Hybrid AI 285 with Cisco Networking
“
Specifications
- Product Name: Lenovo Hybrid AI 285 with Cisco Networking
- Configuration: NVIDIA 2-8-5 PCIe-optimized configuration
- Main Components: 2x CPUs, 8x GPUs, 5x network adapters
- Use Cases: Inference, model training, fine-tuning
Product Usage Instructions
Overview
The Lenovo Hybrid AI 285 Platform with Cisco Networking is
designed for enterprises to deploy hybrid AI infrastructure
quickly. It supports various AI use cases and can be used as a new
setup or an extension of existing IT infrastructure.
Components
The main components of the Lenovo Hybrid AI 285 platform are
Compute nodes and Networking infrastructure. These components can
be integrated into a Lenovo EveryScale Rack or Client Site
Integration Kit.
Setup
To set up the Lenovo Hybrid AI 285 with Cisco Networking, follow
these steps:
- Install the Compute nodes and Networking hardware in the
designated rack or client site integration kit. - Connect all the GPUs and network adapters as per the
configuration requirements. - Ensure proper power supply and network connections are
established.
Configuration
Configure the networking settings and GPU allocations based on
your specific use case requirements. Refer to the platform guide
for detailed configuration instructions.
FAQ
Q: What is the scalability of the Lenovo Hybrid AI 285
Platform?
A: The platform can scale from a Starter Kit environment with
4-32 PCIe GPUs to a Scalable Unit Deployment with up to 96 GPUs
across multiple servers and scalable units.
Q: What are the main hardware components of the Lenovo Hybrid
AI 285?
A: The main components include Compute nodes and Networking
infrastructure integrated into Lenovo EveryScale Rack or Client
Site Integration Kit.
“`
Lenovo Hybrid AI 285 with Cisco Networking
Product Guide
This document is meant to be used in tandem with the Hybrid AI 285 platform guide . It describes the hardware architecture changes required to leverage Cisco networking hardware and the Cisco Nexus Dashboard within the Hybrid AI 285 Platform.
Lenovo Hybrid AI 285 is a platform that enables enterprises of all sizes to quickly deploy hybrid AI factory infrastructure, supporting Enterprise AI use cases as either a new, greenfield environment or an extension of their existing IT infrastructure. This document will often send the user to the base Hybrid AI 285 platform guide as its main purpose is to show the main differences required to implement Cisco networking and Nexus dashboard.
The offering is based on the NVIDIA 2-8-5 PCIe-optimized configuration — 2x CPUs, 8x GPUs, and 5x network adapters — and is ideally suited for medium (per GPU) to large (per node) Inference use cases, and small-to-large model training or fine-tuning, depending on chosen scale. It combines market leading Lenovo ThinkSystem GPU-rich servers with NVIDIA Hopper or Blackwell GPUs, Cisco networking and enables the use of the NVIDIA AI Enterprise software stack with NVIDIA Blueprints.
Figure 1. Lenovo Hybrid AI 285 platform overview with Cisco
Did you know?
The same team of HPC and AI experts that created the Lenovo EveryScale OVX solution, as deployed for NVIDIA Omniverse Cloud, brings the Lenovo Hybrid AI 285 with Cisco networkingto market.
Following their excellent experience with Lenovo on Omniverse, NVIDIA has once again chosen Lenovo technology as the foundation for the development and test of their NVIDIA AI Enterprise Reference Architecture (ERA).
Lenovo Hybrid AI 285 with Cisco Networking
1
Overview
The Lenovo Hybrid AI 285 Platform with Cisco Networking scales from a Starter Kit environment with between 4-32 PCIe GPUs to a Scalable Unit Deployment (SU) with four servers and 32 GPUs in each SU and up to 3 Scalable Units with 12 Servers and 96 GPUs. See figure below for a sizing overview.
Figure 2. Lenovo Hybrid AI 285 with Cisco Networking scaling from Starter Kit to 96 GPUs The figure below shows the networking architecture of the platform deployed with 96 GPUs.
Figure 3. Lenovo Hybrid AI 285 with Cisco Networking platform with 3 Scalable Units
Lenovo Hybrid AI 285 with Cisco Networking
2
Components
The main hardware components of Lenovo Hybrid AI platforms are Compute nodes and the Networking infrastructure. As an integrated solution they can come together in either a Lenovo EveryScale Rack (Machine Type 1410) or Lenovo EveryScale Client Site Integration Kit (Machine Type 7X74). Topics in this section:
AI Compute Node SR675 V3 Service Nodes SR635 V3 Cisco Networking Lenovo EveryScale Solution AI Compute Node SR675 V3 The AI Compute Node leverages the Lenovo ThinkSystem SR675 V3 GPU-rich server.
Figure 4. Lenovo ThinkSystem SR675 V3 in 8DW PCIe Setup The SR675 V3 is a 2-socket 5th Gen AMD EPYC 9005 server supporting up to 8 PCIe DW GPUs with up to 5 network adapters in a 3U rack server chassis. This makes it the ideal choice for NVIDIA’s 2-8-5 configuration requirement.
Lenovo Hybrid AI 285 with Cisco Networking
3
Figure 5. Lenovo ThinkSystem SR675 V3 in 8DW PCIe Setup The SR675 V3 is configured as the 285 AI compute node as shown in the figure below.
Figure 6. AI Compute Node Block Diagram
Lenovo Hybrid AI 285 with Cisco Networking
4
The AI Compute node is configured with two AMD EPYC 9535 64 Core 2.4 GHz processors with an all-core boost frequency of 3.5GHz. Besides providing consistently more than 2GHz frequency this ensures that with 7 Multi Instance GPUs (MIG) on 8 physical GPUs there are 2 Cores available per MIG plus a few additional Cores for Operating System and other operations.
With 12 memory channels per processor socket the AMD based server provides superior memory bandwidth versus competing Intel-based platforms ensuring highest performance. Leveraging 64GB 6400MHz Memory DIMMs for a total of 1.5TB of main memory providing 192GB memory per GPU or a minimum of 1.5X the H200 NVL GPU memory.
