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Nexus Parallax — Dual RTX 5080 16GB / Ryzen 9 9950X / 128GB

Two Blackwell GPUs for parallel training and multi-job dev

Full manufacturer warrantyAuthorized channel48-hour quote

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

Nexus Parallax — Dual RTX 5080 16GB / Ryzen 9 9950X / 128GB — Nexus Compute enterprise hardware
Nexus Parallax — Dual RTX 5080 16GB / Ryzen 9 9950X / 128GB hardware detail 1
Nexus Parallax — Dual RTX 5080 16GB / Ryzen 9 9950X / 128GB hardware detail 2
Nexus Parallax — Dual RTX 5080 16GB / Ryzen 9 9950X / 128GB hardware detail 3

Configuration at a Glance

GPU/Accelerator2x NVIDIA GeForce RTX 5080 16GB GDDR7 (32GB aggregate)
GPU InterconnectPCIe 5.0 x8/x8 (no NVLink on Blackwell consumer)
CPUAMD Ryzen 9 9950X (16C/32T, Zen 5)
Memory128GB DDR5-6000 (4x 32GB)

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

2x NVIDIA GeForce RTX 5080 16GB GDDR7 (32GB aggregate)

Processor

AMD Ryzen 9 9950X (16C/32T, Zen 5)

Memory

128GB DDR5-6000 (4x 32GB)

Storage

4TB PCIe 4.0 NVMe SSD

Overview

The Nexus Parallax fields two NVIDIA GeForce RTX 5080 16GB cards alongside a Ryzen 9 9950X to deliver 32GB of aggregate GDDR7 for data-parallel training and concurrent experimentation. Every dual-GPU build is power-validated, thermally tested, and shipped with manufacturer warranty coverage sourced through authorized channels.

Who This Solution Is For

ML teams running parallel experiments
Developers training with data parallelism
Labs serving multiple inference endpoints
Researchers maximizing throughput per desk

Business Benefits

Parallel throughput

Two Blackwell GPUs split data-parallel training or run independent jobs simultaneously.

Aggregate 32GB VRAM

Combined memory across cards expands the experiments a single workstation can host.

Cost-efficient scaling

Dual consumer GPUs deliver multi-card compute well below datacenter-accelerator pricing.

Typical Business Use Cases

1

Data-parallel model training

2

Concurrent multi-model inference serving

3

Hyperparameter sweeps across GPUs

4

Generative pipelines with dedicated cards

Industry Applications

AI & Machine LearningHigher Education & ResearchSaaS & SoftwareHPC

Technical Overview

Each RTX 5080 contributes 10,752 Blackwell CUDA cores and 16GB of GDDR7 at 960 GB/s, with the pair communicating over the Ryzen 9 9950X's PCIe 5.0 lanes since this generation omits NVLink. The AM5 platform's 16 Zen 5 cores feed both GPUs and handle host-side data orchestration.

GPU/Accelerator2x NVIDIA GeForce RTX 5080 16GB GDDR7 (32GB aggregate)
GPU InterconnectPCIe 5.0 x8/x8 (no NVLink on Blackwell consumer)
CPUAMD Ryzen 9 9950X (16C/32T, Zen 5)
Memory128GB DDR5-6000 (4x 32GB)
Storage4TB PCIe 4.0 NVMe SSD
Form FactorFull-tower, high-airflow
Power1300W 80 PLUS Platinum 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

Can the two GPUs be pooled as 32GB for one model?

They present as two 16GB devices rather than a single unified pool; frameworks shard models across them with model- or pipeline-parallelism, while data-parallel training and multi-job serving scale near-linearly.

Why no NVLink between the cards?

NVIDIA's Blackwell consumer GeForce line omits NVLink, so the cards communicate over PCIe 5.0; for most data-parallel and multi-model workloads this bandwidth is sufficient.

Does dual-GPU need special power or cooling?

The system ships with a 1300W Platinum supply and high-airflow chassis validated for two cards, and it operates on a standard dedicated 110-120V office circuit.

Hardware Assistance

Configure the Nexus Parallax — Dual RTX 5080 16GB / Ryzen 9 9950X / 128GB 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.