourse code: DVAI210Start the training:
Employee link: Grow@Lenovo -
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 -
VTT AI: NVIDIA OVX
2024-10-23 | 55 minutes | Employees and Partners
DetailsVTT AI: NVIDIA OVXPlease join this session as Steven Puzio, Global Sales Leader of NVIDIA Omniverse speaks to us about these topics:
Published: 2024-10-23
• OVX use cases
• Target customers
• OVX reference architectures
• Parts, pieces and technical details
Length: 55 minutesCourse code: DVAI209Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Think AI Weekly: Ride the NVIDIA Wave for AI
2024-10-07 | 60 minutes | Employees Only
DetailsThink AI Weekly: Ride the NVIDIA Wave for AIIn this session, a panel including speakers from NVIDIA, Lenovo IDG and Lenovo ISG address the topics:
Published: 2024-10-07
• Leveraging AI workstations to start an AI journey
• Leading an ISG sale with NVIDIA AI Enterprise
• NVIDIA sales tools available for Lenovo sellers
• NVIDIA training on grow@lenovo and more
Length: 60 minutesCourse code: DTAIW121Start the training:
Employee link: Grow@Lenovo -
Selling Speech Services
2024-09-27 | 31 minutes | Employees and Partners
DetailsSelling Speech ServicesThis course equips Lenovo and partner technical sellers with the skills to effectively communicate the increasing significance of voice technology in chatbots, virtual agents, and smart devices. By the end of the course, you'll gain a deep understanding of how NVIDIA Riva enables seamless voice interactions through cutting-edge technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG). You'll also explore Riva's industry-leading speech recognition capabilities, its multilingual voice cloning features, and how it integrates with NVIDIA AI Enterprise to help businesses meet the growing demand for voice-enabled solutions, enhancing operational efficiency.
Published: 2024-09-27
Upon completion of this training, you will be able to:
• Understand how Riva enables seamless Voice UI experiences using LLM and RAG.
• Recognize Riva’s superiority as the world’s fastest and most accurate ASR technology.
• Learn about Riva’s multilingual voice cloning feature and its impact on user personalization and language barriers.
• Discover how NVIDIA AI Enterprise, with Riva integration, meets the rising demand for voice-enabled chatbots and interfaces, enhancing business operations.
Length: 31 minutesCourse code: DAINVD207Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Gnerative AI with NIM and NeMo Overview
2024-09-27 | 26 minutes | Employees and Partners
DetailsGnerative AI with NIM and NeMo OverviewThis course is designed to equip Lenovo and partner technical sellers with the essential knowledge to effectively engage customers in discussions about their current use of generative AI. It will also help sellers identify customer needs and potential opportunities within this rapidly growing field. Additionally, the course explores how NVIDIA NIMs can accelerate the path to production-grade generative AI, while showcasing the most effective sales strategies to drive success with customers.
Published: 2024-09-27
In this training, you will explore the following key topics:
• Generative AI and NVIDIA NeMo
• Data Curation
• Training
• Customizing Models
• Inference
• Guardrails
Last Updated: September 2024
Length: 26 minutesCourse code: DAINVD210Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
TensorRT Product Training
2024-09-27 | 10 minutes | Employees and Partners
DetailsTensorRT Product TrainingThis course equips Lenovo and partner technical sellers with the knowledge to effectively communicate the increasing significance of TensorRT, an SDK designed for high-performance deep learning inference. It covers the key differences between TensorRT and Framework TensorRT, while also providing guidance on how to get started with TensorRT for optimizing AI models.
Published: 2024-09-27
In this training, you will explore the following key topics:
• What is Tensor RT?
• Tensor RT Workflow
• What is Framework TensorRT?
• TensorRT versus Framework TensorRT
• Installation
Length: 10 minutesCourse code: DAINVD209Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Riva Product Training
2024-09-27 | 21 minutes | Employees and Partners
DetailsRiva Product TrainingThis course equips Lenovo and partner technical sellers with the expertise to effectively convey the growing importance of NVIDIA Riva, along with its key features and capabilities. The course concludes with an in-depth look at real-world use cases and workflows utilizing Riva's advanced speech AI technology.
Published: 2024-09-27
Upon completion of this training, you will be able to:
• Understand speech AI market trends, benefits, and use cases.
• Discuss NVIDIA Riva overview.
• Understand NVIDI Riva AI workflows.
• Find the useful resources.
Length: 21 minutesCourse code: DAINVD208Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
NVIDIA AI Enterprise Product Training
2024-09-26 | 30 minutes | Employees and Partners
DetailsNVIDIA AI Enterprise Product TrainingThis course equips Lenovo and partner technical sellers with the knowledge to effectively communicate the architecture and features of the latest version of NVIDIA AI Enterprise, how to find the software and understanding the licensing structure.