The GPUs are connected to the CPUs via two PCIe Gen5 switches, each supporting up to four GPUs. With the NVIDIA H200 NVL PCIe GPU , the four GPUs are additionally interconnected through an NVLink bridge, creating a unified memory space. In an entry configuration with two GPUs per PCIe switch, the ThinkSystem SR675 V3 uniquely supports connecting all four GPUs with an NVLink bridge for maximized shared memory, thereby accommodating larger inference models, rather than limiting the bridge to two GPUs. With the RTX PRO 6000 Blackwell Server Edition, no NVLink bridge is applicable, same applies to configurations with the L40S.
Key difference from the base platform : For the 2-8-5 architecture with Cisco networking the AI Compute node leverages NVIDIA CX-7s for both the East-West and the North South communication. This is a key difference in the AI compute node configuration compared to the base 285 platform with NVIDIA networking. This is done primarily because, as of now, Cisco switching does not work with NVIDIA’s dynamic load balancing technology within Spectrum-X, leveraged by their Bluefield-3 cards. This will change in future updates of this document as that technology is onboarded by Cisco and Lenovo brings in the new Silicon One 800GbE switch.
The Ethernet adapters for the Compute (East-West) Network are directly connected to the GPUs via PCIe switches minimizing latency and enabling NVIDIA GPUDirect and GPUDirect Storage operation. For pure Inference workload they are optional, but for training and fine-tuning operation they should provide at least 200Gb/s per GPU.
Finally, the system is completed by local storage with two 960GB Read Intensive M.2 in RAID1 configuration for the operating system and four 3.84TB Read Intensive E3.S drives for local application data.
GPU selection
The Hybrid AI 285 platform is designed to handle any of NVIDIA’s DW PCIe form factor GPUs including the new RTX PRO 6000 Blackwell Server Edition, the H200 NVL, L40S and the H100 NVL.
NVIDIA H200 NVL
The NVIDIA H200 NVL is a powerful GPU designed to accelerate both generative AI and highperformance computing (HPC) workloads. It boasts a massive 141GB of HBM3e memory, which is nearly double the capacity of its predecessor, the H100. This increased memory, coupled with a 4.8 terabytes per second (TB/s) memory bandwidth, enables the H200 NVL to handle larger and more complex AI models, like large language models (LLMs), with significantly improved performance. In addition, the H200 NVL is built with energy efficiency in mind, offering increased performance within a similar power profile as the H100, making it a cost-effective and environmentally conscious choice for businesses and researchers.
NVIDIA provides a 5-year license to NVIDIA AI Enterprise free-of-charge bundled with NVIDIA H200 NVL GPUs.
NVIDIA RTX PRO 6000 Blackwell Server Edition
Built on the groundbreaking NVIDIA Blackwell architecture, the NVIDIA RTX PROTM 6000 Blackwell Server Edition delivers a powerful combination of AI and visual computing capabilities to accelerate enterprise data center workloads. Equipped with 96GB of ultra- fast GDDR7 memory, the NVIDIA RTX PRO 6000 Blackwell provides unparalleled performance and flexibility to accelerate a broad range of use cases- from agentic AI, physical AI, and scientific computing to rendering, 3D graphics, and video.
Configuration
Lenovo Hybrid AI 285 with Cisco Networking
5
The following table lists the configuration of the AI Compute Node with H200 NVL GPUs.
Table 1. AI Compute Node
Part Number Product description
7D9RCTOLWW ThinkSystem SR675 V3
BR7F
ThinkSystem SR675 V3 8DW PCIe GPU Base
C3EF
ThinkSystem SR675 V3 System Board v2
C2AL
ThinkSystem AMD EPYC 9535 64C 300W 2.4GHz Processor
C0CK
ThinkSystem 64GB TruDDR5 6400MHz (2Rx4) RDIMM-A
BR7S
ThinkSystem SR675 V3 Switched 4×16 PCIe DW GPU Direct RDMA Riser
C3V3
ThinkSystem NVIDIA H200 NVL 141GB PCIe GPU Gen5 Passive GPU
C3V0
ThinkSystem NVIDIA 4-way bridge for H200 NVL
BR7H
ThinkSystem SR675 V3 2×16 PCIe Front IO Riser
C2RK
ThinkSystem SR675 V3 2 x16 Switch Cabled PCIe Rear IO Riser
BQBN
ThinkSystem NVIDIA ConnectX-7 NDR200/200GbE QSFP112 2-port PCIe Gen5 x16 Adapter
BM8X
ThinkSystem M.2 SATA/x4 NVMe 2-Bay Adapter
BT7P
ThinkSystem Raid 540-8i for M.2/7MM NVMe boot Enablement
BXMH
ThinkSystem M.2 PM9A3 960GB Read Intensive NVMe PCIe 4.0 x4 NHS SSD
BTMB
ThinkSystem 1×4 E3.S Backplane
C1AB
ThinkSystem E3.S PM9D3a 3.84TB Read Intensive NVMe PCIe 5.0 x4 HS SSD
BK1E
ThinkSystem SR670 V2/ SR675 V3 OCP Enablement Kit
C5WW
ThinkSystem SR675 V3 Dual Rotor System High Performance Fan
BFD6
ThinkSystem SR670 V2/ SR675 V3 Power Mezzanine Board
BE0D
N+1 Redundancy With Over-Subscription
BKTJ
ThinkSystem 2600W 230V Titanium Hot-Swap Gen2 Power Supply
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
C3KA
ThinkSystem SR670 V2/SR675 V3 Heavy Systems Toolless Slide Rail Kit
BFNU
ThinkSystem SR670 V2/ SR675 V3 Intrusion Cable
BR7U
ThinkSystem SR675 V3 Root of Trust Module
BFTH
ThinkSystem SR670 V2/ SR675 V3 Front Operator Panel ASM
5PS7B09631 5Yr Premier NBD Resp + KYD SR675 V3
Quantity per system
1 1 2 24 2 8 2 1 2
1 1 2 1 2 1 5 1 1 4 4 1 1 1 1 1
Service Nodes SR635 V3
When deploying the Hybrid AI 285 platform in a sizing beyond beyond 2 AI compute nodes additional service nodes are recommended to manage the overall AI cluster environment.
Key difference from the base platform: Because the architecture for this platform does not yet leverage Spectrum-X, there is no need for Bluefields within the service nodes. For this reason the customer can leverage the lower cost SR635 V3 instead of the SR655 V3.
Two Management Nodes provide a high-availability for the System Management and Monitoring provided through NVIDIA Base Command Manager (BMC) as described further in the AI Software Stack chapter.
