AI INFRASTRUCTURE / ENGINEERED FOR WHAT’S NEXT
The infrastructure behind the intelligence economy.
AI-ready data centers engineered for high-density GPU workloads, advanced cooling, resilient power, and global-scale deployment.
STRATUM / COMPUTE HALL 01
LIQUID-COOLED • 400G FABRIC
01 — PURPOSE-BUILT DENSITY POWER / COOLING / COMPUTE, IN BALANCE
PLATFORM DESIGN ENVELOPE
Performance, by design.
99.999%
Availability objective
Architecture target; SLA by contract
120 kW+
Rack design density
Configuration and facility dependent
400G
Network fabric
Built for east-west GPU traffic
24/7
Infrastructure operations
Continuous monitoring and response
01 / THE PLATFORM
Built specifically for AI workloads.
Every layer is engineered around the demands of accelerated computing. Less infrastructure friction. More useful compute.
02 / ONE INTEGRATED SYSTEM
Intelligence starts at the foundation.
A coordinated infrastructure stack, from utility connection to the models your teams build.
01
AI workloads
Training · inference · simulation
02
GPU clusters
Dense, scalable accelerator pods
03
Network fabric
High-bandwidth east-west connectivity
04
Cooling
Direct-to-chip thermal management
05
Power
Resilient electrical distribution
06
Facility
Secure, purpose-built environments
03 / GLOBAL FOOTPRINT
Close to your next breakthrough.
Five regional planning profiles. One consistent infrastructure philosophy.
IAD / PROFILE 01
Northern Virginia
48 MW reference
Phased power allocation
Direct-to-chip liquid cooling
Reference profile • Fit-out scenario
DFW / PROFILE 01
Texas
72 MW reference
Expansion capacity planned
Liquid + rear-door cooling
Reference profile • Expansion scenario
LON / PROFILE 01
London
24 MW reference
Reservation-based allocation
Closed-loop liquid cooling
Reference profile • Planning scenario
FRA / PROFILE 01
Frankfurt
36 MW reference
Phased power allocation
Direct-to-chip liquid cooling
Reference profile • Planning scenario
SIN / PROFILE 01
Singapore
18 MW reference
Subject to utility approval
Hybrid liquid cooling
Reference profile • Planning scenario
04 / FROM EXPERIMENT TO PRODUCTION
From model training to real-time inference.
Scale long-running training jobs, serve latency-sensitive applications, and keep sensitive models inside a dedicated environment.
01 / WORKLOAD
Foundation Models
02 / WORKLOAD
Inference
03 / WORKLOAD
Computer Vision
04 / WORKLOAD
Robotics
05 / WORKLOAD
Simulation
06 / WORKLOAD
Enterprise AI
05 / CONNECTED BY DESIGN
A private backbone. A wider horizon.
Regional topology is configured around workload placement, carrier diversity, and data movement requirements.
REGION 01
IAD / DFW
REGION 02
LON / FRA
REGION 03
SIN
Conceptual connectivity diagram. Routes and latency depend on deployment and carrier selection.
06 / RESOURCE INTELLIGENCE
More intelligence. Less overhead.
Efficiency is a system-wide discipline: measure energy and water use, optimize cooling, and match renewable sourcing to each operating region.
Measure first
Track PUE, WUE and utilization with clear reporting boundaries.
Cool at the source
Design liquid loops around actual GPU thermal loads and ambient conditions.
Plan for recovery
Assess heat-reuse partnerships where local demand and temperature make them viable.
07 / TRUST AT EVERY LAYER
Resilience is an operating discipline.
Physical security
Controlled access, monitored perimeters and documented visitor procedures.
Network security
Segmentation, private connectivity and auditable access policies.
Operational resilience
Tested procedures, change control and maintainable infrastructure.
24/7 monitoring
Continuous telemetry, incident escalation and accountable response.
LET’S BUILD WHAT’S NEXT
Build your next AI cluster on infrastructure designed for it.
STRATUM
STRATUM is a fictional concept brand. Facility profiles, specifications, company details, and performance values are illustrative.