Core Service

Architecture & Integration

The design work that determines whether an AI estate performs in production or becomes an underused asset with a maintenance contract attached.

The layers we resolve together

LAYERWHAT IT COVERS
WorkloadTraining, fine-tuning, inference, retrieval and analytics, profiled before anything is specified.
PlatformOpenStack and Kubernetes control planes, tenancy, scheduling, metering and self-service provisioning.
ComputeAccelerator tiering matched to the workload mix, staged so that capital follows demonstrated demand.
Fabric and storageHigh-performance interconnect and storage sized to keep accelerators supplied with data.
FacilityPower envelope, thermal design and physical security, engineered concurrently with the compute.

GPU Cluster Deployment

End-to-end design and provisioning of high-performance computing (HPC) environments. We optimise for thermal efficiency, power consumption, and maximum compute utilisation.

  • Compute Sizing & Selection
  • Cooling & Power Strategy
  • Physical Rack Design

High-Speed Networking

AI workloads demand unprecedented bandwidth. We architect zero-bottleneck networking topologies to ensure seamless data flow across your entire AI infrastructure.

  • InfiniBand & Ethernet Specs
  • Low-Latency Topologies
  • Security Segmentation

Hybrid Cloud Integration

We seamlessly connect your on-premise hardware with public cloud environments, giving you the flexibility to burst compute when needed while keeping sensitive data secure.

  • Multi-Cloud Architecture
  • Data Pipeline Integration
  • Edge Node Deployment

Silicon-agnostic by design.

We hold direct technical alignment with both NVIDIA and AMD and specify against the workload rather than the incumbent. Accelerator selection, tiering and roadmap planning are driven by the client’s workload profile, not by a single supply relationship.

Capabilities

  • Multi-vendor GPU cluster design and deployment
  • Edge and core data centre integration
  • Storage architecture design
  • Hybrid cloud and on-premises integration
  • Modular data centre infrastructure coordination
  • Unified operational fabrics for infrastructure