Lenovo Hybrid AI 285 with Cisco Networking
6
For the Container operations three Scheduling Nodes build the Kubernetes control plane providing redundant operations and quorum capability.
Figure 7. Lenovo ThinkSystem SR635 V3
The Lenovo ThinkSystem SR635 V3 is an optimal choice for a homogeneous host environment, featuring a single socket AMD EPYC 9335 with 32 cores operating at 3.0 GHz base with an all-core boost frequency of 4.0GHz. The system is fully equipped with twelve 32GB 6400MHz Memory DIMMs, two 960GB Read Intensive M.2 drives in RAID1 configuration for the operating system, and two 3.84TB Read Intensive U.2 drives for local data storage. Additionally, it includes a NVIDIA dual port CX7 adapter to connect the Service Nodes to the Converged Network.
Configuration
The following table lists the configuration of the Service Nodes.
Table 2. Service Nodes
Part Number Product description
7D9GCTO1WW Server : ThinkSystem SR635 V3 – 3yr Warranty
BLK4
ThinkSystem V3 1U 10×2.5″ Chassis
BVGL
Data Center Environment 30 Degree Celsius / 86 Degree Fahrenheit
C2AQ
ThinkSystem AMD EPYC 9335 32C 210W 3.0GHz Processor
BQ26
ThinkSystem SR645 V3/SR635 V3 1U High Performance Heatsink
C1PL
ThinkSystem 32GB TruDDR5 6400MHz (1Rx4) RDIMM-A
BC4V
Non RAID NVMe
C0ZU
ThinkSystem 2.5″ U.2 VA 3.84TB Read Intensive NVMe PCIe 5.0 x4 HS SSD
BPC9
ThinkSystem 1U 4x 2.5″ NVMe Gen 4 Backplane
B5XJ
ThinkSystem M.2 SATA/NVMe 2-Bay Adapter
BTTY
M.2 NVMe
BKSR
ThinkSystem M.2 7450 PRO 960GB Read Intensive NVMe PCIe 4.0 x4 NHS SSD
BQBN
ThinkSystem NVIDIA ConnectX-7 NDR200/200GbE QSFP112 2-port PCIe Gen5 x16 Adapter
BLK7
ThinkSystem SR635 V3/SR645 V3 x16 PCIe Gen5 Riser 1
BLK9
ThinkSystem V3 1U MS LP+LP BF Riser Cage
BNFG
ThinkSystem 750W 230V/115V Platinum Hot-Swap Gen2 Power Supply v3
BH9M
ThinkSystem V3 1U Performance Fan Option Kit v2
BLKD
ThinkSystem 1U V3 10×2.5″ Media Bay w/ Ext. Diagnostics Port
7Q01CTS2WW 5Yr Premier NBD Resp + KYD SR635 V3
Quantity per system
1 1 1 1 12 1 2 1 1 1 2 1
1 1 2 7 1 1
Cisco Networking
Lenovo Hybrid AI 285 with Cisco Networking
7
The default setup of the Lenovo Hybrid AI 285 platform leverages Cisco Networking with the Nexus 9364DGX2A for the Converged and Compute Network and the Nexus 9300-FX3 for the Management Network.
Cisco Nexus 9300-GX2A Series Switches
The Cisco Nexus 9364D-GX2A is a 2-rack-unit (2RU) switch that supports 25.6 Tbps of bandwidth and 8.35 bpps across 64 fixed 400G QSFP-DD ports and 2 fixed 1/10G SFP+ ports. QSFP-DD ports also support native 200G (QSFP56), 100G (QSFP28), and 40G (QSFP+). Each port can also support 4 x 10G, 4 x 25G, 4 x 50G, 4 x 100G, and 2 x 200G breakouts.
It supports flexible configurations, including 128 ports of 200GbE or 256 ports of 100/50/25/10GE ports accommodating diverse AI/ML cluster requirements.
Figure 8. Nexus 9364D-GX2A
TheConverged (North-South) Networkhandles storage and in-band management, linking the Enterprise IT environment to the Agentic AI platform. Built on Ethernet with RDMA over Converged Ethernet (RoCE), it supports current and new cloud and storage services as outlined in the AI Compute node configuration.
In addition to providing access to the AI agents and functions of the AI platform, this connection is utilized for all data ingestion from the Enterprise IT data during indexing and embedding into the Retrieval-Augmented Generation (RAG) process. It is also used for data retrieval during AI operations.
The Storage connectivity is exactly half that and described in the Storage Connectivity chapter.
The Compute (East-West) Network facilitates application communication between the GPUs across the Compute nodes of the AI platform. It is designed to achieve minimal latency and maximal performance using a rail-optimized, fully non-blocking fat tree topology with Cisco Nexus 9300 series switches.
Cisco Nexus 9000 series data Center switches deliver purpose-built networking solutions designed specifically to address these challenges, providing the foundation for scalable, high-performance AI infrastructures that accelerate time-to-value while maintaining operational efficiency and security. Built on Cisco’s custom Cloud Scale and Silicon One ASICs, these switches provide a comprehensive solution for AI-ready data centers.
Tip:In a pure Inference use case, the Compute Network is typically not necessary, but for training and fine-tuning operations it is a crucial component of the solution.
For configurations of up to five Scalable Units, the Compute and Converged Network are integrated utilizing the same switches. When deploying more than five units, it is necessary to separate the fabric.
The following table lists the configuration of the Cisco Nexus 9364D-GX2A.
Table 3. Cisco Nexus 9364D-GX2A configuration
Part Number 7DLKCTO1WW C5P0 C6FK 6252 C1P1TN9300XF2-5Y
Description Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A) Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A) Mode selection between ACI and NXOS (MODE-NXOS) 2.5m, 16A/100-250V, C19 to C20 Jumper Cord 5 Years (60 months) Cisco software Premier license
Quantity 2 2 4 2
Cisco Nexus 9300-FX3 Series Switch
Lenovo Hybrid AI 285 with Cisco Networking
8
The Cisco Nexus 93108TC-FX3P is a high-performance, fixed-port switch designed for modern data centers. It features 48 ports of 100M/1/2.5/5/10GBASE-T, providing flexible connectivity options for various network configurations. Additionally, it includes 6 uplink ports that support 40/100 Gigabit Ethernet QSFP28, ensuring high-speed data transfer and scalability.
Built on Cisco’s CloudScale technology, the 93108TC-FX3P delivers exceptional performance with a bandwidth capacity of 2.16 Tbps and the ability to handle up to 1.2 billion packets per second (Bpps).
