AI clusters and servers built for production workloads
Custom-designed AI compute infrastructure: from single GPU servers to multi-node training clusters. We handle the full stack: cluster design, GPU configuration, cooling, power planning, rack layout, deployment, and commissioning.
From design to deployment. Lead times depend on hardware sourcing.
End-to-end cluster design and deployment
Custom AI Cluster Design
We design GPU clusters from the ground up. matched to your workloads, budget, and growth trajectory. Training clusters, inference farms, or hybrid configurations.
GPU Server Configuration
Optimal server specs for your use case: GPU selection, CPU pairing, memory configuration, storage architecture, and high-speed interconnects between nodes.
Cooling & Power Planning
AI hardware runs hot and draws serious power. We design cooling solutions and power delivery systems that fit your facility, redundancy needs, and growth plan.
Rack Planning & Layout
Efficient rack layout that maximises airflow, minimises cable runs, and leaves room for expansion. We plan for the cluster you need today and the one you'll need next year.
Deployment & Commissioning
We don't just design: we deploy. Full commissioning including hardware installation, OS setup, driver configuration, cluster orchestration, and performance validation.
Infrastructure for every AI workload
AI Training Clusters
Multi-node GPU clusters for training large models. with high-bandwidth interconnects, distributed training frameworks, and job scheduling.
Inference at Scale
Server configurations optimised for low-latency, high-throughput inference. serving models to production applications with predictable performance.
Research & Experimentation
Flexible compute environments for R&D teams. easy to reconfigure, shared across researchers, with experiment tracking and resource management.
On-Premise AI for Regulated Industries
When data can't leave your building, we design on-premise clusters that meet security and compliance requirements without compromising capability.
Edge AI Infrastructure
Compact, ruggedised compute for deployment at the edge. factories, mines, retail locations. where connectivity is limited but AI is critical.
Hybrid Cloud-Local Architecture
Burst to cloud for training, serve locally for inference. We design architectures that optimise cost and performance across both environments.
Requirements
We assess your workloads, performance targets, physical space, power capacity, and budget to define the right architecture.
Design
Detailed cluster design. hardware specs, rack layout, cooling plan, power distribution, and network topology.
Procure & build
We source hardware, coordinate logistics, assemble the cluster, and configure all software layers.
Commission & handover
Performance benchmarking, documentation, team training, and ongoing support to ensure everything runs smoothly.
Ready to build your AI cluster?
Book a consultation. we'll design infrastructure that fits your workloads and your reality.
Or email [email protected]