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Nexus Velocity 5080 — Single RTX 5080 16GB / Ryzen 9 9950X / 64GB

Blackwell-class AI development on a desk-side budget

Full manufacturer warrantyAuthorized channel48-hour quote

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

Nexus Velocity 5080 — Single RTX 5080 16GB / Ryzen 9 9950X / 64GB — Nexus Compute enterprise hardware
Nexus Velocity 5080 — Single RTX 5080 16GB / Ryzen 9 9950X / 64GB hardware detail 1
Nexus Velocity 5080 — Single RTX 5080 16GB / Ryzen 9 9950X / 64GB hardware detail 2
Nexus Velocity 5080 — Single RTX 5080 16GB / Ryzen 9 9950X / 64GB hardware detail 3

Configuration at a Glance

GPU/Accelerator1x NVIDIA GeForce RTX 5080 16GB GDDR7 (Blackwell)
CPUAMD Ryzen 9 9950X (16C/32T, Zen 5, up to 5.7 GHz)
Memory64GB DDR5-6000 (2x 32GB)
Storage2TB PCIe 4.0 NVMe SSD

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

1x NVIDIA GeForce RTX 5080 16GB GDDR7 (Blackwell)

Processor

AMD Ryzen 9 9950X (16C/32T, Zen 5, up to 5.7 GHz)

Memory

64GB DDR5-6000 (2x 32GB)

Storage

2TB PCIe 4.0 NVMe SSD

Overview

The Nexus Velocity 5080 pairs a single NVIDIA GeForce RTX 5080 16GB with a 16-core Ryzen 9 9950X in a compact, air-cooled tower purpose-built as an affordable entry point into model development. Every unit is specified, assembled, thermally validated, and shipped with manufacturer warranty coverage through authorized component channels.

Who This Solution Is For

Individual ML engineers and researchers
Teams seeding their first AI dev workstation
Students and labs on tight hardware budgets
Developers prototyping before cloud scale-out

Business Benefits

Low entry cost

A single-GPU Blackwell build delivers serious local compute without datacenter-class spend.

Latest architecture

Fifth-generation Tensor Cores accelerate mixed-precision training and FP8 inference workloads.

Quiet desk-side fit

An air-cooled mid-tower runs alongside your desk in any office environment.

Typical Business Use Cases

1

Fine-tuning small-to-mid language models

2

Local Stable Diffusion image generation

3

Notebook-based experimentation

4

Inference and prompt-engineering iteration

Industry Applications

AI & Machine LearningHigher Education & ResearchSaaS & Software

Technical Overview

Built on NVIDIA's Blackwell architecture, the RTX 5080 provides 10,752 CUDA cores, 336 fifth-gen Tensor Cores, and 16GB of GDDR7 across a 256-bit bus at 960 GB/s. The AMD Zen 5 Ryzen 9 9950X supplies 16 cores and 32 threads on an AM5 platform with quad-channel-equivalent dual-channel DDR5.

GPU/Accelerator1x NVIDIA GeForce RTX 5080 16GB GDDR7 (Blackwell)
CPUAMD Ryzen 9 9950X (16C/32T, Zen 5, up to 5.7 GHz)
Memory64GB DDR5-6000 (2x 32GB)
Storage2TB PCIe 4.0 NVMe SSD
Networking2.5GbE onboard
Form FactorMid-tower, air-cooled
Power850W 80 PLUS Gold ATX
Warranty3-year parts warranty via authorized channels

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

What model sizes can this workstation handle?

With 16GB of GDDR7, it comfortably fine-tunes and runs quantized LLMs up to roughly 13B parameters and full-precision diffusion models, making it ideal for prototyping before scaling to multi-GPU systems.

Is a single RTX 5080 enough for AI development?

Yes for most individual development, experimentation, and inference work; teams needing larger VRAM pools or parallel training should consider our dual-GPU or 24GB RTX 4090 configurations.

Does it fit in a standard office?

It is an air-cooled mid-tower designed to operate quietly desk-side on standard 110-120V power, requiring no specialized cooling or facilities.

Hardware Assistance

Configure the Nexus Velocity 5080 — Single RTX 5080 16GB / Ryzen 9 9950X / 64GB 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.