AI INFRASTRUCTURE
High-Density Infrastructure for AI Compute
The AI Hub of Innovation (AHI) provides purpose-built infrastructure for next-generation AI compute, hyperscale training clusters, and sovereign AI deployments.
The campus supports a vendor-agnostic deployment model, enabling organizations to deploy:
AHI provides the power, cooling, connectivity, and physical infrastructure, allowing operators to deploy AI compute environments without legacy data centre constraints.
AI Campus Capacity
Initial Deployment
10 MW
October 2026
Expansion Phase
40–120 MW
Modular Scaling
Campus Pathline
240+ MW
AI Infrastructure
Flexible Deployment Models
AHI provides the infrastructure platform. Operators deploy the compute.
BYOC Infrastructure
Bring Your Own Compute
Customers deploy their own GPU clusters inside AHI infrastructure
Enterprise AI
Dedicated Infrastructure
Purpose-built environments for enterprise AI training and inference
AI Cloud Platforms
GPU Cloud Providers
GPU cloud providers deploy clusters and offer AI compute services
AHI provides the infrastructure platform. Operators deploy the compute.
AI Super Cluster Infrastructure
AI Infrastructure Architecture
Full-stack infrastructure designed for modern AI compute deployments
AI Compute Layer
Cooling Layer
Network Layer
Energy Platform
Grid Interconnection
Modular AI Super Clusters
The campus is designed around modular AI compute clusters, allowing operators to deploy infrastructure in scalable blocks.
Typical AI Cluster Configuration
Each cluster is engineered for high-density GPU infrastructure and supports modern accelerator architectures.
Clusters can be deployed independently or combined into larger AI infrastructure environments.
This architecture enables rapid expansion of compute capacity while maintaining predictable infrastructure scaling.
BYOC – Bring Your Own Compute
AHI supports a BYOC (Bring Your Own Compute) deployment model.
This allows hyperscalers, enterprises, and AI operators to deploy their own GPU clusters within the campus infrastructure.
The campus provides:
Customers deploy and manage their own compute hardware while leveraging AHI's infrastructure platform.
AI Cloud Infrastructure
In addition to BYOC deployments, the campus supports AI cloud infrastructure operators providing GPU compute services.
These platforms enable organizations to access AI compute capacity through:
This structure supports a range of deployment models including:
Cooling Architecture
High-density GPU environments require advanced cooling systems. The AHI campus supports multiple cooling architectures designed for modern AI infrastructure.
Supported Cooling Systems
Immersion Liquid Cooling
Fully immersive cooling environments designed for high-density GPU clusters.
Direct-to-Chip Cooling
Advanced liquid cooling systems designed to remove heat directly from compute components.
These cooling systems enable:
Infrastructure Efficiency
The AHI AI infrastructure platform is engineered for high operational efficiency.
PUE Target
~1.03
For high-density AI deployments
Thermal Management
Optimized
Advanced airflow systems
Cooling Tech
Advanced
Liquid cooling architectures
Energy Systems
Integrated
Campus-scale microgrid
These efficiencies help reduce infrastructure overhead while supporting large-scale compute environments.
Manufacturer Warranty & Lifecycle Support
AI hardware deployments require predictable lifecycle support.
The AHI infrastructure platform supports manufacturer-backed hardware deployments with extended lifecycle management.
Typical hardware deployments include:
This ensures long-term stability for AI compute environments.
Fibre & Connectivity
AI clusters require high-capacity network infrastructure.
The AHI campus provides carrier-neutral fibre connectivity with multiple network paths.
Connectivity infrastructure supports:
400 Gb+ Connectivity
Network architecture supports environments suitable for AI training clusters.
Designed for Modern AI Architectures
The AHI infrastructure platform is designed to support modern AI accelerator environments including:
NVIDIA H100 / H200
NVIDIA B200 / B300 architectures
Next-generation accelerator platforms
Infrastructure design allows operators to deploy new hardware generations without major facility modifications.
Deployment Flexibility
AI infrastructure requirements vary between organizations. The campus supports multiple deployment structures including:
Hyperscale AI Infrastructure
Large-scale AI clusters deployed by hyperscale operators.
Enterprise AI Environments
Dedicated infrastructure for enterprise AI training and inference.
Sovereign AI Deployments
AI infrastructure environments designed for national or regulated compute requirements.
Infrastructure Built for AI
The AI Hub of Innovation combines energy infrastructure, modular compute environments, and high-performance connectivity to create a platform designed for the next generation of AI infrastructure.
Organizations deploying compute infrastructure at AHI gain access to:
Together these elements create a purpose-built environment for large-scale AI compute deployment.
Strategic Advantage
AI infrastructure deployment is increasingly constrained by power availability, cooling capacity, and land availability.
AHI addresses these constraints through an integrated campus designed to support long-term expansion of AI infrastructure.
The result is a scalable environment capable of supporting modern AI compute deployments at industrial scale.