GPU clusters
Multi-node GPU systems, from a single scalable unit to a large compute fabric.
A GPU cluster is more than a stack of servers. We supply multi-node systems built on NVIDIA HGX/DGX-class platforms and current-generation data-centre GPUs, configured as defined scalable units with non-blocking InfiniBand or 400/800G Ethernet compute fabrics, separate storage and management networks, and the optics and cabling each topology requires. Rack-scale systems with integrated liquid cooling are available where facilities can take them. Each design is drawn up as a fabric diagram and cable schedule before ordering.
Before shipment we arrange staging burn-in, so faulty GPUs, network cards and transceivers are replaced before they reach your site. On arrival, systems are racked, cabled to the agreed schedule and validated with NCCL bandwidth tests and multi-node training runs. The cluster is handed over with operating system, drivers, container runtime and scheduler installed, and with documentation your operations team can use from day one, including the RMA route for every component.
Benefits
Fabric designed first
Topology, oversubscription and cable runs are fixed before any hardware is ordered.
Burn-in before shipping
Components are stress-tested at staging, cutting failures during on-site commissioning.
Validated at handover
Collective-communication and multi-node tests confirm the cluster performs as a single system.
Growth in defined units
Expansion follows repeatable building blocks, so new capacity does not disrupt the existing fabric.
Reference architecture
GPU cluster stack
Case study
Illustrative scenarioA regional cloud and hosting provider, Qatar
- Challenges
- The provider wanted to launch a GPU-as-a-service offer but lacked in-house experience of large fabrics and needed its first cluster ready for customers quickly.
- Relevant services
- We delivered a defined scalable unit with a non-blocking compute fabric, burn-in at staging before shipment and on-site validation with multi-node training benchmarks.
- Outcome
- The provider opened the service on a validated platform and holds a documented blueprint for adding further units.
Frequently asked questions
Is the cluster delivered ready to run jobs?
Yes. We hand over with the operating system, drivers, container runtime and a scheduler such as Slurm or Kubernetes configured, together with the results of the agreed acceptance tests.
Do you hold manufacturer partner status with NVIDIA?
No such status is claimed. We supply NVIDIA platforms as a technology trading company through authorised channels. Warranty and support are provided by the OEM or its authorised service partners, coordinated by us.
How are failed components replaced?
Every component is logged by serial number at staging. We document the RMA route for GPUs, servers, switches and optics, and can hold agreed spares in Qatar to shorten replacement times.