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AI infrastructure

Compute, storage and fabric for AI training and inference, delivered as one system.

We supply the full hardware stack behind production AI: NVIDIA HGX/DGX-class systems and current-generation data-centre GPUs, high-throughput parallel storage, and the InfiniBand or RoCE Ethernet fabric that binds them. Each order starts from the workload. Training a foundation model, fine-tuning on private data and serving low-latency inference place different demands on GPU memory, interconnect bandwidth and storage I/O, and we size the bill of materials to match rather than to a catalogue configuration.

AI infrastructure also changes the facility. Racks drawing 40 to 130 kW need direct-to-chip liquid cooling, reinforced floors and higher-capacity power distribution, so we confirm site readiness before purchase orders are placed. We manage OEM allocation and quoted lead times, export licensing and end-user documentation for controlled accelerators, and staged delivery to your hall. Warranty registration, spares holding and escalation paths to the manufacturer are agreed in writing, so the system you commission is the system you can support.

Benefits

Workload-led sizing

GPU count, memory and fabric are specified from your models and data, not from a default configuration.

Facility readiness checked early

Power, cooling and floor loading are reviewed before order, so hardware never arrives at a hall unable to host it.

Controlled-item compliance

Export classification, end-user certificates and licence applications are prepared alongside the commercial offer.

One accountable supplier

Compute, storage, networking and software licences arrive under one contract with a single point of escalation.

Reference architecture

AI infrastructure stack

AI infrastructure stackApplicationsModel trainingInference APIsRAG pipelinesMLOpsPlatform softwareKubernetesSlurmAI frameworksMonitoringCompute & fabricGPU serversInfiniBandParallel storageCPU nodesFacility & supplyLiquid coolingPower distributionRacksLogistics

Case study

Illustrative scenario

A GCC national research institution, Saudi Arabia

Challenges
The institution needed sovereign capacity to train Arabic-language models, but had no hall rated for high-density racks and faced long accelerator lead times.
Relevant services
We specified a phased GPU system with direct-to-chip liquid cooling, prepared export documentation for the accelerators and sequenced deliveries so the first phase could be commissioned while the facility upgrade continued.
Outcome
Training began on the first phase as planned, and the institution kept a documented path to expand capacity without redesigning the fabric.

Frequently asked questions

Can you supply NVIDIA systems, and in what capacity?

Yes. We procure NVIDIA HGX/DGX-class systems and current-generation data-centre GPUs through authorised distribution and OEM server makers. We supply them as a trading company and do not claim manufacturer partner status. Availability and lead times are confirmed in each quotation.

What export controls apply to AI accelerators?

Advanced accelerators can fall under the US Export Administration Regulations and equivalent regimes. We classify each item, screen end users and destinations, and prepare end-user certificates and licence applications where required, before shipment.

Who supports the system after installation?

Manufacturer warranty is registered in your organisation's name. On-site support, spares and escalation terms with the OEM or its service partner are agreed at contract stage, and we remain your first point of contact.

Send us your workload profile and target timeline, and we will return a sized, quoted bill of materials.