Published: 2024-09-26
Length: 30 minutesCourse code: DAINVD204Start 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 -
NVIDIA AI Foundry Training
2024-09-26 | 18 minutes | Employees and Partners
DetailsNVIDIA AI Foundry TrainingThis course equips Lenovo and partner technical sellers with the expertise to effectively communicate how enterprises leverage Generative AI. It provides an overview of key use cases before diving into best practices for Model Customization using NVIDIA AI Foundry. The course concludes with a comprehensive guide on how to get started with NVIDIA AI Foundry, ensuring you're prepared to support clients in their AI initiatives.
Published: 2024-09-26
In this training, you will explore the following key topics:
• How enterprises are suing generative AI
• Model customization best practices with NVIDIA AI Foundry
• Putting generative AI into production
• Getting started
Length: 18 minutesCourse code: DAINVD206Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
AI Workflows - Reference Applications to Unlock AI Outcomes
2024-09-26 | 19 minutes | Employees and Partners
DetailsAI Workflows - Reference Applications to Unlock AI OutcomesThis course provides Lenovo and partner technical sellers with the expertise to effectively communicate the value of an NVIDIA AI Workflow. You will gain a clear understanding of the components, steps, and key features of an AI workflow, along with a brief introduction to the supported workflows. Additionally, this course will guide you on how and where to begin implementing an AI Workflow, empowering you to better assist clients.
Published: 2024-09-26
In this training, you will explore the following key topics:
• What is an AI Workflow?
• What are the benefits of Workflows?
• What are the AI Workflows offered by NVIDIA?
• What’s included in an AI Workflow?
• Where can I find more information about AI Workflow?
Length: 19 minutesCourse code: DAINVD205Start 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 -
Lenovo VTT Cloud Architecture - Unlock Gen AI with VMware Private AI Foundation with NVIDIA
2024-07-16 | 60 minutes | Employees Only
DetailsLenovo VTT Cloud Architecture - Unlock Gen AI with VMware Private AI Foundation with NVIDIAIn today's rapidly evolving digital landscape, businesses are hungry for the transformative power of Artificial Intelligence (AI). They see AI as the key to streamlining operations and unlocking exciting new opportunities. However, widespread adoption has been hampered by concerns surrounding privacy, the complexity of implementation, and the hefty costs associated with deploying and managing AI solutions at an enterprise level.
Published: 2024-07-16
Join Chris Gully and Baker Hull, Solutions Architects from VMware by Broadcom, as they discuss how Lenovo, NVIDIA, and VMware By Broadcom are partnering to deliver a private, secure, scalable, and flexible AI infrastructure solution that helps enterprise customers build and deploy AI workloads within their own private cloud infrastructure, ensure the control of sensitive data and compliance with regulatory requirements, ultimately driving faster time to value and achieving their AI objectives.
Length: 60 minutesCourse code: DVCLD214Start the training:
Employee link: Grow@Lenovo -
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 -
AI Fast Start
2024-06-20 | 5 minutes | Employees and Partners
DetailsAI Fast StartThis Quick Hit introduces you to the AI Fast Start services: AI Fast Start NVIDIA AI Enterprise, AI Fast Start with NVIDIA Inferencing Microservices (NIM), and AI Fast Start with AI Innovation Partners.
Published: 2024-06-20
Length: 5 minutesCourse code: SXXW2540aStart 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 -
VTT HPC & AI: Lenovo EveryScale OVX Solution for NVIDIA Omniverse
2023-11-28 | 55 minutes | Employees and Partners
DetailsVTT HPC & AI: Lenovo EveryScale OVX Solution for NVIDIA OmniverseView this session to see Duncan Furniss, Lenovo HPC and AI Solution Architect, describe the Lenovo EveryScale OVX solution for NVIDIA Omniverse. He discusses customer use cases and how to order.
Published: 2023-11-28
Length: 55 minutesCourse code: DVHPC206Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
NVIDIA AI Solutions and Market Trends
2023-10-12 | 55 minutes | Employees Only
DetailsNVIDIA AI Solutions and Market TrendsThe purpose of this course is to help the learner recognized AI Market and trends. Also, explain NVIDIA's Computing platform, and discuss its importance for the market.
Published: 2023-10-12
Course Objectives:
Recognize AI Trends
Explain NVIDIA Computing Platform
Discuss Industry Verticals Marketing
Length: 55 minutesCourse code: DAINVD101Start the training:
Employee link: Grow@Lenovo -
NVIDIA L40S GPU Overview and Business Use Case
2023-10-12 | 60 minutes | Employees Only
DetailsNVIDIA L40S GPU Overview and Business Use CaseWelcome to the NVIDIA L40S GPU Overview and Business Use Case course. This course offers a closer look at the L40S GPU, featuring a webinar presented by Brad Davidson from NVIDIA. Throughout this course, we delve deep into the L40S GPU's capabilities, provide situational use cases, guide you on effectively positioning the L40S in various scenarios, and facilitate a meaningful comparison between the L40S and DGX systems.
