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Nexus Compute

H200 GPU Server

Expanded memory and bandwidth for the largest models and most demanding workloads.

Full manufacturer warrantyAuthorized channel48-hour quote

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

H200 GPU Server — Nexus Compute enterprise hardware
H200 GPU Server hardware detail 1
H200 GPU Server hardware detail 2
H200 GPU Server hardware detail 3

Configuration at a Glance

GPUNVIDIA H200 SXM5 (141GB HBM3e)
GPU CapacityUp to 8 GPUs per node
GPU InterconnectNVSwitch all-to-all
CPUDual AMD EPYC or Intel Xeon

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

NVIDIA H200 SXM5 (141GB HBM3e)

Processor

Dual AMD EPYC or Intel Xeon

Memory

Up to 2TB ECC

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

Organizations serving very large language models
AI teams whose models exceed H100 memory limits
Inference platforms requiring maximum throughput per node
Research groups working at the frontier of model scale

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

1

Very large language model inference and serving

2

Training workloads that benefit from expanded GPU memory

3

Consolidating large models onto fewer nodes

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Memory-bandwidth-bound HPC and AI workloads

Industry Applications

AI & Machine LearningFinancial ServicesGovernment & Public SectorEducation & Research

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.

GPUNVIDIA H200 SXM5 (141GB HBM3e)
GPU CapacityUp to 8 GPUs per node
GPU InterconnectNVSwitch all-to-all
CPUDual AMD EPYC or Intel Xeon
System MemoryUp to 2TB ECC
NetworkingInfiniBand NDR / 400GbE
PowerRedundant high-capacity PSUs
Form Factor8U rackmount

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

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.

Hardware Assistance

Configure the H200 GPU Server 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.