AI CLOUD INFRASTRUCTURE
Deploy and scale GPU workloads on high-performance AI infrastructure designed for training, inference, and enterprise compute
The AI Hub of Innovation provides high-density compute infrastructure designed for modern AI workloads.
Organizations can deploy workloads through multiple models including cloud compute, private clusters, or Bring-Your-Own-Compute (BYOC).
Infrastructure is powered by dedicated energy systems, advanced cooling technologies, and high-speed connectivity designed for large-scale AI training and inference.
Cloud & Compute Deployment Models
AI Cloud
GPU-accelerated cloud compute designed for AI training, inference, and data processing.
Ideal for:
Dedicated AI Clusters
Reserved GPU clusters deployed for organizations requiring dedicated compute capacity.
Ideal for:
Private AI Infrastructure
Private compute deployments inside secure environments with dedicated infrastructure.
Ideal for:
BYOC (Bring Your Own Compute)
Organizations deploy their own GPU infrastructure inside AHI data centre environments.
Ideal for:
Example AI Cluster Deployment
A typical AI Super Cluster deployment at AHI
Cluster Size
1
AI Super Cluster
GPU Count
4,096
GPUs
Power Draw
6.5
MW
Revenue Capacity
$50M
Annual potential
This deployment model demonstrates the scale and economic viability of AI infrastructure at AHI
High Performance GPU Infrastructure
AHI infrastructure supports modern AI accelerator architectures used for training and inference.
Supported architectures include:
NVIDIA H100
NVIDIA H200
NVIDIA B200
NVIDIA B300
Clusters are deployed in 6–8 MW Modular Super Clusters, designed for high-density AI workloads.
Each cluster is optimized for:
Infrastructure Built for AI Workloads
AI clusters require infrastructure specifically designed for GPU density, cooling performance, and power reliability.
The AHI campus integrates:
Immersion Liquid Cooling
Direct-to-Chip Cooling
Ultra-Low Water Usage Cooling Systems
These technologies allow GPU clusters to operate at high density while maintaining industry-leading efficiency.
Typical System Efficiency
~1.03
PUE
Enterprise Hardware Standards
All infrastructure deployed within the AHI environment operates using enterprise-grade hardware with full manufacturer support.
Compute infrastructure benefits include:
This ensures long-term reliability for mission-critical AI workloads.
High-Speed Connectivity
AI workloads require extremely high-bandwidth networking between clusters and external systems.
AHI infrastructure provides:
This allows clusters to support:
400Gb+
Network Connectivity
Power Infrastructure for AI Compute
The AHI campus integrates dedicated energy infrastructure designed specifically for AI workloads.
Power platform includes:
Prime Power
250 MW
On-site generation
Battery Storage
300 MW
Energy storage
Solar Integration
50 MW
Renewable energy
Grid Interconnection
138 kV
Transmission access
This hybrid system ensures reliable power delivery for high-density GPU clusters.
Why AI Workloads Deploy at AHI
Key advantages include:
Together these systems create an environment designed specifically for large-scale AI infrastructure deployment.
Deploy AI Infrastructure
Deploy GPU workloads on infrastructure designed specifically for modern AI compute.
Contact the AHI team to explore cloud compute, dedicated clusters, or BYOC deployments.
Request Deployment Information