Published: 2023-10-12
Completing this course will enable you to:
• Describe the basics of NVIDIA L40S
• Discuss how NVIDIA L40S delivers level performance for AI
• Discuss generative AI and omniverse
Length: 60 minutesCourse code: DAINVD102Start the training:
Employee link: Grow@Lenovo -
Partner Technical Webinar - Nvidia Update
2023-07-24 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - Nvidia UpdateJuly 14, 2023 – in this 60-minute replay, Jose Huescas - HPC & AI Product Manager, provide an in-depth review and update on Nvidia as it relates to Lenovo ISG. He covered Architecture, and Sizing among other key topics.
Published: 2023-07-24
Length: 60 minutesCourse code: 071423Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Partner Technical Webinar - Nvidia OVX Technical Overview
2022-10-07 | 60 minutes | Partners Only
DetailsPartner Technical Webinar - Nvidia OVX Technical OverviewIn this 60-minute replay, Rama Darbha of the Nvidia Solution Architecture Infrastructure Team discussed OVX, defined Digital Twins, and introduced the Lenovo OVX reference architecture.
Published: 2022-10-07
Length: 60 minutesCourse code: 093022Start the training:
Partner link: Lenovo Partner Learning
1-10 of 33 courses.
Trademarks
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:
Lenovo®
ServerProven®
ThinkAgile®
ThinkSystem®
The following terms are trademarks of other companies:
AMD, AMD EPYC™, AMD Instinct™, AMD Radeon™, Alveo™, Radeon Instinct™, and Radeon™ are trademarks of Advanced Micro Devices, Inc.
Intel® and Xeon® are trademarks of Intel Corporation or its subsidiaries.
Linux® is the trademark of Linus Torvalds in the U.S. and other countries.
Microsoft®, DirectX®, Windows Server®, and Windows® are trademarks of Microsoft Corporation in the United States, other countries, or both.
Other company, product, or service names may be trademarks or service marks of others.
Configure and Buy
Please select a locale
Please select your market:
Full Change History
Changes in the November 14, 2024 update:
- Added the following double-wide PCIe GPU:
- ThinkSystem NVIDIA H200 NVL 141GB PCIe GPU Gen5 Passive GPU, C3V3
- Added missing NVIDIA part numbers for NVIDIA software:
Changes in the November 12, 2024 update:
- Added the following software part numbers - NVIDIA vGPU Software section:
- NVIDIA vApps Perpetual License, 1 CCU, 7S020046WW
- NVIDIA vPC Perpetual License, 1 CCU, 7S020047WW
- NVIDIA RTX vWS Perpetual License, 1 CCU , 7S020048WW
- NVIDIA RTX vWS EDU Perpetual License, 1 CCU, 7S020049WW
Changes in the October 18, 2024 update:
- The NVIDIA RTX 4500 Ada is a non-Controlled GPU and is available in all markets - Part numbers section
Changes in the October 10, 2024 update:
- Added the following 4-GPU board:
- ThinkSystem NVIDIA HGX H200 141GB 700W 4-GPU Board, C3V2
Changes in the September 26, 2024 update:
- Added Seller Training Courses section
Changes in the September 17, 2024 update:
- Added Model ThinkAgile HX360 V2 Edge - see ThinkAgile HX Support section
- Added GPU Support for ThinkAgile HX - See ThinkAgile HX Support section
- ThinkSystem NVIDIA A2 16GB PCIe Gen4 Passive GPU, 4X67A81547
- ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU, 4X67A84823
- ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU, 4X67A90669
- ThinkSystem NVIDIA A16 64GB Gen4 PCIe Passive GPU, 4X67A76727
- ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU, 4X67A84824
- Added GPU Support for ThinkAgile VX - See ThinkAgile VX Support section
- ThinkSystem NVIDIA RTX A4500 20GB PCIe Active GPU, 4X67A76726
- ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU, 4X67A90669
- ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU, 4X67A89325
- Added GPU Support for ThinkAgile MX - See ThinkAgile MX Support section
- ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU, 4X67A84824
- ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU, 4X67A84823
- ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU, 4X67A90669
Changes in the September 10, 2024 update:
- The following GPUs are withdrawn from marketing:
- ThinkSystem NVIDIA RTX A4500 20GB PCIe Active GPU, 4X67A76726
- ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU w/o CEC, 4X67A76715
Changes in the August 27, 2024 update:
