H200 GPU Server
Expanded memory and bandwidth for the largest models and most demanding workloads.
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 H200 GPU Server builds on the H100 architecture with substantially more memory and bandwidth — the difference that lets the largest models run on fewer nodes. Nexus Compute sources H200 systems for organizations whose model sizes or throughput requirements have outgrown the H100.
Who This Solution Is For
Business Benefits
Run larger models per node
Expanded memory lets the biggest models run without sharding across as many machines, simplifying operations.
Higher inference throughput
Greater memory bandwidth increases tokens-per-second on memory-bound inference workloads.
Fewer nodes, less fabric
Consolidating large models onto fewer nodes can reduce networking and operational complexity.
Sourcing guidance
We help you decide where the H200 premium is justified versus the H100.
Typical Business Use Cases
Very large language model inference and serving
Training workloads that benefit from expanded GPU memory
Consolidating large models onto fewer nodes
Memory-bandwidth-bound HPC and AI workloads
Industry Applications
Technical Overview
Built around NVIDIA H200 SXM5 GPUs with expanded HBM3e memory and bandwidth, full NVSwitch interconnect, dual server CPUs, multi-terabyte ECC memory, and InfiniBand networking for cluster scaling.
| GPU | NVIDIA H200 SXM5 (141GB HBM3e) |
| GPU Capacity | Up to 8 GPUs per node |
| GPU Interconnect | NVSwitch all-to-all |
| CPU | Dual AMD EPYC or Intel Xeon |
| System Memory | Up to 2TB ECC |
| Networking | InfiniBand NDR / 400GbE |
| Power | Redundant high-capacity PSUs |
| Form Factor | 8U rackmount |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Frequently Asked Questions
When is the H200 worth the premium over the H100?
When your models exceed H100 memory, when your inference is memory-bandwidth-bound, or when consolidating onto fewer nodes reduces operational cost. For workloads that fit comfortably on H100, the H100 is often better value.
Can H200 and H100 nodes coexist in one cluster?
Yes, with appropriate scheduling. We can advise on mixed-generation cluster design.
What are the facility requirements?
These are high-density, high-power systems requiring data-center-grade power and cooling. We confirm requirements during the quote.
Procurement Assistance
Source the H200 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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