Lenovo ThinkSystem SR860 V3 — 4-Socket with 8x NVIDIA H100 NVL
Eight H100 NVL accelerators and four sockets for enterprise AI model training.
We help you choose, configure, and deliver the right system — no obligation.
Configuration at a Glance
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.
8x NVIDIA H100 NVL (94GB HBM3 each)
4x Intel Xeon Scalable (4th/5th Gen)
Up to 8TB DDR5 (96 DIMM slots)
NVMe hot-swap (configurable); M.2 boot
Overview
The ThinkSystem SR860 V3 is a 4U four-socket platform configured here with eight NVIDIA H100 NVL accelerators for large-scale model training and fine-tuning. Each build is integrated, thermally validated under sustained GPU load, and delivered warranty-backed through Lenovo-authorized channels.
Who This Solution Is For
Business Benefits
Dense training throughput
Eight H100 NVL accelerators in one node deliver the parallel compute needed for demanding training and fine-tuning runs.
Balanced CPU-to-GPU feed
Four Xeon sockets and abundant DDR5 keep data pipelines from starving the GPUs during training.
Enterprise serviceability
Lenovo warranty, XClarity management, and redundant power support continuous production training.
Typical Business Use Cases
LLM and foundation-model fine-tuning
Deep-learning training pipelines
Multi-GPU distributed training
Accelerated HPC and simulation
Industry Applications
Technical Overview
The SR860 V3 is a 4U four-socket server supporting up to eight double-wide GPUs across PCIe Gen5, here populated with eight NVIDIA H100 NVL accelerators bridged via NVLink. Up to 96 DDR5 DIMM slots and high-speed network adapters feed the accelerators, with the XClarity Controller managing the platform.
| GPU / Accelerator | 8x NVIDIA H100 NVL (94GB HBM3 each) |
| GPU Interconnect | NVLink bridges + PCIe Gen5 |
| CPU | 4x Intel Xeon Scalable (4th/5th Gen) |
| Memory | Up to 8TB DDR5 (96 DIMM slots) |
| Storage | NVMe hot-swap (configurable); M.2 boot |
| Networking / Fabric | Up to 400Gb InfiniBand / 200GbE adapters |
| Form Factor | 4U four-socket rackmount |
| Power | Redundant Titanium PSUs sized for 8-GPU load |
| Warranty | Lenovo 3-year (upgradeable to 5-year, on-site) |
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 the SR860 V3 compare to an HGX system for training?
HGX SXM platforms offer higher GPU-to-GPU bandwidth for the largest clusters; the PCIe-based SR860 V3 with H100 NVL is a strong fit for single-node and modest multi-node training where Lenovo standardization and serviceability matter. We advise based on model scale.
Can I start smaller and add GPUs later?
Yes — the chassis supports up to eight double-wide GPUs, so we can configure fewer accelerators now and expand within power and thermal limits later.
What networking do you recommend for multi-node training?
For distributed training we typically specify 400Gb InfiniBand or 200GbE RDMA adapters; we design the fabric to your node count and topology.
Hardware Assistance
Configure the Lenovo ThinkSystem SR860 V3 — 4-Socket with 8x NVIDIA H100 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.