- New 5-year license of NVIDIA Omniverse Enterprise - NVIDIA software section
Changes in the July 30, 2024 update:
- Added the following new GPU:
- ThinkSystem NVIDIA RTX 4500 Ada 24GB PCIe Active GPU, 4X67A96491
- The following GPU is withdrawn:
- ThinkSystem NVIDIA T4 16GB PCIe Passive GPU, 4X67A14926
Changes in the July 8, 2024 update:
- The following GPU is withdrawn:
- ThinkSystem NVIDIA RTX A6000 48GB PCIe Active GPU, 4X67A71310
Changes in the June 16, 2024 update:
- The following GPUs are withdrawn:
- ThinkSystem Intel Data Center GPU Max 1350 96GB 450W 4-GPU OAM Board, BS2M
- ThinkSystem Intel Data Center GPU Max 1550 128GB 600W 4-GPU OAM Board, BL18
Changes in the May 7, 2024 update:
- Added Table 17 listing the NVIDIA software supported by each NVIDIA GPU - NVIDIA software section
Changes in the April 23, 2024 update:
- Added the following PCIe GPU:
- ThinkSystem NVIDIA RTX 6000 Ada 48GB PCIe Active GPU, 4X67A89324
- Added the following 8-GPU complexes:
- ThinkSystem AMD MI300X 192GB 750W 8-GPU Board, C1HK
- ThinkSystem NVIDIA HGX H100 80GB 700W 8-GPU Board, C1HL
- ThinkSystem NVIDIA HGX H200 141GB 700W 8-GPU Board, C1HM
Changes in the March 29, 2024 update:
- New section listing ordering information and controlled status - Part numbers section
Changes in the March 21, 2024 update
- Moved the content for the following GPUs to separate product guides:
- NVIDIA RTX A2000: https://lenovopress.lenovo.com/lp1919
- NVIDIA T1000: https://lenovopress.lenovo.com/lp1924
- NVIDIA T400: https://lenovopress.lenovo.com/lp1925
- NVIDIA T4: https://lenovopress.lenovo.com/lp1926
Changes in the March 18, 2024 update
- Moved the content for following GPUs to separate product guides:
Changes in the March 7, 2024 update
- Added the following GPU:
- ThinkSystem Intel Flex 140 12GB Gen4 Passive GPU, 4X67A86130
Changes in the February 9, 2024 update:
- Corrected the auxiliary power cable needed for the RTX A4500 GPU when installed in the SR665 V3, SR655 V3, and SR650 V3 - RTX A4500 Auxiliary power cables section
Changes in the November 8, 2023 update:
- Additional GPU support for ThinkAgile VX for V3 systems - ThinkAgile VX V3
Changes in the November 6, 2023 update
- Added the following GPU:
- ThinkSystem Intel Flex 170 16GB Gen4 Passive GPU, 4X67A86131
- Added the GPU support tables for ThinkAgile V3 systems (4th Gen Intel and 4th Gen AMD processors):
- Updated the GPU support tables for ThinkSystem V2 & AMD Milan systems (3rd Gen Intel and 3rd Gen AMD processors)
Changes in the October 31, 2023 update
- The following GPUs are withdrawn from marketing:
- ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU, 4X67A89326
- ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU, 4X67A86451
- ThinkSystem NVIDIA A800 80GB PCIe Gen4 Passive GPU, 4X67A86324
Changes in the September 12, 2023 update:
- Added the following GPUs:
- ThinkSystem NVIDIA H100 NVL 94GB PCIe Gen5 Passive GPU, 4X67A89325
- ThinkSystem NVIDIA H800 NVL 94GB PCIe Gen5 Passive GPU, 4X67A89326
- ThinkSystem NVIDIA H800 80GB PCIe Gen5 Passive GPU, 4X67A86451
- ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU, 4X67A90669
Changes in the August 21, 2023 update:
- Corrected the physical dimensions of the RTX 4500 GPU - NVIDIA RTX A4500 GPU section
Changes in the July 31, 2023 update:
- Added the following GPU
- Qualcomm Cloud AI 100 Accelerator
- The following GPU is now withdrawn from marketing:
- NVIDIA Tesla M10 GPU, PCIe (passive), 7C57A02891
Changes in the June 23, 2023 update:
- Added NVIDIA A800 - details in the NVIDIA A100 and A800 GPU product guide
https://lenovopress.lenovo.com/lp1734-thinksystem-nvidia-a100-pcie-40-passive-gpu
Changes in the June 20, 2023 update:
- Corrected the number of CUDA cores in the NVIDIA A30 GPU - NVIDIA A30 GPU section
Changes in the May 4, 2023 update:
- Added images of the NVIDIA RTX A6000 GPU cable kit for the ST650 V2 - RTX A6000 power cable section
- Moved the content for following GPUs to separate product guides:
- NVIDIA L40: https://lenovopress.lenovo.com/lp1718-nvidia-l40-48gb-pcie-gen4-passive-gpu
- NVIDIA L4: https://lenovopress.lenovo.com/lp1717-nvidia-l4-24gb-pcie-gen4-passive-gpu
- NVIDIA H100: https://lenovopress.lenovo.com/lp1732-nvidia-h100-80gb-pcie-gen5-passive-gpu
