Hardware Datasheet · AI Workstation
Nexus Compute
Computer Vision Workstation
Tuned for image and video model training, annotation, and high-throughput data pipelines.
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. Vision work has a different bottleneck from language work. Vision models are usually small enough to fit in VRAM without difficulty; what limits them is getting data to the GPU. A detection dataset is millions of small files, each of which has to be read, decoded and augmented before the GPU sees it, so the machine is frequently limited by storage random-read performance and CPU decode throughput rather than by the card. The consequence for buyers is that spending the whole budget on the largest available GPU is usually the wrong allocation, because a mid-tier GPU that stays fed will out-produce a larger one that idles between batches. Video makes all of this more acute again, because decode cost and per-sample size both rise sharply. We specify against the shape of your data, not just the model you intend to train.
Specifications
| 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 |
| RTX 5090 CUDA Cores | 21,760 |
| RTX PRO 6000 CUDA Cores | 24,064 |
| GPU Memory Bandwidth | 1,792 GB/s (GDDR7, both GPU options) |
| CPU Platform | sTR5 socket / WRX90 chipset, 8-channel DDR5 ECC, up to 128 PCIe 5.0 lanes |
Typical 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
- ·Staging millions of small image files on local NVMe rather than a network share
- ·CPU-bound decode and augmentation pipelines feeding a single GPU
- ·Iterating on model architecture where each run is measured in hours, not days
- ·Developing models destined for edge or camera-side deployment
Industries
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.