This switch also supports advanced features such as comprehensive security, telemetry, and automation capabilities, which are essential for efficient network management and troubleshooting.
Figure 9. Cisco Nexus 93108TC-FX3P
TheOut-of-Band (Management) Networkencompasses all AI Compute node and BlueField-3 DPU base management controllers (BMC) as well as the network infrastructure management.
The following table lists the configuration of the Cisco Nexus 93108TC-FX3P.
Table 4. Cisco Nexus 93108TC-FX3P configuration
Part Number 7DL8CTO1WW C5PB C6FK 6252 C1P1TN9300XF-5Y
Description Cisco Nexus 9300-FX3 Series Switch (N9K-C93108TC-FX3) Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A) Mode selection between ACI and NXOS (MODE-NXOS) 2.5m, 16A/100-250V, C19 to C20 Jumper Cord 5 Years (60 months) Cisco software Premier license
Quantity 2 2 4 2
Cisco Nexus Dashboard
Cisco Nexus Dashboard, included with every Cisco Nexus 9000 switch tiered licensing purchase, serves as a centralized hub that unifies disparate network configurations and views from multiple switches and data centers. For AI/ML fabric operations, it acts as the ultimate command center, from the initial setup of AI/ML fabric automation to continuous fabric analytics within few clicks.
Figure 10. AI/ML Fabric Workflow on Nexus Dashboard
Lenovo Hybrid AI 285 with Cisco Networking
9
Key capabilities such as congestion scoring, PFC/ECN statistics, and microburst detection empower organizations to proactively identify and address performance bottlenecks for their AI/ML backend infrastructure.
Figure 11. Congestion Score and Congestion Details on Nexus Dashboard
Advanced features like anomaly detection, event correlation, and suggested remediation ensure networks are not only resilient but also self-healing, minimizing downtime and accelerating issue resolution.
Figure 12. Anomaly Detection on Nexus Dashboard
Purpose-built to handle the high demands of AI workloads, the Cisco Nexus Dashboard transforms network management into a seamless, data-driven experience, unlocking the full potential of AI/ML fabrics.
Lenovo Hybrid AI 285 with Cisco Networking
10
Lenovo EveryScale Solution
The Server and Networking components and Operating System can come together as a Lenovo EveryScale Solution. It is a framework for designing, manufacturing, integrating and delivering data center solutions, with a focus on High Performance Computing (HPC), Technical Computing, and Artificial Intelligence (AI) environments.
Lenovo EveryScale provides Best Recipe guides to warrant interoperability of hardware, software and firmware among a variety of Lenovo and third-party components.
Addressing specific needs in the data center, while also optimizing the solution design for application performance, requires a significant level of effort and expertise. Customers need to choose the right hardware and software components, solve interoperability challenges across multiple vendors, and determine optimal firmware levels across the entire solution to ensure operational excellence, maximize performance, and drive best total cost of ownership.
Lenovo EveryScale reduces this burden on the customer by pre-testing and validating a large selection of Lenovo and third-party components, to create a “Best Recipe” of components and firmware levels that work seamlessly together as a solution. From this testing, customers can be confident that such a best practice solution will run optimally for their workloads, tailored to the client’s needs.
In addition to interoperability testing, Lenovo EveryScale hardware is pre-integrated, pre-cabled, pre-loaded with the best recipe and optionally an OS-image and tested at the rack level in manufacturing, to ensure a reliable delivery and minimize installation time in the customer data center.
Scalability
A fundamental principle of the solution design philosophy is its ability to support any scale necessary to achieve a particular objective.
In a typical Enterprise AI deployment initially the AI environment is being used with a single use case, like for example an Enterprise RAG pipeline which can connect a Large Language Model (LLM) to Enterprise data for actionable insights grounded in relevant data.
In its simplest form, leveraging the NVIDIA Blueprint for Enterprise RAG pipeline involves three NVIDIA Inference Microservices: a Retriever, a Reranker, and the actual LLM. This setup requires a minimum of three GPUs.
Lenovo Hybrid AI 285 with Cisco Networking
11
Figure 13. NVIDIA Blueprint Architecture Diagram
As the deployment of AI within the company continues to grow, the AI environment will be adapted to incorporate additional use cases, including Assistants or AI Agents. Additionally, it has the capacity to scale to support an increasing number of Microservices. Ultimately, most companies will maintain multiple AI environments operating simultaneously with their AI Agents working in unison.
The Lenovo Hybrid AI 285 with Cisco Networking platform has been designed to meet the customer where they are at with their AI application and then seamlessly scale with them through their AI integration. This is achieved through the introduction of the following:
Entry and AI Starter Kit Deployments Scalable Unit Deployment Custom Deployment
A visual representation of the sizing and scaling of the platform is shown in the figure below.
Lenovo Hybrid AI 285 with Cisco Networking
12
Figure 14. Lenovo Hybrid AI 285 with Cisco Networking Scaling
Entry and AI Starter Kit Deployments
Entry deployment sizings are for customers that want to deploy their initial AI factory with 4-16x GPUs. Entry deployments have one or two SR675 V3 servers, with 8x GPUs per server (AI Compute Nodes). With two servers configured, the two servers are connected directly via the installed NVIDIA ConnectX-7 or NVIDIA BlueField adapters.
If additional networking is required or additional storage is required, then use the AI Starter Kit deployment, which supports up to 4x servers and up to 32x GPUs. The AI Starter Kit uses NVIDIA networking switches and ThinkSystem DM or DG external storage.
The following sections describe these deployments:
Entry sizing AI Starter Kits
Entry sizing
Entry sizing starts with a single AI Compute node, equipped with four GPUs. Such entry deployments are ideal for development, application trials, or small-scale use, reducing hardware costs, control plane overhead, and networking complexity. With all components on one node, management and maintenance are simplified.
Entry sizing can also support two AI Compute nodes, directly connected together and without the need for external networking switches, to scale up to 16 GPUs if fully populated (2 nodes, 8x GPUs per node). The two nodes connect to the rest of your data center using existing networking in your data center.