- NVIDIA A100: https://lenovopress.lenovo.com/lp1734-nvidia-a100-40gb-pcie-40-passive-gpu
Changes in the April 24, 2023 update:
- The following GPU is withdrawn:
- ThinkSystem Intel Data Center GPU Max 1350 96GB 450W 4-GPU OAM Board, BS2M
Changes in the April 17, 2023 update:
- Add images of the GPU power cables for the following GPUs:
Changes in the April 15, 2023 update:
- Added the following GPUs
- ThinkSystem NVIDIA L40 48GB PCIe Gen4 Passive GPU, 4X67A84823
- ThinkSystem NVIDIA L4 24GB PCIe Gen4 Passive GPU, 4X67A84824
- Corrected the GPU power cables for the NVIDIA H100 - H100 Auxiliary Power Cables section
Changes in the March 10, 2023 update:
- The following GPU is now withdrawn from marketing:
- ThinkSystem NVIDIA Quadro P6000 PCIe Active GPU, 7C57A02895
Changes in the March 1, 2023 update:
- The following GPU is now withdrawn from marketing:
- ThinkSystem NVIDIA Quadro RTX 6000 24GB PCIe Passive GPU, 4X67A13125
Changes in the February 16, 2023 update:
- Added the following NVIDIA software - NVIDIA software section
- NVIDIA Virtual Compute Server (vCS) Subscription
- NVIDIA HPC Compiler Support Services
- NVIDIA HPC Compiler Premier Support Services
Changes in the February 13, 2023 update:
- Updated the ThinkAgile HX support table for Whitley processor servers - ThinkAgile HX support section
Changes in the January 24, 2023 update:
- Updated the ThinkAgile MX support tables to add support for the following GPUs - ThinkAgile MX support section:
- ThinkSystem NVIDIA A10 24GB PCIe Gen4 Passive GPU w/o CEC
- ThinkSystem NVIDIA A16 64GB Gen4 PCIe Passive GPU w/o CEC
- ThinkSystem NVIDIA A40 48GB PCIe Gen4 Passive GPU w/o CEC
Changes in the January 20, 2023 update:
- Added the NVIDIA H100 PCIe GPU
- Added the NVIDIA RTX A4500 GPU
- Added the NVIDIA H100 SXM5 4-GPU Board
- Added the Intel Max Series 1350 and 1550 4-GPU Boards
Changes in the December 18, 2022 update:
- For the NVIDIA A40 GPU, feature BEL4 has been withdrawn and is replaced by feature BQZQ - ThinkSystem NVIDIA A40 GPU section
Changes in the November 8, 2022 update:
- New GPU announced - ThinkSystem NVIDIA RTX A2000 GPU section:
- ThinkSystem NVIDIA RTX A2000 12GB PCIe Active GPU, 4X67A76720
- New 4-GPU bridge link announced for the AMD MI210 accelerator - ThinkSystem AMD Instinct MI210 Accelerator section:
- ThinkSystem AMD Instinct MI210 4x Infinity Fabric Link Bridge Card, 4X67A82325
Changes in the September 11, 2022 update:
- For the ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU - ThinkSystem NVIDIA A100 GPU section:
- Feature code BLK1 (ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU) is now withdrawn
- Part number 4X67A76715 now contains feature code BQZP (ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU w/o CEC)
Changes in the July 19, 2022 update:
- The following GPU is now withdrawn from marketing:
- ThinkSystem NVIDIA Quadro P620 2GB PCIe Active GPU, 4X67A11584
Changes in the July 11, 2022 update:
- The NVIDIA T400 has 4GB of GPU memory
Changes in the May 24, 2022 update:
- Additional feature codes for existing NVIDIA GPUs:
- ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU w/o CEC, BQZP
- ThinkSystem NVIDIA A40 48GB PCIe Gen4 Passive GPU w/o CEC, BQZQ
- ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU w/o CEC, BQZR
- ThinkSystem NVIDIA A10 24GB PCIe Gen4 Passive GPU w/o CEC, BQZS
Changes in the April 15, 2022 update:
- The following GPU is now withdrawn:
- ThinkSystem NVIDIA Quadro RTX 4000 8GB PCIe Active GP, 4X67A14934
Changes in the March 30, 2022 update:
- Formatting updates
Changes in the March 29, 2022 update:
- New accelerator announced for ThinkSystem servers - AMD Instinct MI210:
- ThinkSystem AMD Instinct MI210 PCIe Gen4 Passive Accelerator, 4X67A81102
- Added the NVIDIA software part numbers available from Lenovo - NVIDIA software section:
- NVIDIA vGPU Software (vApps, vPC, RTX vWS, and vCS)
- NVIDIA Omniverse Software (OVE)
- NVIDIA AI Enterprise Software (NVAIE)
- New section, NVIDIA-Certified Systems
Changes in the March 1, 2022 update:
- New GPUs announced for ThinkSystem servers - NVIDIA RTX T1000 and NVIDIA RTX T400:
- ThinkSystem NVIDIA Quadro RTX T400 2GB PCIe Active GPU, 4X67A79778
- ThinkSystem NVIDIA Quadro RTX T1000 8GB PCIe Active GPU, 4X67A79777
