AI infrastructure engineered from power through production.
Radiant designs and develops scalable AI factories that can flexibly be built and operated as single-tenant buildings/campuses under long-term offtake agreements.
We bring site, power, data center and compute into one delivery program. Capacity reaches RFS in as little as 6 months on a powered site and 9-12 months on a greenfield site.
We develop capacity continuously
Hyperscale capacity cannot be created on demand. Radiant continuously procures a portfolio of sites and runs a predevelopment process, advancing power, permitting, design, and supply chain work before any customer deployment is finalized.
Site selection criteria is matched directly against established industry best practice variables:
Market
Geography, latency requirements, data residency and connectivity.
Critical IT load
Initial deployment size, expansion requirements and ultimate campus scale.
RFS
The point in the development program at which the required capacity can enter production.
Architecture
Target compute platform, rack density, network, storage and operating model.
Availability is matched to your requirement, not published as a static list. Send us your market, load and RFS, and we will share the capacity that fits and its stage of readiness.
The development program is part of the infrastructure.
Radiant deployments can start from existing infrastructure, campus expansion or a greenfield site. Whatever the starting point, delivery, permitting and execution remain consistent.
We evaluate the physical environment against the deployment: power, rack density, cooling, fiber, expansion, security and operational constraints. Where capacity exists, we adapt it to the target architecture; where it doesn't, we manage development, permitting and construction.
Power architecture is matched to the deployment and site, using existing utility capacity, expanding an operating campus, adding distribution infrastructure, or developing new generation and behind-the-meter power. Design is sized against critical IT load, redundancy and expansion needs.
Long-lead electrical, mechanical and compute procurement is planned against the RFS schedule. Our modular strategy (mechanical, electrical, whitespace skids, BTM fuel cells) lets larger campuses draw from a shop-list of standardized parts, with strategic procurement enabling parallel work.
Construction
Radiant uses repeatable, pre-engineered infrastructure blocks across new construction and existing facilities.
Prefabricated systems
Power distribution, cooling, containment and other major systems can be assembled and tested before arriving on site.
Parallel execution
Construction, facility fit-out, infrastructure deployment and compute installation can move concurrently.
Repeatable building blocks
Standardized components reduce design and field-integration work across deployments.
Accelerated Compute
Infrastructure is designed around NVIDIA accelerated computing platforms, including Blackwell-generation systems, the Vera Rubin platform and Rosa Feynman roadmap.
Facility and cluster architecture are developed together so that rack layout, power distribution, cooling and fabric design reflect the actual system being deployed.
High-Density Power
Radiant engineers the electrical system from utility interconnection through rack distribution around the sustained load profile of accelerated computing.
High-Density Distribution
Rack power is engineered for 155 kW GB, 227 kW VR or ~1 MW for RF.
Redundancy and Maintainability
Electrical infrastructure is designed to maintain availability while supporting planned maintenance and component replacement.
Expansion
Standardized electrical blocks allow additional capacity to be deployed as the campus or site expands.
Compute-Aligned Design
Distribution, rack power and redundancy are engineered against the critical IT load and deployment architecture from the outset.
Liquid Cooling
Cooling is engineered around the computational architecture, not after the data hall is designed as an afterthought.
Direct-to-chip liquid cooling
Radiant supports rack-scale accelerated systems using CDUs and direct liquid cooling.
End-to-end thermal design
Facility water loops, heat rejection, CDUs, manifolds and rack connections are designed as one thermal system and validated via CFD.
Cooling capacity
Cooling infrastructure can be deployed in repeatable blocks alongside additional compute capacity.
Density-specific engineering
Flow, temperature and heat-rejection requirements are matched to the target rack architecture and hardware platform.
Expansion planning
Mechanical infrastructure is designed with the deployment and expected capacity expansion in mind, reducing the amount of facility rework required as additional capacity comes online.
Hardware Evolution
The current deployment drives the design. Radiant also preserves practical options for the generations that follow.
Network infrastructure starts with the site.
Radiant sites are chosen to assure that adequate bandwidth and route redundancy are available for all workloads that the facility will need to support. From there, a specific network architecture and interconnect speed for the GPU network, data network and management network are designed and chosen to include potential expansion.
Diversity
Diverse fiber routes and facility entrances
Connectivity
Campus and inter-building connectivity optimised for shortest but balanced cable lengths (improve GPU latency)
Infrastructure
Data hall pathways and cabling sized for NVIDIA Quantum-X InfiniBand and Spectrum-X Ethernet fabrics
Topology
Physical layout built to the target rail-optimized and multi-plane topology
Commissioned as an AI factory.
Radiant commissions the facility and cluster as one system. That process starts before the physical infrastructure is installed.
Digital twins provide a common model across the facility and computational design allowing physical configuration, power and thermal behavior to be evaluated before deployment.
Power systems, cooling performance, redundancy and failure domains tested under operating conditions and peak load.
Compute, firmware and rack-level systems validated before production.
Network, storage and infrastructure behavior tested across the production architecture.
Telemetry, access controls, escalation paths and operating procedures established before handover.
RFS is only the starting point.
Radiant remains accountable for the infrastructure once the cluster enters production. Facility operations, hardware lifecycle, breakfix and fleet-level controls run in the same operating environment used to deploy the capacity. Radiant FlightDeck is the control surface across the fleet.
The operating boundary is set with you. Radiant can hold the full infrastructure stack or expose the controls you need into your own environment.
