H100 GPU Server
The proven data-center standard for large-scale AI training and inference.
We help you choose, source, and procure the right infrastructure — no obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Overview
The H100 GPU Server is built around NVIDIA's H100 — the established workhorse of enterprise AI. Its high-bandwidth memory and Transformer Engine make it the reference choice for serious training and high-throughput inference. Nexus Compute sources H100 systems and advises on the configuration that fits your workload and facility.
Who This Solution Is For
Business Benefits
Proven at enterprise scale
The H100 is the most widely deployed enterprise AI GPU, with mature software and broad workload validation.
High memory bandwidth
HBM memory dramatically accelerates transformer inference and training versus consumer GPUs.
Partitionable with MIG
Multi-Instance GPU lets one card serve several isolated workloads, improving utilization.
Advisory on allocation
Data-center GPUs are allocation-based; we help you navigate sourcing and timelines.
Typical Business Use Cases
Production large language model inference at scale
Foundation and fine-tuning model training
Multi-tenant GPU serving via MIG partitioning
High-bandwidth scientific and HPC workloads
Industry Applications
Technical Overview
Available in PCIe and SXM (NVSwitch) configurations from four to eight H100 GPUs, with dual server CPUs, multi-terabyte ECC memory, high-throughput NVMe, and 100/400GbE or InfiniBand networking.
| GPU | NVIDIA H100 (80GB HBM) — PCIe or SXM5 |
| GPU Capacity | 4–8 GPUs per node |
| GPU Interconnect | NVLink / NVSwitch (SXM) or PCIe |
| CPU | Dual AMD EPYC or Intel Xeon |
| System Memory | Up to 2TB ECC |
| Networking | 100/400GbE or InfiniBand HDR/NDR |
| Power | Redundant high-capacity PSUs |
| Form Factor | 4U–8U rackmount |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Frequently Asked Questions
PCIe or SXM5 — what is the difference?
SXM5 with NVSwitch provides far higher GPU-to-GPU bandwidth, important for multi-GPU training. PCIe is more flexible and cost-effective for inference and smaller configurations. We recommend based on your workload.
What lead time should I expect?
H100 supply is allocation-based and varies. We confirm realistic availability and timeline as part of your quote.
How does the H100 compare to the H200?
The H200 offers more memory and bandwidth, benefiting the largest models. The H100 remains excellent and often better value for many workloads. We help you weigh the trade-off.
Procurement Assistance
Source the H100 GPU Server with Nexus Compute
Tell us your requirements and a procurement specialist will help you specify, source, and quote the right configuration — typically within two business days. No obligation.
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