Changes in the February 15, 2022 update:
- New GPUs announced for ThinkSystem servers - NVIDIA A16 and NVIDIA A2:
- ThinkSystem NVIDIA A16 64GB Gen4 PCIe Passive GPU, 4X67A76727
- ThinkSystem NVIDIA A2 16GB PCIe Gen4 Passive GPU, 4X67A81547
- NVIDIA T4 and A10 now supported on the SR670 V2
Changes in the January 30, 2022 update:
- Updated the GPU power cable tables for the following GPUs:
- NVIDIA RTX A6000 - added SR650 V2 and ST650 V2 cable kits
- NVIDIA RTX 6000 - add SR650 V2 cable kit
- NVIDIA RTX 4000 - add ST650 V2 cable kit
Changes in the December 23, 2021 update:
- The following GPU is now withdrawn from marketing:
- ThinkSystem NVIDIA Tesla V100S 32GB PCIe Passive GPU, 4X67A13124
Changes in the October 13, 2021 update:
- The following GPU is now withdrawn from marketing:
- ThinkSystem NVIDIA Quadro P2200 5GB PCIe Active GPU, 4X67A14935
Changes in the September 24, 2021 update:
- The following GPU is now withdrawn from marketing:
- ThinkSystem NVIDIA Tesla V100 FHHL 16GB GPU PCIe, 4X67A11524
Changes in the September 16, 2021 update:
- Added GPU support for the following systems:
- ThinkAgile HX with 3rd Gen Intel Xeon ("Whitley") processors - ThinkAgile HX support section
- ThinkAgile VX with 3rd Gen Intel Xeon ("Whitley") processors - ThinkAgile VX support section
- ThinkAgile MX with 3rd Gen Intel Xeon ("Whitley") processors - ThinkAgile MX support section
Changes in the September 10, 2021 update:
- The following GPU is now withdrawn:
- ThinkSystem NVIDIA Tesla V100 32GB PCIe Passive GPU, 4X67A12088
Changes in the August 24, 2021 update:
- New 80GB A100 GPU - NVIDIA A100 GPU section:
- ThinkSystem NVIDIA A100 80GB PCIe Gen4 Passive GPU, 4X67A76715
- Updated server support for the following GPUs:
- ThinkSystem NVIDIA A10 24GB PCIe Gen4 Passive GPU - NVIDIA A10 section
- ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU - NVIDIA A30 section
- ThinkSystem NVIDIA A40 48GB PCIe Gen4 Passive GPU - NVIDIA A40 section
Changes in the July 12, 2021 update:
- 4-year NVIDIA software licenses withdrawn from marketing - NVIDIA software section
Changes in the July 10, 2021 update:
- Added the SR670 power cables to the NVIDIA A40 Auxiliary power cables section
Changes in the July 3, 2021 update:
- Added operating system support for the following GPUs:
Changes in the July 1, 2021 update:
- Added power cable information for the A40 installed in the SR665 - A40 auxiliary power cables section
- Clarified support of the A100 with the SR665 - A100 server support section
Changes in the June 29, 2021 update:
- The following GPUs are now withdrawn from marketing:
- ThinkSystem AMD Radeon Instinct MI25 16GB PCIe Passive GPU, 7C57A02897
- ThinkSystem SR670 AMD Radeon Instinct MI25 16Gb PCIe Passive GPU, 4C57A16224
Changes in the June 14, 2021 update:
- Updated the ThinkAgile MX table - ThinkAgile MX support section
Changes in the June 8, 2021 update:
- The NVIDIA A10 is now available as a part number - NVIDIA A10 section
- The NVIDIA A40 is supported in the SR665
Changes in the June 3, 2021 update:
- Added OS support information for the NVIDIA A10 - A10 operating system support section
Changes in the May 3, 2021 update:
- Added new SXM4 4-GPU complexes - NVIDIA HGX A100 4-GPU Board:
- ThinkSystem NVIDIA HGX A100 40GB 400W 4-GPU Board, feature code BCSL
- ThinkSystem NVIDIA HGX A100 80GB 500W 4-GPU Board, feature code BHT3
- Added new double-wide PCIe GPU - NVIDIA A30 GPU:
- ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU, 4X67A76581
- Added new single-wide PCIe GPU - NVIDIA A10 GPU:
- ThinkSystem NVIDIA A10 24GB PCIe Gen4 Passive GPU, 4X67A71311
- Corrected the power cables needed for the NVIDIA A40 GPU - A40 auxiliary power cables
Changes in the April 6, 2021 update:
- Added new ThinkSystem V2 servers with "Ice Lake" processors
Changes in the March 15, 2021 update:
- The NVIDIA A100 is now supported in the SR665 with EPYC 7003 processors - NVIDIA A100 section
- For SR665 systems with AMD EPYC 7003 "Milan" processors, the A100 is supported in either factory orders (CTO) or field upgrades.
- For SR665 systems with AMD EPYC 7002 "Rome" processors, the A100 is only supported under Special Bid conditions and is not supported as a field upgrade.
