Compute farms for artificial intelligence
From large-scale model training to real-time inference, we design and deploy the complete infrastructure: GPU compute nodes, high-performance networking, and storage that feeds your accelerators without starving them.
A GPU waiting for data is a GPU wasted
The cost of an AI farm is measured in accelerator hours. Every bottleneck — storage too slow, a saturated network, marginal cooling — translates directly into lost cycles and stretched budgets.
We size the whole chain, not just the servers.
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Storage that keeps paceDell PowerScale sized for training throughput — large datasets, massively parallel reads, fast checkpointing.
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High-performance networkingHigh-speed spine-leaf topologies between GPU nodes and storage, with our high-density structured cabling service.
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Sizing grounded in your workloadsTraining, fine-tuning or inference: each profile demands different compute/storage/network ratios — we measure them before you buy.
From architecture to first training run
Architecture and sizing
Workload analysis, node, network and storage selection, power and cooling planning — a validated design before any purchase order.
Integrated deployment
Installation, certified cabling, networking and end-to-end validation — delivered working, with throughput tests that prove the chain holds under load.
Operations and governance
Complete documentation, team training — and with NASLORD, chargeback of storage consumption per research team or project.
Research, universities, enterprise — the same standard.
From university laboratories to enterprise AI teams, we build environments where researchers compute instead of waiting.
An AI compute project in the works?
Let’s talk workloads, throughput and timeline — before the purchase list is frozen.