Data Center & Cloud Infrastructure Services
Compute placement decides cost, latency and resilience for the next decade. We model the workload, select the facility or cloud region on evidence, then run the migration and the operations that follow it.
Where these programmes usually go wrong.
Colocation chosen on price per rack alone
Power density, cross-connect economics and carrier density inside the facility dominate total cost far more than the rack rate — and they are the variables most RFPs never model.
Lift-and-shift migrations that double run rate
Workloads moved without right-sizing arrive in the cloud carrying on-premises assumptions. The bill lands three months later and the savings case evaporates.
AI workloads that outgrow the facility
GPU clusters need 40-80kW per rack and liquid cooling. Most existing enterprise halls are built for 6kW, so the AI roadmap hits a physical wall nobody costed.
Scope, in plain terms.
Every item below is delivered by our in-house engineering team — design through deployment and into managed operations.
- Workload placement analysis across on-premises, colocation, private and public cloud
- Colocation sourcing and commercial negotiation, including power, cross-connects and expansion rights
- High-density and liquid-cooled hall design for AI and HPC workloads
- Hybrid and multi-cloud landing zone architecture with network and identity design
- Migration planning, wave sequencing, runbooks and cutover execution
- Direct cloud on-ramp and NaaS interconnect provisioning
- Disaster recovery and business continuity design with tested failover
- Managed operations: capacity monitoring, remote hands coordination and cost governance
Facility selection modelled on total cost, not rack rate
Our placement model weighs power cost, cooling capacity, carrier density, cross-connect fees, latency to user population and expansion headroom — the variables that decide whether the facility still fits in year five.
Ready to scope data center & cloud?
Run the ten-minute infrastructure assessment for a tailored gap analysis, or speak directly with the engineers who would deliver the work.
Frequently asked questions.
Do you have a preferred colocation provider?
No. We evaluate facilities against your workload profile and user geography. In practice the shortlist usually mixes a global operator for interconnect density with a regional operator for cost-efficient bulk capacity.
Can you support AI and GPU infrastructure?
Yes. We design for 40-80kW rack densities including rear-door heat exchangers and direct-to-chip liquid cooling, and we source facilities with the power headroom and delivery timeline to support it.
How do you approach cloud cost control?
Right-sizing happens before migration, not after. We baseline actual utilisation, model reserved and committed-use pricing against it, and hand over tagging and budget-alert governance so the run rate stays visible.
Do you manage the environment after migration?
We offer managed data center and cloud operations covering monitoring, capacity planning, patch and change management, remote-hands coordination and quarterly cost and performance reviews.
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