- Added the power cable for the A100 installed in the SR665 - NVIDIA A100 section
- The NVIDIA Quadro RTX 6000 and RTX 8000 are supported on the SR665 via Special Bid only - RTX 8000 and RTX 6000 sections (effective March 16)
Changes in the March 9, 2021 update:
- New RTX A6000 GPU - NVIDIA Quadro RTX A6000 section
- ThinkSystem NVIDIA Quadro RTX A6000 48GB PCIe Active GPU, 4X67A71310
- New ThinkAgile MX support section - ThinkAgile MX support
- The NVIDIA A40 is now available generally with the SR670, not just via LeSI - NVIDIA A40 GPU section
- The NVIDIA A100 is now available in the SR860 V2 - NVIDIA A100 GPU section
- New cable option part number 4X97A76342 for GPUs supported in the SR860 V2 - NVIDIA A100 GPU section and NVIDIA Tesla V100S GPU section
- New cable option part number 4X97A59853 for GPUs supported in the SR655 - A100, V100 and V100S sections
Changes in the February 21, 2021 update:
- The following GPUs are withdrawn from marketing:
- ThinkSystem NVIDIA Tesla V100 16GB PCIe Passive GPU, 4C57A09498
- ThinkSystem NVIDIA Quadro P4000 8GB PCIe Active GPU, 4V17A10255
- NVIDIA Tesla P40 GPU, PCIe (passive), 7C57A02888
Changes in the February 3, 2021 update:
- Additional technical information for the NVIDIA A40 - A40 technical specifications section
Changes in the January 20, 2021 update:
- Added images for auxiliary power cables SBB7A14640 and SBB7A10974
Changes in the January 19, 2021 update:
- New NVIDIA A40 GPU
- Added the auxiliary power cables that are needed for the A100 installed in the SR650 and SR655 - A100 power cables section
- Corrected which auxiliary power cables are needed for the V100 and V100S in the SR655 - V100 power cables and V100S power cables sections
- Indicated when an auxiliary power cable is available as part of the ThinkSystem SR650 GPU Cable Kit (4XH7A08794), for customers who buy the GPU from non-Lenovo sources for use in the SR650 server.
Changes in the January 13, 2021 update:
- Added table of supported operating systems for the NVIDIA A100 GPU, generated from ServerProven - A100 OS support section
Changes in the November 24, 2020 update:
- The NVIDIA A100 is now supported in the following systems - A100 server support section:
- ThinkSystem SR650
- ThinkSystem SR655
- ThinkSystem SR665 (Special Bid only)
Changes in the November 17, 2020 update:
- Added the following HX Series systems with support for the NVIDIA T4 GPU - ThinkAgile HX support section
- ThinkAgile HX1021 Certified Node (Edge server)
- ThinkAgile HX3375 Appliance (AMD processor-based)
- ThinkAgile HX3376 Certified Node (AMD processor-based)
Changes in the October 27, 2020 update:
- The SR655 supports up to 6x NVIDIA T4 GPUs
Changes in the September 18, 2020 update:
- NVIDIA RTX 6000 and RTX 8000 GPUs are now supported in the SR650 and SR655 as part of LeSI solutions.
Changes in the September 15, 2020 update:
- New NVIDIA A100 GPU
- Removed the footnote about CTO orders requiring HPC & AI mode in the DCSC configurator. The following GPUs can now be ordered CTO when selecting General Purpose mode in DCSC:
- NVIDIA Tesla V100 32GB, 4X67A12088
- NVIDIA Tesla V100 16GB, 4C57A09498
- NVIDIA Tesla V100 FHHL, 4X67A11524
- AMD Radeon Instinct MI25, 7C57A02897
- NVIDIA Quadro RTX 5000, 4X67A17267
Changes in the August 25, 2020 update:
- The NVIDIA P620 is now supported in the SR635 and SR655 - P620 server support section
- The SR655 now supports up to 8x NVIDIA Tesla T4 GPUs - T4 server support section
- The AMD Radeon Pro V340 is withdrawn from marketing
Changes in the July 31, 2020 update:
- Added the part number and Auxiliary power cables section for the RTX 8000 GPU
- Added the power cable needed for the V100S and V100 when installed in the SR665 server, SBB7A21691
Changes in the May 19, 2020 update:
- Corrected the power consumption of the RTX 6000 GPU - RTX 6000 technical specifications section
Changes in the May 5, 2020 update:
- Added NVIDIA Quadro RTX 8000
- Added SR645 and SR665 to the server support table - ThinkSystem Server support section
- The SR650 supports 3x NVIDIA Quadro RTX 4000
Changes in the April 30, 2020 update:
- Some NVIDIA software licenses withdrawn from marketing - NVIDIA software section
Changes in the February 28, 2020 update:
- RTX 6000 is passively cooled and does not have any physical display ports
Changes in the February 25, 2020 update:
- New NVIDIA Tesla V100S
- New NVIDIA Quadro RTX 6000
- Existing NVIDIA Quadro P2200 is now supported in the ST250
Changes in the January 7, 2020 update:
- Added the SR850P server (no GPU support)
- The following GPUs are withdrawn from marketing:
- NVIDIA Tesla M60 GPU, PCIe Passive, 00KG655
- NVIDIA Quadro P2000 GPU, 7C57A02877
Changes in the December 17, 2019 update:
- Updated support for the ThinkAgile VX3520-G and ThinkAgile VX 2U Certified Node - ThinkAgile VX support section
Changes in the October 29, 2019 update:
