RTX 5090 AI Workstation
Professional single-GPU AI development, sourced and configured to your specification.
We help you choose, configure, and deliver the right system — no obligation.
Configuration at a Glance
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.
NVIDIA RTX 5090 — 32GB GDDR7
AMD Threadripper PRO (24-core class)
128GB DDR5 ECC (expandable)
4TB PCIe Gen5 NVMe SSD
Overview
The RTX 5090 AI Workstation gives individual developers and small teams desktop-class AI compute built around NVIDIA's flagship RTX 5090 and 128GB of ECC memory. Nexus Compute specifies, sources, and configures each unit to your exact software stack so it arrives ready for production work — not as a box of parts to assemble.
Who This Solution Is For
Business Benefits
Reduce cloud spend
A one-time on-premises investment eliminates recurring GPU rental costs for teams running sustained development workloads.
Keep data in-house
Sensitive training data and proprietary models never leave your environment — important for regulated and IP-sensitive work.
Arrives production-ready
We pre-configure CUDA, drivers, and your chosen frameworks so the workstation is productive on day one.
Single point of accountability
One procurement partner handles specification, sourcing, configuration, and warranty support.
Typical Business Use Cases
Local LLM inference and fine-tuning on mid-scale models
Image and video generation pipelines (Stable Diffusion, FLUX, ComfyUI)
Computer vision model training and dataset preprocessing
Rapid prototyping before scaling to GPU servers or clusters
Retrieval-augmented generation (RAG) development and testing
Industry Applications
Technical Overview
Built on the AMD Threadripper PRO platform with the NVIDIA RTX 5090 (32GB GDDR7) and 128GB of DDR5 ECC memory. Configured with PCIe Gen5 NVMe storage and your choice of Ubuntu LTS or Windows 11 Pro, pre-loaded with the CUDA toolchain.
| GPU | NVIDIA RTX 5090 — 32GB GDDR7 |
| CPU | AMD Threadripper PRO (24-core class) |
| System Memory | 128GB DDR5 ECC (expandable) |
| Primary Storage | 4TB PCIe Gen5 NVMe SSD |
| Operating System | Ubuntu 22.04 LTS or Windows 11 Pro |
| Software | CUDA 12.x, cuDNN, framework of choice pre-installed |
| Power Supply | 1600W 80+ Titanium |
| Warranty | 3-year on-site, next-business-day |
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
Can it run large language models locally?
Yes — the 32GB of VRAM runs quantized models up to roughly 70B parameters and handles full-precision inference on smaller models. For full-precision work on the largest models, we would recommend a dual-GPU or server configuration.
Does it ship ready to use?
Yes. We pre-install the operating system, GPU drivers, CUDA toolchain, and your preferred ML frameworks, and document the exact versions so your environment is reproducible.
How do I get a quote?
Submit a quote request with your intended workloads. A specialist will confirm the configuration, sourcing timeline, and a detailed itemized quote — typically within two business days.
Hardware Assistance
Configure the RTX 5090 AI Workstation 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.