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Nexus Compute

RTX 5090 GPU Server

Cost-effective rackmount GPU density for inference and development workloads.

Full manufacturer warrantyAuthorized channel48-hour quote

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

RTX 5090 GPU Server — Nexus Compute enterprise hardware
RTX 5090 GPU Server hardware detail 1
RTX 5090 GPU Server hardware detail 2
RTX 5090 GPU Server hardware detail 3

Configuration at a Glance

GPU Capacity4–8× NVIDIA RTX 5090 (32GB each)
CPUDual AMD EPYC or Intel Xeon
System MemoryUp to 1.5TB ECC
StorageHot-swap NVMe array

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

4–8× NVIDIA RTX 5090 (32GB each)

Processor

Dual AMD EPYC or Intel Xeon

Memory

Up to 1.5TB ECC

Storage

Hot-swap NVMe array

Overview

The RTX 5090 GPU Server packs multiple RTX 5090 GPUs into a rack server, offering high GPU density at consumer-GPU economics. Nexus Compute specifies these systems for teams whose workloads — inference, development, and rendering — benefit more from GPU count and value than from data-center GPU features.

Who This Solution Is For

Teams running cost-sensitive inference at scale
Studios and rendering operations needing GPU density
Development and staging environments mirroring production
Organizations maximizing GPU count per dollar

Business Benefits

More GPUs per dollar

RTX 5090 cards deliver strong density and value for workloads that do not require data-center GPU memory or ECC.

Rack-grade reliability

Server chassis, redundant power, and remote management bring data-center operations to consumer GPUs.

Ideal for inference and dev

High GPU count suits parallel inference, rendering, and development/staging fleets.

Sourced and validated

We validate multi-GPU thermals and drivers so the system is production-stable on arrival.

Typical Business Use Cases

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High-throughput inference serving for internal applications

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GPU rendering and content generation farms

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Development and staging environments at GPU density

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Cost-optimized parallel batch processing

Industry Applications

Media & EntertainmentSoftware & SaaSAI & Machine LearningProfessional Services

Technical Overview

A rack platform housing multiple RTX 5090 GPUs with dual server CPUs, ECC memory, high-speed networking, redundant power, and out-of-band management — engineered for stable multi-GPU operation.

GPU Capacity4–8× NVIDIA RTX 5090 (32GB each)
CPUDual AMD EPYC or Intel Xeon
System MemoryUp to 1.5TB ECC
StorageHot-swap NVMe array
Networking25/100GbE
ManagementIPMI / out-of-band
PowerRedundant N+1 PSUs
Form Factor4U 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

Why choose RTX 5090 over H100 in a server?

RTX 5090 offers better raw price-performance for many inference, rendering, and development workloads. H100/H200 win where data-center memory bandwidth, ECC, or NVLink at scale matter. We advise based on your workload.

Is it suitable for training?

It can train smaller models well. For large-model training where GPU interconnect bandwidth is critical, we recommend our H100/H200 servers or clusters.

How many GPUs can it hold?

Typically four to eight RTX 5090s depending on the chassis and power configuration we specify for your facility.

Hardware Assistance

Configure the RTX 5090 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.