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8 GPU AI Server

High-density GPU compute for serious training and production inference workloads.

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We help you choose, source, and procure the right infrastructure — no obligation.

Configuration at a Glance

GPU Capacity8× GPUs (H100 / H200 / B200 / RTX PRO — configurable)

GPU InterconnectNVLink / NVSwitch or InfiniBand fabric

CPUDual AMD EPYC or Intel Xeon

System MemoryUp to 2TB+ ECC

Tailored per engagement. Full technical overview below.

Overview

The 8 GPU AI Server delivers the GPU density required for large-model training and high-throughput inference in a single node. Nexus Compute sources these systems with the high-bandwidth GPU interconnect and supporting power, cooling, and networking that production AI workloads demand.

Who This Solution Is For

Organizations training or fine-tuning large models in-house

AI product teams serving models to many concurrent users

Research groups requiring dense single-node GPU compute

Enterprises building a foundation for an internal AI platform

Business Benefits

Train and serve at scale

Eight tightly-coupled GPUs handle workloads that single- or quad-GPU systems cannot, in one manageable node.

High-bandwidth interconnect

We specify NVLink/NVSwitch or InfiniBand so the GPUs work together efficiently on large models.

Production-grade infrastructure

Redundant power, enterprise cooling, and remote management suit always-on production use.

Foundation for a cluster

A single 8-GPU node is the building block of our multi-node training and inference clusters.

Typical Business Use Cases

Large language model fine-tuning and training

High-throughput production inference serving

Multi-user research compute consolidation

The first node of a scalable AI cluster

Industry Applications

AI & Machine LearningFinancial ServicesEducation & ResearchGovernment & Public Sector

Technical Overview

A purpose-built 8-GPU platform with high-bandwidth GPU interconnect, dual high-core-count CPUs, multi-terabyte ECC memory, high-speed networking, and redundant power. GPU selection spans data-center options including H100, H200, and B200.

GPU Capacity	8× GPUs (H100 / H200 / B200 / RTX PRO — configurable)
GPU Interconnect	NVLink / NVSwitch or InfiniBand fabric
CPU	Dual AMD EPYC or Intel Xeon
System Memory	Up to 2TB+ ECC
Storage	High-throughput NVMe array
Networking	100/400GbE or InfiniBand
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

What power and cooling does an 8-GPU server need?

These are high-power systems best deployed in a data center or properly provisioned server room. We confirm exact power and cooling requirements and can advise on colocation.

NVLink/NVSwitch or InfiniBand — which do I need?

For tightly-coupled single-node training, NVLink/NVSwitch is ideal. InfiniBand becomes important when scaling across multiple nodes. We specify based on your roadmap.

Can you help with installation?

We coordinate delivery and can advise on installation and commissioning through our sourcing process.

Procurement Assistance

Source the 8 GPU AI 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.

Request Quote Speak to an Infrastructure Specialist