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NexusCompute

Hardware Datasheet · AI Workstation

Nexus Compute

Nexus Compute

Dual RTX 5090 AI Workstation

Twin-GPU compute for agencies and growing AI teams that have outgrown a single card.

Overview

The Dual RTX 5090 AI Workstation pairs two RTX 5090 GPUs with 256GB of ECC memory for teams whose workloads no longer fit comfortably on a single GPU. Nexus Compute sources and validates the full configuration (including power delivery and thermal design for two cards sharing one chassis) so you receive a stable, production-ready system rather than an experiment. The second card buys two things: concurrency, so one GPU can serve while the other trains, and capacity, since 64GB of combined VRAM holds models and batch sizes a single 32GB card cannot. It is worth being clear about what it does not buy. Splitting one model across two cards adds communication overhead, so a workload that already fits on a single GPU rarely runs twice as fast on two. Buy the second card because you have two jobs, or one job too large for one card, rather than as a general accelerator. A twin-GPU tower is also a different object to live with: it wants its own circuit, it is loud under sustained load, and most buyers end up putting it in a comms room or a corner rather than beside a desk.

Specifications

GPU2× NVIDIA RTX 5090 with 64GB combined GDDR7
CPUAMD Threadripper PRO (high-core-count class)
System Memory256GB DDR5 ECC
Primary Storage8TB PCIe Gen5 NVMe SSD
GPU InterconnectPCIe 5.0 x16 per card (RTX 5090 has no NVLink)
Power Supply2000W 80+ Titanium
Operating SystemUbuntu 22.04 LTS or Windows 11 Pro
Warranty3-year on-site, next-business-day
GPU ArchitectureNVIDIA Blackwell
CUDA Cores (per GPU)21,760
GPU Memory Bandwidth (per GPU)1,792 GB/s
GPU Power (Total Graphics Power, per GPU)575W
GPU Dimensions (per card)304mm x 137mm, dual-slot
CPU PlatformsTR5 socket / WRX90 chipset, 8-channel DDR5 ECC, up to 128 PCIe 5.0 lanes

Typical Use Cases

  • ·Full-precision inference on larger language models
  • ·Parallel fine-tuning and experimentation across two GPUs
  • ·High-throughput batch image and video generation
  • ·Serving one model in production while developing another
  • ·Multi-tenant development for small agency teams
  • ·Models in the 30B to 70B range that need more than 32GB even after quantization
  • ·Two independent experiments pinned to one GPU each, with no interference between them
  • ·Hyperparameter sweeps run two at a time rather than sequentially

Industries

AI & Machine LearningMedia & EntertainmentSoftware & SaaSProfessional Services

Warranty & Support

Supplied through authorized channels with full manufacturer warranty. On-site, next-business-day support options available. Every system is configured, tested, and documented before delivery, with asset and warranty records provided for enterprise audit requirements.

Request a tailored quote

Configurations are tailored per engagement, so contact us for pricing and lead times.

sales@nexus-compute.com

+1 656 218 9096

nexus-compute.com

Specifications are indicative and configured to each engagement. All product names, logos, and trademarks are the property of their respective owners. Nexus Compute is an independent enterprise hardware supplier.