Engineering Design
Technical Architecture
Caprelion AI POD planning is based on integrated power and cooling architecture. Power delivery, liquid cooling, air cooling, heat rejection, controls and commissioning are planned as one integrated system.
Power and cooling are designed together — not sequentially.
Not power first, cooling later
Not rack-by-rack colocation
One integrated AI POD block
Integrated Power Architecture
Grid / Transformer Readiness
Site power grid connection, transformer sizing and switchgear coordination for AI POD power envelope. Subject to utility, permitting and site validation.
UPS / Busway / RPP / PDU
Uninterruptible power supply, busway infrastructure and rack power panels planned as an integrated system aligned to the AI POD block design.
DC Power Shelf Planning
DC power shelf planning assumptions for applicable AI server architectures. Final design subject to OEM selection and rack-level power requirements.
UPS and Facility Coordination
UPS and facility-level power infrastructure coordination to ensure consistent power quality and redundancy aligned to the AI POD block design.
Liquid Cooling and Heat Rejection
Direct-to-Chip Liquid Cooling
CDU / XDU and manifold planning for direct-to-chip liquid cooling — the primary thermal management approach for current NVL72-class AI rack-scale systems.
CDU / XDU Planning
Coolant distribution units and heat exchanger planning, sized to the AI POD deployment block and GPU cluster thermal envelope.
Manifold and Distribution
In-rack manifold and rack-level coolant distribution planning aligned to NVL72-class GPU cluster configurations and future higher-density generations.
External Heat Rejection
External heat rejection infrastructure — cooling towers, dry coolers or hybrid systems — planned as part of the AI POD block, not as an afterthought.
Air Cooling Support
Residual Thermal Load
Air cooling support for thermal loads that cannot be served by direct-to-chip liquid cooling. Precision cooling units and CRAC/CRAH planning where required.
Mixed Design Requirement
Current AI infrastructure deployments require a mix of direct-to-chip liquid cooling and air cooling support. These are interdependent and must be designed together — not sequentially.
Network and Optical Readiness
High-Bandwidth Cluster Networking
InfiniBand and Ethernet networking infrastructure planning for high-bandwidth GPU cluster interconnect. Topology aligned to NVL72-class cluster requirements.
Optical Readiness
Optical fiber infrastructure planning within the AI POD zone and between AI POD zones for high-bandwidth inter-cluster communication.
External Fiber / Carrier Readiness
External carrier and fiber connectivity coordination for the AI POD deployment site. Subject to site location and carrier availability.
Compliance-Ready Delivery
Fire Safety / Permitting
Fire safety system coordination and building/data center permitting for the AI POD deployment site. Subject to local authority requirements.
Compliance Framework
AI POD delivery designed for alignment with EN 50600, ISO/IEC 27001, ISO 9001 and BREEAM sustainability principles. Certification subject to project-specific audit and authority review.
Commissioning and Operations
Commissioning and Handover
Structured commissioning and handover framework aligned to EN 50600 and ISO 9001 quality management principles. Scope subject to project-specific design.
Controls and Monitoring
Power management, cooling controls and environmental monitoring systems integrated into the AI POD delivery. Alarm, threshold and failover logic aligned to the redundancy model.
Operations Readiness
Operations readiness documentation, training and support framework delivered as part of the AI POD handover process.
Future Modernization Path
Modular Power Architecture
AI POD power infrastructure designed with modular upgrade paths to support higher rack density, stronger cooling envelopes and future GPU refresh cycles.
Flexible Upgrade Logic
Mechanical and electrical infrastructure planned with upgrade headroom for NVL144, NVL288 and NVL576-class future density categories. Subject to site and utility constraints.
System Overview
Integrated AI POD Architecture Stack
01
Integrated Power
- Grid / Transformer
- UPS / Busway
- DC Power Shelf
02
Liquid Cooling
- Direct-to-Chip Liquid Cooling
- CDU / XDU
- Manifold and Distribution
03
Air Cooling
- Residual Thermal Load
- Mixed Design Requirement
04
Network and
- High-Bandwidth Cluster Networking
- Optical Readiness
- External Fiber /
05
Compliance-Ready Delivery
- Fire Safety /
- Compliance Framework
06
Commissioning and
- Commissioning and Handover
- Controls and Monitoring
- Operations Readiness
07
Future Modernization
- Modular Power Architecture
- Flexible Upgrade Logic
Each layer is planned as an integrated part of the AI POD block — not as standalone components.
Compliance Framework
Compliance-Ready AI POD Delivery
Caprelion AI POD infrastructure is delivered under a compliance-ready framework, designed for alignment with leading data center, security, quality and sustainability standards.
Data Center Infrastructure
Design and operations standard
Information Security
Management system readiness
Quality Management
System readiness
Sustainability Principles
Environmental assessment
Commissioning Framework
Handover and testing
Operations Readiness
Ongoing management
Designed for compliance alignment and project-specific certification readiness. Final certification depends on project scope, audit, commissioning, local authority requirements and assessor review. Caprelion does not claim formal certification unless separately confirmed.