Lenovo Hybrid AI 285 with Cisco Networking
13
Figure 15. Entry Deployment Rack View
Table 5. Entry sizing
Compute Network adapters per server
4-8x GPUs 1x SR675 V3 Minimum ratio of 1 CX7 per 2 GPUs
8-16x GPUs 2x SR675 V3 Minimum ratio of 1 CX7 per 2 GPUs
AI Starter Kits
For customers who want storage and/or networking in the Entry sizing, Lenovo and Cisco worked to develop AI Starter Kits with Cisco networking which allows up to 32 GPUs across 4 nodes, slightly more than the base 285 starter kit sizing which allows for up to only 24 GPUs. This sizing is for customers who do not plan to scale above 32 GPUs in the near future but still need an end-to-end solution for compute and storage.
Networking between the nodes is implemented using the Cisco 9332D-GX2B 200GbE switches and NVIDIA ConnectX-7 dual-port 200Gb adapters in each server.
Storage is implemented using either ThinkSystem DM or ThinkSystem DG Storage Arrays. Features include:
Easy to deploy and scale for performance or capacity Unified file, object, and block eliminates AI data silos High performance NVMe flash and GPUdirect enable faster time to insights Confidently use production data to fine tune models with advanced data management features
The table and figure below show the hardware involved in various sizes of AI Starter Kit deployments.
Lenovo Hybrid AI 285 with Cisco Networking
14
Table 6. AI Starter Kit sizing with Cisco Networking
Compute Storage Network adapters per server Networking
4-8x GPUs 1x SR675 V3 DG5200 5x CX-7 9332D-GX2B 93108TC-FX3P
8-16x GPUs 2x SR675 V3 DM7200F 5x CX-7 9332D-GX2B 93108TC-FX3P
32x GPUs 4x SR675 V3 DM7200F 5x CX-7 9332D-GX2B 93108TC-FX3P
Figure 16. AI Starter Kits
Lenovo Hybrid AI 285 with Cisco Networking
15
Scalable Unit Deployment
For configurations beyond two nodes, it is advisable to deploy a full Scalable Unit along with the necessary network and service infrastructure, providing a foundation for further growth in enterprise use cases.
The fist SU consists of up to four AI Compute nodes, minimum five service nodes, and networking switches. When additional AI Compute Nodes are required, additional SUs of four AI Compute Nodes can be added.
Figure 17. Scalable Unit Deployment
Networking is implemented using Cisco 93108TC-FX3P switches and CX-7 adapters in the AI Compute Nodes. The combination of these two pieces allows the user to take advantage of NVIDIA’s Spectrum-X networking, an Ethernet platform that delivers the highest performance for AI, machine learning, and natural language processing.
The networking decision depends on whether the platform is designed to support up to three Scalable Units in total, and whether it will handle exclusively inference workloads or also encompass future fine-tuning and retraining activities. Subsequently, the solution can be expanded seamlessly without downtime by incorporating additional Scalable Units, ultimately reaching a total of three as needed.
Custom Deployment
For high-end scenarios requiring more than eight scalable units, the network can be custom designed to any required size. Lenovo will develop a fully bespoke solution tailored to match the workflow and workload requirements in that case.
Performance
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
Lenovo Hybrid AI 285 with Cisco Networking
16
AI Software Stack
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
Storage Connectivity
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
Lenovo AI Center of Excellence
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
AI Services
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
Lenovo TruScale
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
Lenovo Financial Services
This document is meant to be used in tandem with the Hybrid AI 285 platform guide please see this section there.
Bill of Materials – 3 Scalable Unit (3 SU)
This section provides an example Bill of Materials (BoM) of one Scaleable Unit (SU) deployment with NVIDIA Spectrum-X.
This example BoM includes:
12x Lenovo ThinkSystem SR675 V3 with 8x NVIDIA H200 NVL GPUs per server (4 Servers/Scalable Unit) 5x Lenovo ThinkSystem SR635 V3 2x Cisco 9364D-GX2A Switches 2x Cisco 93108TC-FX3P Switches
Storage is optional and not included in this 3 SU BoM.
In this section:
3SU: ThinkSystem SR675 V3 BoM 3SU: ThinkSystem SR635 V3 BoM 3SU: Cisco 9364D-GX2A Switch BoM 3SU: Cisco 93108TC-FX3P Switch BoM 3SU: Power Distribution Unit (PDU) BoM 3SU: Rack Cabinet BoM 3SU: XClarity Software BoM 3SU: Cables and Transceivers BoM
Lenovo Hybrid AI 285 with Cisco Networking
17
3SU: ThinkSystem SR675 V3 BoM
Table 7. ThinkSystem SR675 V3 BoM
Part Number Product Description
Qty per System
7D9RCTOLWW ThinkSystem SR675 V3
BR7F
ThinkSystem SR675 V3 8DW PCIe GPU Base
1
C3EF
ThinkSystem SR675 V3 System Board v2
1
C2AL
ThinkSystem AMD EPYC 9535 64C 300W 2.4GHz Processor
2
C0CK
ThinkSystem 64GB TruDDR5 6400MHz (2Rx4) RDIMM-A
24
BR7S
ThinkSystem SR675 V3 Switched 4×16 PCIe DW GPU Direct RDMA Riser 2
C3V3