- New GPU: NVIDIA Quadro P2200 5GB PCIe Active GPU
- Auxiliary power cable images can now be clicked to show a larger version in a lightbox
Changes in the October 11, 2019 updates:
- Added information about the auxiliary power cables included with most GPU option part numbers
Changes in the October 9, 2019 update:
- The NVIDIA Quadro RTX 5000 GPU is now available world-wide
Changes in the August 9, 2019 update:
- Added SR635 and SR655 servers
- Updated GPU support for HX3520-G and HX3521-G - ThinkAgile HX support section
Changes in the July 23, 2019 update:
- Added new NVIDIA GPUs
- ThinkSystem NVIDIA Quadro RTX 5000 GPU, 4X67A17267
- ThinkSystem NVIDIA Quadro RTX 4000 GPU, 4X67A14934
Changes in the May 19, 2019 update:
- Added operating system support tables for ThinkSystem SR670 AMD Radeon Instinct MI25 16Gb PCIe Passive GPU - AMD Radeon Instinct MI25 GPU section
Changes in the May 8, 2019 update:
- Added operating system support tables for each GPU
Changes in the April 16, 2019 update:
- NVIDIA Tesla T4 16GB is now supported in the ThinkSystem SR630
- AMD Radeon Pro V340 32GB is now supported in the ThinkSystem SD530
- The SR650 with second-generation Intel Xeon Scalable processors now supports up to 5x NVIDIA T4 or 5x NVIDIA P4 GPUs
Changes in the March 13, 2019 update:
- ThinkAgile VX 2U Certified Nodes now support the NVIDIA P40, V100 16GB, V100 32GB, and V100 16GB FHHL GPUs - ThinkAgile VX support section
Changes in the February 28, 2019 update:
- Added NVIDIA software section
- ThinkAgile HX3520-G and HX3521-G now support the NVIDIA P40 GPU - ThinkAgile HX support section
Changes in the February 28, 2019 update:
- ThinkAgile HX3520-G and HX3521-G now support the NVIDIA P40 GPU - ThinkAgile HX support section
Changes in the February 25, 2019 update:
- The ThinkSystem NVIDIA Tesla P100 GPU is withdrawn from marketing.
Changes in the February 13, 2019 update:
- Removed the limitation regarding the number of NVIDIA T4 GPUs installed and the total system memory - NVIDIA Tesla T4 section
Changes in the December 11, 2018 update:
Changes in the November 22, 2018 update:
- The Tesla M10 and M60 adapters have a limitation that the total server memory must be less than 1 TB.
Changes in the November 5, 2018 update:
- Added new servers: ThinkSystem ST50, ST250, SR150 and SR250
Changes in the October 3, 2018 update:
- ThinkSystem NVIDIA Quadro P600 2GB PCIe Active GPU, 7C57A02894 is withdrawn from marketing
Tip: Use the Display withdrawn products checkbox to display this withdrawn option.
Changes in the September 10, 2018 update:
- Corrections to Table 1
Changes in the September 4, 2018 update:
- Added ThinkSystem SR670
- NVIDIA Tesla V100 32GB is supported on the SR860, effective September 11
Changes in the July 17, 2018 update:
- New NVIDIA Tesla V100 FHHL GPU
- The NVIDIA Quadro P4000 GPU is now supported in the ThinkSystem ST550
Changes in the June 12, 2018 update:
- Added the 32GB version of the NVIDIA Tesla V100 GPU
Changes in the May 17, 2018 update:
- Indicated in the support tables the quantity of GPUs supported in each server
Changes in the May 5, 2018 update:
- Added the NVIDIA Quadro P620
Changes in the April 24, 2018 update:
- The NVIDIA Tesla V100 GPU is now supported in the SR860
Changes in the January 24, 2018 update:
- The ThinkSystem SD530 supports the Tesla P40, P100, M10 and M60
- The ThinkSystem SR860 supports the Tesla M60
Changes in the November 21, 2017 update:
- Added NVIDIA Tesla P40
- Added NVIDIA Tesla M10
First published: October 4, 2017
Course Detail
Employees Only Content
The content in this document with a is only visible to employees who are logged in. Logon using your Lenovo ITcode and password via Lenovo single-signon (SSO).
The author of the document has determined that this content is classified as Lenovo Internal and should not be normally be made available to people who are not employees or contractors. This includes partners, customers, and competitors. The reasons may vary and you should reach out to the authors of the document for clarification, if needed. Be cautious about sharing this content with others as it may contain sensitive information.
Any visitor to the Lenovo Press web site who is not logged on will not be able to see this employee-only content. This content is excluded from search engine indexes and will not appear in any search results.
For all users, including logged-in employees, this employee-only content does not appear in the PDF version of this document.
This functionality is cookie based. The web site will normally remember your login state between browser sessions, however, if you clear cookies at the end of a session or work in an Incognito/Private browser window, then you will need to log in each time.
If you have any questions about this feature of the Lenovo Press web, please email David Watts at dwatts@lenovo.com.
