Claymont Group
Data centre development services

From origination to operations — one continuous discipline.

Claymont delivers end-to-end data centre construction and development for AI and hyperscale workloads. Our integrated platform covers site origination, energy strategy, AI-native design, commissioning, and ongoing asset management — across Asia Pacific, Europe, the Middle East, and the Americas.

Learn more about our integrated platform, explore GPU-as-a-Service, or read what AI infrastructure means.

Stage 01

Strategy, Structure & Site/Customer Selection

The decisions that determine whether a site succeeds are taken in origination. Site selection, energy strategy, customer alignment, and capital structuring are sequenced and stress-tested before commitment.

Activities
  • AI workload and demand analysis: assessing where compute demand is concentrating, what density and scale matters, and which customer segments to anchor
  • End-customer selection and engagement: identifying viable hyperscale, neocloud, and enterprise anchor customers; structuring offtake intent
  • Government and regulatory relations: working with national and regional authorities on strategic infrastructure positioning
  • Site origination: land, power, water, and connectivity sourcing across Asia Pacific, Europe, and the Middle East
  • Energy strategy: grid economics, renewable integration, storage architecture
  • Capital structuring and risk allocation: shaping the project's capital stack against the workload, customer, and exit profile
Outcome: An AI-ready, energy-secured, financeable site with a viable end-customer shortlist and committed intent.
Stage 02

Design, Development & AI Infusion

Claymont designs AI-native facilities rather than retrofitting traditional data centre layouts to AI workloads. Design integrates AI compute architecture and energy systems from the building stage.

AI Core
  • High-density GPU layouts engineered for the targeted workload mix
  • Liquid and hybrid cooling design from the architecture stage, not added in retrofit
  • AI-native data centre architecture: power distribution, network topology, and rack design configured for AI compute density
  • GPU-as-a-Service platform configuration where the customer model includes operating capacity rather than only colocation
Green Core
  • Renewable integration: on-site, near-site, and PPA-anchored renewable sourcing engineered into the build
  • Energy storage and resilience engineering: battery, thermal, and grid-services architecture
  • Efficiency and load-balancing optimisation: PUE, WUE, and operational efficiency designed for, not reported around
Outcome: Infrastructure designed for performance, efficiency, and scale, with appropriate silicon configuration and end customer committed.
Stage 03

Commissioning, De-Risking & Exits

Commissioning runs to institutional standards. Power reliability, system validation, and customer handover happen against pre-defined acceptance criteria. Exit optionality is structured at origination rather than retrofitted at maturity.

Activities
  • Power reliability validation: redundancy, transfer switching, and grid-services testing
  • End-customer handover: integration with customer operating platforms; SLA and acceptance testing
  • GPU deployment and system validation: silicon installation, networking commissioning, performance benchmarking
  • Sustainability and reporting frameworks: GRI, TCFD, SASB, and GRESB reporting infrastructure calibrated to capital partner requirements
  • Exit and refinancing structuring: institutional sale, refinancing, JV, and platform-level exit pathways
Outcome: Revenue-ready AI infrastructure with reduced execution risk and clear exit optionality.
Beyond the three stages

Ongoing platform services.

Claymont's platform extends beyond commissioning into ongoing asset management and platform services. The same discipline that shapes origination shapes operations.

Asset management

Performance monitoring, customer relationship management, and operational optimisation across each site's operating life.

GPU-as-a-Service operations

Where the commercial model includes operating compute capacity, Claymont supports platform operations alongside the underlying infrastructure.

Refinancing and capital recycling

Exit and refinancing pathways are activated at the appropriate point in the asset lifecycle, returning capital to investors and platform.

Sustainability reporting

Ongoing ESG reporting infrastructure across the operating portfolio, calibrated to the requirements of each capital partner.

Frequently asked questions

Data centre development, answered.

What does a data centre developer do?

A data centre developer originates sites, secures power and connectivity, structures capital, designs AI-ready facilities, manages construction and commissioning, and hands over revenue-ready capacity to hyperscale or enterprise customers. Claymont integrates all of these into a single platform across Asia Pacific, Europe, the Middle East, and the Americas.

How long does it take to build an AI data centre?

AI-ready data centre development typically runs 18–36 months from site origination to commissioning, depending on grid interconnection timelines, permitting, and the density of the targeted GPU workload. Power availability — not construction — is usually the binding constraint.

What makes an AI data centre different from a traditional data centre?

AI data centres are engineered for much higher rack densities (often 60–130 kW per rack and rising), liquid or hybrid cooling from the architecture stage, dense GPU networking topologies, and significantly larger and more resilient power blocks. Retrofitting a traditional hall to AI workloads is rarely economic — design has to start AI-native.

How does Claymont approach data centre construction and commissioning?

Claymont sequences origination, design, construction, and commissioning as one continuous discipline. Power is secured before design, end customers are anchored before construction, and acceptance testing runs to institutional standards (Tier III/IV equivalent) before handover.

Engagement

Engagements begin with a structured discussion of the underlying asset, customer, and capital horizon. Claymont engages selectively, prioritising counterparties whose timelines and standards match the duration of the infrastructure.

Begin a conversation →