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Lenovo ThinkSystem SR675 V3 — 8x NVIDIA H200 NVL

Eight H200 GPUs in 3U for large-model training and dense inference.

Full manufacturer warrantyAuthorized channel48-hour quote

We help you choose, configure, and deliver the right system — no obligation.

Lenovo ThinkSystem SR675 V3 — 8x NVIDIA H200 NVL — Lenovo enterprise hardware
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Lenovo ThinkSystem SR675 V3 — 8x NVIDIA H200 NVL hardware detail 1
Lenovo ThinkSystem SR675 V3 — 8x NVIDIA H200 NVL hardware detail 2
Lenovo ThinkSystem SR675 V3 — 8x NVIDIA H200 NVL hardware detail 3

Configuration at a Glance

GPU / Accelerator8x NVIDIA H200 NVL (141GB HBM3e each)
GPU InterconnectPCIe Gen5 switch + NVLink bridges, GPUDirect RDMA
CPU2x AMD EPYC 9005 (up to 160 cores total)
MemoryUp to 3TB DDR5-6400 (24 DIMM slots)

Tailored per engagement. Full technical overview below.

Configuration Options

Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.

GPU / Accelerator

8x NVIDIA H200 NVL (141GB HBM3e each)

Processor

2x AMD EPYC 9005 (up to 160 cores total)

Memory

Up to 3TB DDR5-6400 (24 DIMM slots)

Storage

Up to 6x EDSFF E1.S NVMe SSD

Overview

This ThinkSystem SR675 V3 is configured with eight NVIDIA H200 NVL Tensor Core GPUs and dual 5th Gen AMD EPYC processors for demanding generative-AI training and high-throughput inference. Nexus Compute specifies, builds, validates, and ships each system through Lenovo-authorized channels, backed by Lenovo warranty and XClarity management.

Who This Solution Is For

AI teams training and fine-tuning large language models
Enterprises consolidating GPU inference at scale
HPC groups needing maximum GPU memory per node
Platform teams standardized on Lenovo and AMD EPYC

Business Benefits

Massive GPU memory

Eight H200 GPUs deliver 1,128GB of HBM3e for the largest models without sharding overhead.

Dense 3U footprint

A full eight-way GPU node in 3U conserves rack space and simplifies data-center planning.

Authorized and warranted

Every system ships configured and tested through Lenovo channels with full manufacturer warranty.

Typical Business Use Cases

1

Large language model training and fine-tuning

2

High-throughput production inference

3

Retrieval-augmented generation pipelines

4

Mixed AI and HPC simulation

Industry Applications

AI & Machine LearningHigher Education & ResearchFinancial ServicesSaaS & SoftwareHPC

Technical Overview

The SR675 V3 is a 3U GPU-rich platform built on AMD EPYC 9005 'Turin' processors, hosting eight double-wide PCIe Gen5 H200 NVL GPUs across an integrated PCIe switch with GPUDirect RDMA. Air cooling and high-density power round out a node engineered for sustained accelerated computing.

GPU / Accelerator8x NVIDIA H200 NVL (141GB HBM3e each)
GPU InterconnectPCIe Gen5 switch + NVLink bridges, GPUDirect RDMA
CPU2x AMD EPYC 9005 (up to 160 cores total)
MemoryUp to 3TB DDR5-6400 (24 DIMM slots)
StorageUp to 6x EDSFF E1.S NVMe SSD
NetworkingOCP 3.0 + PCIe NICs (NDR InfiniBand / 400GbE optional)
Form Factor3U rackmount
PowerUp to 4x 2600W Titanium PSU (redundant)
WarrantyLenovo warranty (configurable terms)

Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.

Warranty, Support & Fulfillment

Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.

Enterprise Warranty

Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.

Authorized Channel

Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.

Lead Time & Deployment

48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.

Nationwide Fulfillment

Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.

Frequently Asked Questions

How does H200 differ from H100 for our workloads?

The H200 pairs the same Hopper compute with 141GB of faster HBM3e, so memory-bound LLM training and large-context inference see the biggest gains. We help confirm fit against your model sizes.

Can eight GPUs in one node replace a small cluster?

For many training and inference jobs a single eight-way node avoids inter-node networking entirely. We size node-versus-cluster against your throughput and scaling targets.

What networking do you recommend for multi-node scaling?

NDR 400Gb InfiniBand or 400GbE with GPUDirect RDMA is typical for east-west GPU traffic. We specify the fabric in the quote.

Hardware Assistance

Configure the Lenovo ThinkSystem SR675 V3 — 8x NVIDIA H200 NVL with Nexus Compute

Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.