ThinkSystem NVIDIA H200 NVL 141GB PCIe GPU Gen5 Passive GPU 8
C3V0
ThinkSystem NVIDIA 4-way bridge for H200 NVL
2
BR7H
ThinkSystem SR675 V3 2×16 PCIe Front IO Riser
1
C2RK
ThinkSystem SR675 V3 2 x16 Switch Cabled PCIe Rear IO Riser
2
BQBN
ThinkSystem NVIDIA ConnectX-7 NDR200/200GbE QSFP112 2-port PCIe 5 Gen5 x16 Adapter
BM8X
ThinkSystem M.2 SATA/x4 NVMe 2-Bay Adapter
1
BT7P
ThinkSystem Raid 540-8i for M.2/7MM NVMe boot Enablement
1
BXMH
ThinkSystem M.2 PM9A3 960GB Read Intensive NVMe PCIe 4.0 x4 NHS 2 SSD
BTMB
ThinkSystem 1×4 E3.S Backplane
1
C1AB
ThinkSystem E3.S PM9D3a 3.84TB Read Intensive NVMe PCIe 5.0 x4 HS 2 SSD
BK1E
ThinkSystem SR670 V2/ SR675 V3 OCP Enablement Kit
1
C5WW
ThinkSystem SR675 V3 Dual Rotor System High Performance Fan
5
BFD6
ThinkSystem SR670 V2/ SR675 V3 Power Mezzanine Board
1
BE0D
N+1 Redundancy With Over-Subscription
1
BKTJ
ThinkSystem 2600W 230V Titanium Hot-Swap Gen2 Power Supply
4
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
4
C3KA
ThinkSystem SR670 V2/SR675 V3 Heavy Systems Toolless Slide Rail Kit 1
BFNU
ThinkSystem SR670 V2/ SR675 V3 Intrusion Cable
1
BR7U
ThinkSystem SR675 V3 Root of Trust Module
1
BFTH
ThinkSystem SR670 V2/ SR675 V3 Front Operator Panel ASM
1
5PS7B09631 5Yr Premier NBD Resp + KYD SR675 V3
1
Total Qty 12 12 12 24 288 24 96 24 12 24 60
12 12 24
12 24
12 60 12 12 48 48 12 12 12 12 12
Lenovo Hybrid AI 285 with Cisco Networking
18
3SU: ThinkSystem SR635 V3 BoM
Table 8. ThinkSystem SR635 V3 BoM
Part Number Product Description
Qty per System
7D9GCTO1WW Server : ThinkSystem SR635 V3 – 3yr Warranty
BLK4
ThinkSystem V3 1U 10×2.5″ Chassis
1
BVGL
Data Center Environment 30 Degree Celsius / 86 Degree Fahrenheit
1
C2AQ
ThinkSystem AMD EPYC 9335 32C 210W 3.0GHz Processor
1
BQ26
ThinkSystem SR645 V3/SR635 V3 1U High Performance Heatsink
1
C1PL
ThinkSystem 32GB TruDDR5 6400MHz (1Rx4) RDIMM-A
12
BC4V
Non RAID NVMe
1
C0ZU
ThinkSystem 2.5″ U.2 VA 3.84TB Read Intensive NVMe PCIe 5.0 x4 HS 2 SSD
BPC9
ThinkSystem 1U 4x 2.5″ NVMe Gen 4 Backplane
1
B5XJ
ThinkSystem M.2 SATA/NVMe 2-Bay Adapter
1
BTTY
M.2 NVMe
1
BKSR
ThinkSystem M.2 7450 PRO 960GB Read Intensive NVMe PCIe 4.0 x4 2 NHS SSD
BQBN
ThinkSystem NVIDIA ConnectX-7 NDR200/200GbE QSFP112 2-port PCIe 1 Gen5 x16 Adapter
BLK7
ThinkSystem SR635 V3/SR645 V3 x16 PCIe Gen5 Riser 1
1
BLK9
ThinkSystem V3 1U MS LP+LP BF Riser Cage
1
BNFG
ThinkSystem 750W 230V/115V Platinum Hot-Swap Gen2 Power Supply v3 2
BH9M
ThinkSystem V3 1U Performance Fan Option Kit v2
7
BLKD
ThinkSystem 1U V3 10×2.5″ Media Bay w/ Ext. Diagnostics Port
1
7Q01CTS2WW 5Yr Premier NBD Resp + KYD SR635 V3
1
Total Qty 5 5 5 5 5 60 5 10
5 5 5 10
5
5 5 10 35 5 5
3SU: Cisco 9364D-GX2A Switch BoM
Table 9. Cisco 9364D-GX2A Switch BoM
Part Number
Product Description
7DLKCTO1WW Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A)
C5P0
Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A)
C6FK
Mode selection between ACI and NXOS (MODE-NXOS)
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
C1P1TN9300XF2- 5 Years (60 months) Cisco software Premier license 5Y
Total Qty
2 2 4 2
Lenovo Hybrid AI 285 with Cisco Networking
19
3SU: Cisco 93108TC-FX3P Switch BoM
Table 10. Cisco 93108TC-FX3P Switch BoM
Part Number Description
7DL8CTO1WW Cisco Nexus 9300-FX3 Series Switch (N9K-C93108TC-FX3)
C5PB
Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A)
C6FK
Mode selection between ACI and NXOS (MODE-NXOS)
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
C1P1TN9300XF- 5 Years (60 months) Cisco software Premier license 5Y
Total Qty 2 2 4 2
3SU: Power Distribution Unit (PDU) BoM
Table 11. Power Distribution Unit (PDU) BoM
Part Number Product Description
7DGMCTO1WW -SB- 0U 18 C13/C15 and 18 C13/C15/C19 Switched and Monitored 63A 3 Phase WYE PDU v2
Qty per System
Total Qty
2
3SU: Rack Cabinet BoM
Table 12. Rack Cabinet BoM
Part Number 1410O42 BHC4 BJPD BHC7 BJPA 5AS7B07693
Product Description Lenovo EveryScale 42U Onyx Heavy Duty Rack Cabinet Lenovo EveryScale 42U Onyx Heavy Duty Rack Cabinet 21U Front Cable Management Bracket ThinkSystem 42U Onyx Heavy Duty Rack Side Panel ThinkSystem 42U Onyx Heavy Duty Rack Rear Door Lenovo EveryScale Rack Setup Services
Qty per System
1 2 2 1 1
Total Qty 1 1 2 2 1 1
3SU: XClarity Software BoM
Table 13. XClarity Software BoM
Part Number SBCV 00MT203
Product Description Lenovo XClarity XCC2 Platinum Upgrade (FOD) Lenovo XClarity Pro, Per Managed Endpoint w/5 Yr SW S&S
Qty per System
Total Qty 3 5
Lenovo Hybrid AI 285 with Cisco Networking
20
3SU: Cables and Transceivers BoM
Table 14. Cables and Transceivers BoM
Part Number
P01DQ300707-R Example from luxsharetech.com
QSFP-200CU3M From Cisco
QDD-400CU2M From Cisco
7Z57A03562
Product Description 400G QSFP-DD to 2 x 200G QSFP56 Active Optical Breakout Cable 7M
200G QSFP56 to QSFP56, Passive Copper Cable 3m 400 Gbps, QSFP-DD to QSFPDD, DAC, 2M Lenovo 3M Passive 100G QSFP28 DAC Cable
Total Qty 48
10 10 12
Bill of Materials Starter Kit
This section provides an example Bill of Materials (BoM) of Starter Kit deployment with Cisco switches.
