Computer Vision Workstation
Tuned for image and video model training, annotation, and high-throughput data pipelines.
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) or RTX PRO 6000 (96GB)
AMD Threadripper PRO (high I/O)
128GB–256GB DDR5 ECC
High-bandwidth NVMe + bulk dataset storage
Overview
The Computer Vision Workstation is specified for teams building image and video AI — object detection, segmentation, and visual inspection systems. Nexus Compute configures the GPU, fast storage, and I/O to handle the large visual datasets these workloads depend on.
Who This Solution Is For
Business Benefits
Handles large visual datasets
High-throughput storage and I/O keep GPUs fed when training on large image and video corpora.
Faster annotation and training loops
GPU acceleration shortens the label-train-evaluate cycle that defines vision projects.
Configured for the workload
We balance VRAM, storage bandwidth, and CPU for vision pipelines specifically.
On-premises data control
Proprietary imagery and footage stay within your environment.
Typical Business Use Cases
Object detection and segmentation model training (YOLO, SAM, Detectron2)
Video understanding and action recognition
Visual inspection and defect-detection model development
Dataset annotation, augmentation, and preprocessing at scale
Industry Applications
Technical Overview
Built around RTX 5090 or RTX PRO 6000 GPUs with high-bandwidth NVMe storage for large image and video datasets, and ample system memory for data loading pipelines.
| GPU Options | NVIDIA RTX 5090 (32GB) or RTX PRO 6000 (96GB) |
| CPU | AMD Threadripper PRO (high I/O) |
| System Memory | 128GB–256GB DDR5 ECC |
| Storage | High-bandwidth NVMe + bulk dataset storage |
| Software | OpenCV, PyTorch, CUDA, vision toolkits pre-installed |
| Operating System | Ubuntu 22.04 LTS |
| 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
Why does storage matter so much for vision work?
Vision training is frequently I/O-bound — if storage cannot feed the GPU fast enough, the GPU sits idle. We specify high-bandwidth storage so the GPU stays utilized.
Can it handle video as well as images?
Yes. We size storage and memory for video pipelines, which are more demanding than still-image workloads.
Do you support edge deployment of trained models?
We focus on the development workstation; we can advise on sourcing edge inference hardware separately if needed.
Hardware Assistance
Configure the Computer Vision 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.