Hardware Datasheet · GPU Server
Nexus Compute
4 GPU AI Server
An entry-point rackmount AI server for teams moving beyond the workstation.
Overview
The 4 GPU AI Server is the natural next step for teams that have outgrown desktop GPUs and need rack-mounted, manageable, always-on compute. Nexus Compute specifies the GPU type, interconnect, and supporting infrastructure to your workload, then sources and configures the complete system for deployment in your facility or colocation. Four accelerators is the point at which a team stops contending for a desktop card and starts scheduling shared work: fine-tuning models in the single- to low-double-digit billions of parameters, serving several production endpoints, or giving four developers an independent GPU each. The ceiling is the node itself: with no cluster fabric, whatever you run has to fit inside the combined memory of those four cards, or be quantized or offloaded to do so. Power is usually the constraint that decides the configuration rather than budget. An RTX-class build sits in the low single-digit kilowatts, while four data-center cards plus host overhead can consume most of a standard rack feed. We size the host CPU, system memory, and NVMe against the accelerators chosen, so the GPUs are not left waiting on the data path.
Specifications
| GPU Capacity | 4× GPUs (RTX 5090 / RTX PRO / H100 PCIe, configurable) |
| CPU | Dual AMD EPYC or Intel Xeon |
| System Memory | Up to 1.5TB ECC |
| Storage | Hot-swap NVMe (configurable capacity) |
| Networking | 25/100GbE; InfiniBand optional |
| Management | IPMI / out-of-band remote management |
| Power | Redundant N+1 power supplies |
| Form Factor | 4U rackmount |
| GPU Memory (H100 PCIe option) | 80GB HBM2e, 2.0 TB/s bandwidth |
| Max GPU TDP (H100 PCIe option) | 350W |
| GPU Interconnect (H100 PCIe option) | NVLink bridge (2-GPU, 600GB/s) or PCIe Gen5 x16 |
| Chassis Dimensions (representative 4U platform) | 7in H x 17.2in W x 29in D (178 x 437 x 737mm) |
| PSU Configuration (representative) | 4x 2700W (2+2) redundant, Titanium (96%) |
Typical Use Cases
- ·Shared team training and fine-tuning workloads
- ·Production inference serving for internal applications
- ·Consolidating GPU access across multiple developers
- ·On-premises pilots before committing to a cluster
- ·Fine-tuning and adapter training on models that fit within four accelerators
- ·Scheduled multi-user access via Slurm or Kubernetes
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.