This example BoM includes:
4x Lenovo ThinkSystem SR675 V3 with 8 × NVIDIA H200 NVL GPUs per server (The servers can be configured with less GPUs for an underpopulated configuration) 2x Cisco 9364D-GX2A Switches 2x Cisco 93108TC-FX3P Switches 1x Lenovo ThinkSystem DM7200 Storage
In this section:
Starter: ThinkSystem SR675 V3 BoM Starter: ThinkSystem DM7200F Storage BoM Starter: Cisco 9364D-GX2A Switch BoM Starter: Cisco 93108TC-FX3P Switch BoM Starter: Cables and Transceivers BoM
Lenovo Hybrid AI 285 with Cisco Networking
21
Starter: ThinkSystem SR675 V3 BoM
Table 15. ThinkSystem SR675 V3 BoM
Part Number Product Description
Qty per System
7D9RCTOLWW ThinkSystem SR675 V3
BR7F
ThinkSystem SR675 V3 8DW PCIe GPU Base
1
C3EF
ThinkSystem SR675 V3 System Board v2
1
C2AL
ThinkSystem AMD EPYC 9535 64C 300W 2.4GHz Processor
2
C0CK
ThinkSystem 64GB TruDDR5 6400MHz (2Rx4) RDIMM-A
24
BR7S
ThinkSystem SR675 V3 Switched 4×16 PCIe DW GPU Direct RDMA Riser 2
C3V3
ThinkSystem NVIDIA H200 NVL 141GB PCIe GPU Gen5 Passive GPU 8
C3V0
ThinkSystem NVIDIA 4-way bridge for H200 NVL
2
BR7H
ThinkSystem SR675 V3 2×16 PCIe Front IO Riser
1
C2RK
ThinkSystem SR675 V3 2 x16 Switch Cabled PCIe Rear IO Riser
2
BQBN
ThinkSystem NVIDIA ConnectX-7 NDR200/200GbE QSFP112 2-port PCIe 5 Gen5 x16 Adapter
BM8X
ThinkSystem M.2 SATA/x4 NVMe 2-Bay Adapter
1
BT7P
ThinkSystem Raid 540-8i for M.2/7MM NVMe boot Enablement
1
BXMH
ThinkSystem M.2 PM9A3 960GB Read Intensive NVMe PCIe 4.0 x4 NHS 2 SSD
BTMB
ThinkSystem 1×4 E3.S Backplane
1
C1AB
ThinkSystem E3.S PM9D3a 3.84TB Read Intensive NVMe PCIe 5.0 x4 HS 2 SSD
BK1E
ThinkSystem SR670 V2/ SR675 V3 OCP Enablement Kit
1
C5WW
ThinkSystem SR675 V3 Dual Rotor System High Performance Fan
5
BFD6
ThinkSystem SR670 V2/ SR675 V3 Power Mezzanine Board
1
BE0D
N+1 Redundancy With Over-Subscription
1
BKTJ
ThinkSystem 2600W 230V Titanium Hot-Swap Gen2 Power Supply
4
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
4
C3KA
ThinkSystem SR670 V2/SR675 V3 Heavy Systems Toolless Slide Rail Kit 1
BFNU
ThinkSystem SR670 V2/ SR675 V3 Intrusion Cable
1
BR7U
ThinkSystem SR675 V3 Root of Trust Module
1
BFTH
ThinkSystem SR670 V2/ SR675 V3 Front Operator Panel ASM
1
5PS7B09631 5Yr Premier NBD Resp + KYD SR675 V3
1
Total Qty 4 4 4 8 96 8 32 8 4 4 8
16 4 4
8 4
8 4 20 4 4 16 16 4 4 4 4
Lenovo Hybrid AI 285 with Cisco Networking
22
Starter: ThinkSystem DM7200F Storage BoM
Table 16. ThinkSystem DM7200F Storage BoM
Part Number Product Description
Part Number Product Description
7DJ3CTO1WW Controller : Lenovo ThinkSystem DM7200F All Flash Array
BF3C
Lenovo ThinkSystem Storage 2U NVMe Chassis
BWU8
Storage Complete Bundle Offering
C4A4
Lenovo ThinkSystem DM7200 Series Controller, 128GB
C3XK
Lenovo ThinkSystem 30.7TB (2x 15.36TB NVMe SED) Drive Pack
C4AA
Lenovo ThinkSystem Storage 100Gb 2 port Ethernet, RoCE Adapter (Host/Cluster)
C4AA
Lenovo ThinkSystem Storage 100Gb 2 port Ethernet, RoCE Adapter (Host/Cluster)
C4AG
Lenovo ThinkSystem Storage ONTAP 9.16 Software Encryption – IPAv2
B0W1
3 Years
C6S2
Premier 24×7 4hr Response and KYD
C48T
Configured with Lenovo ThinkSystem DM7200F 3Yr Warranty
BWUE
Storage Encryption Bundle License Key – RoW
BWUC
Storage Complete Bundle License Key
C49B
Lenovo ThinkSystem DM/DG Series Jupiter All Flash Ship Kit – Multi-Language
B6Y6
Lenovo ThinkSystem NVMe Rail Kit 4 post
7S0SCTOMWW ThnkSys DM7200F 7DJ3 SWLicense
SDJE
Lenovo ThinkSystem DM7200F NVMe SSD Unified Complete SW License with 3 Years Support, Per 0.1TB
5641PX3
XClarity Pro, Per Endpoint w/3 Yr SW S&S
1340
Lenovo XClarity Pro, Per Managed Endpoint w/3 Yr SW S&S
3444
Registration only
5WS7C06619 3Yr Premier 24×7 4Hr Resp DM7200F+KYD
5WS7C07259 3Yr Premier 24×7 4Hr Resp+KYD (0.1TB NVMe TLC)
Total Qty Qty 1 1 1 2 9 2 4 1 1 1 1 2 2 1 1 1 2765
1 1 1 1 2765
Starter: Cisco 9364D-GX2A Switch BoM
Table 17. Cisco 9364D-GX2A Switch BoM
Part Number
Product Description
7DLKCTO1WW Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A)
C5P0
Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A)
C6FK
Mode selection between ACI and NXOS (MODE-NXOS)
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
C1P1TN9300XF2- 5 Years (60 months) Cisco software Premier license 5Y
Total Qty
2 2 4 2
Lenovo Hybrid AI 285 with Cisco Networking
23
Starter: Cisco 93108TC-FX3P Switch BoM
Table 18. Cisco 93108TC-FX3P Switch BoM
Part Number Description
7DL8CTO1WW Cisco Nexus 9300-FX3 Series Switch (N9K-C93108TC-FX3)
C5PB
Cisco Nexus 9300-GX2 Series Switch (N9K-C9364D-GX2A)
C6FK
Mode selection between ACI and NXOS (MODE-NXOS)
6252
2.5m, 16A/100-250V, C19 to C20 Jumper Cord
C1P1TN9300XF- 5 Years (60 months) Cisco software Premier license 5Y
Total Qty 2 2 4 2
Starter: Cables and Transceivers BoM
Table 19. Cables and Transceivers BoM
Part Number
QSFP-200CU3M From Cisco
QDD-400CU2M From Cisco
7Z57A03562
Product Description 200G QSFP56 to QSFP56, Passive Copper Cable 3m
400 Gbps, QSFP-DD to QSFPDD, DAC, 2M
Lenovo 3M Passive 100G QSFP28 DAC Cable
Total Qty 20
10
12
Seller training courses
The following sales training courses are offered for employees and partners (login required). Courses are listed in date order.
1. VTT AI: Introducing the Lenovo Hybrid AI 285 Platform April 2025 2025-04-30 | 60 minutes | Employees Only
The Lenovo Hybrid AI 285 Platform enables enterprises of all sizes to quickly deploy AI infrastructures supporting use cases as either new greenfield environments or as an extension to current infrastructures. The 285 Platform enables the use of the NVIDIA AI Enterprise software stack. The AI Hybrid 285 platform is the perfect foundation supporting Lenovo Validated Designs. · Technical overview of the Hybrid AI 285 platform · AI Hybrid platforms as infrastructure frameworks for LVDs addressing data center-based AI solutions. · Accelerate AI adoption and reduce deployment risks
Tags: Artificial Intelligence (AI), Nvidia, Technical Sales, Lenovo Hybrid AI 285
Published: 2025-04-30 Length: 60 minutes
Start the training: Employee link: Grow@Lenovo
Course code: DVAI215
Related publications and links
Lenovo Hybrid AI 285 with Cisco Networking
24
Related publications and links
For more information, see these resources:
Lenovo EveryScale support page: https://datacentersupport.lenovo.com/us/en/solutions/ht505184 x-config configurator: https://lesc.lenovo.com/products/hardware/configurator/worldwide/bhui/asit/x-config.jnlp Implementing AI Workloads using NVIDIA GPUs on ThinkSystem Servers: https://lenovopress.lenovo.com/lp1928-implementing-ai-workloads-using-nvidia-gpus-on-thinksystemservers Making LLMs Work for Enterprise Part 3: GPT Fine-Tuning for RAG: https://lenovopress.lenovo.com/lp1955-making-llms-work-for-enterprise-part-3-gpt-fine-tuning-for-rag Lenovo to Deliver Enterprise AI Compute for NetApp AIPod Through Collaboration with NetApp and NVIDIA https://lenovopress.lenovo.com/lp1962-lenovo-to-deliver-enterprise-ai-compute-for-netapp-aipod-nvidia
Related product families
Product families related to this document are the following:
AI Servers Artificial Intelligence ThinkSystem SR635 V3 Server ThinkSystem SR675 V3 Server
Lenovo Hybrid AI 285 with Cisco Networking
25
Notices
Lenovo may not offer the products, services, or features discussed in this document in all countries. Consult your local Lenovo representative for information on the products and services currently available in your area. Any reference to a Lenovo product, program, or service is not intended to state or imply that only that Lenovo product, program, or service may be used. Any functionally equivalent product, program, or service that does not infringe any Lenovo intellectual property right may be used instead. However, it is the user’s responsibility to evaluate and verify the operation of any other product, program, or service. Lenovo may have patents or pending patent applications covering subject matter described in this document. The furnishing of this document does not give you any license to these patents. You can send license inquiries, in writing, to:
Lenovo (United States), Inc. 8001 Development Drive Morrisville, NC 27560 U.S.A. Attention: Lenovo Director of Licensing
LENOVO PROVIDES THIS PUBLICATION “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Some jurisdictions do not allow disclaimer of express or implied warranties in certain transactions, therefore, this statement may not apply to you.
This information could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein; these changes will be incorporated in new editions of the publication. Lenovo may make improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time without notice.
The products described in this document are not intended for use in implantation or other life support applications where malfunction may result in injury or death to persons. The information contained in this document does not affect or change Lenovo product specifications or warranties. Nothing in this document shall operate as an express or implied license or indemnity under the intellectual property rights of Lenovo or third parties. All information contained in this document was obtained in specific environments and is presented as an illustration. The result obtained in other operating environments may vary. Lenovo may use or distribute any of the information you supply in any way it believes appropriate without incurring any obligation to you.
Any references in this publication to non-Lenovo Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this Lenovo product, and use of those Web sites is at your own risk. Any performance data contained herein was determined in a controlled environment. Therefore, the result obtained in other operating environments may vary significantly. Some measurements may have been made on development-level systems and there is no guarantee that these measurements will be the same on generally available systems. Furthermore, some measurements may have been estimated through extrapolation. Actual results may vary. Users of this document should verify the applicable data for their specific environment.
© Copyright Lenovo 2025. All rights reserved.
This document, LP2236, was created or updated on June 17, 2025.
Send us your comments in one of the following ways:
Use the online Contact us review form found at: https://lenovopress.lenovo.com/LP2236
Send your comments in an e-mail to: comments@lenovopress.com
This document is available online at https://lenovopress.lenovo.com/LP2236.
Lenovo Hybrid AI 285 with Cisco Networking
26
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® Lenovo Hybrid AI Advantage ThinkAgile® ThinkSystem® XClarity®
The following terms are trademarks of other companies:
AMD and AMD EPYCTM are trademarks of Advanced Micro Devices, Inc.
Intel® is a trademark of Intel Corporation or its subsidiaries.
Linux® is the trademark of Linus Torvalds in the U.S. and other countries.
IBM® is a trademark of IBM in the United States, other countries, or both.
Other company, product, or service names may be trademarks or service marks of others.
Lenovo Hybrid AI 285 with Cisco Networking
27
Documents / Resources
 |
Lenovo Hybrid AI 285 with Cisco Networking [pdf] User Guide Hybrid AI 285 with Cisco Networking, Cisco Networking, Networking |