ENERGY
Scalable Power Infrastructure for AI Compute
Modern AI infrastructure requires unprecedented levels of reliable, continuous power. The AHI energy platform delivers on-site prime generation, battery storage, solar integration, and grid interconnection—creating a scalable foundation that can grow from 10 MW to over 1 GW without dependence on constrained utility capacity.
This integrated approach eliminates the traditional power bottleneck, enabling hyperscale AI deployments to move at the speed of innovation, not infrastructure availability.
300MW
Prime Power
300MW
Battery Storage
50MW
Solar Generation
138kV
Grid Interconnection
150MW Export & Import Capability
Critical Infrastructure Questions
Key considerations for enterprise AI infrastructure deployment
Can you deliver power today
How much power pathline exists
How reliable it is
What grid access exists
How it scales for AI compute
The AI Hub of Innovation (AHI) campus is supported by a purpose-built energy platform designed specifically for high-density AI infrastructure, hyperscale data centres, and sovereign compute deployments.
Power availability is the primary constraint for AI infrastructure globally.
AHI addresses this challenge through an integrated energy platform combining on-site prime power generation, utility-scale battery storage, renewable generation integration, and dedicated transmission interconnection.
This architecture enables reliable, scalable power delivery aligned with the rapid expansion of AI compute infrastructure.
Energy Platform Overview
AHI operates a campus-scale microgrid architecture designed to deliver reliable energy for high-performance computing environments. The platform integrates multiple energy sources to provide flexibility, reliability, and scalability.
Prime Power Generation
Up to 250 MW
On-site generation capacity delivered through modular Rolls-Royce MTU reciprocating engine systems. These hydrogen-ready engines provide dispatchable power suitable for high-reliability compute environments.
Battery Energy Storage
Up to 300 MW
Battery energy storage systems (BESS) integrated into the campus microgrid supporting grid stabilization, peak load management, energy arbitrage, and resilience for AI infrastructure operations.
Solar Generation
Up to 50 MW
Solar generation capacity integrated to supplement the campus energy supply and reduce carbon intensity.
Transmission Interconnection
138 kV
Dedicated transmission interconnection to Alberta's power grid. Stage 3 AESO interconnection process with GUOC posted. 150 MW export / 11 MW import capability, expandable to 150 MW import (subject to approvals).
AI Campus Microgrid Architecture
AHI operates as an integrated energy microgrid, allowing the campus to dynamically balance generation, storage, renewable energy, and grid participation.
The microgrid platform supports large-scale AI compute deployments requiring consistent power availability.
Phased Energy Deployment
The AHI energy platform expands alongside campus infrastructure growth.
Phase 1
Prime Power Deployment
Initial 10 MW of on-site generation operational by October 2026. This first phase establishes the foundation of the campus microgrid and supports the initial deployment of AI infrastructure. Generation capacity will scale toward 240+ MW of prime power deployment year over year over 3–5 years through modular engine installations.
Phase 2
Battery Storage Deployment
Deployment of utility-scale battery energy storage systems integrated into the campus microgrid. Battery infrastructure enhances reliability while enabling grid services and energy optimization.
Phase 3
Solar Integration
Installation of 50 MW solar generation capacity integrated with the campus energy platform. Solar generation supplements power supply while supporting long-term carbon reduction objectives.
Phase 4
Hydrogen Readiness and Carbon Reduction
The energy platform is designed to support hydrogen-ready generation systems and potential carbon capture technologies, enabling progressive reduction of greenhouse gas emissions while maintaining reliable energy supply.
Reliability for AI Infrastructure
AI training clusters and high-performance computing environments require continuous power delivery and operational resilience. AHI's power platform provides multiple layers of reliability.
Redundant Generation Capacity
Multiple layers of power redundancy ensure continuous operation
Battery-Backed Energy Storage
Utility-scale storage for load smoothing and emergency backup
Transmission Grid Interconnection
138 kV connection providing import/export flexibility
Intelligent Microgrid Management
Real-time load balancing and dynamic power routing
Modular Generation Scaling
Expandable capacity aligned with infrastructure growth
This architecture supports mission-critical infrastructure uptime requirements for AI compute operations.
Power for Hyperscalers
The AHI energy platform is designed specifically to support large-scale AI infrastructure deployments. Unlike conventional data centre developments dependent solely on grid availability, AHI provides a hybrid energy environment combining on-site generation with transmission grid access.
Dedicated AI Infrastructure Power
The campus supports modular AI data centre deployments powered through a scalable energy platform.
This structure allows hyperscale operators to deploy compute infrastructure while energy capacity scales alongside demand.
Hybrid Grid + On-Site Architecture
The AHI energy platform operates as a hybrid microgrid environment, combining generation, storage, and transmission access.
AI Infrastructure Deployment Pathline
The campus energy platform supports predictable power growth aligned with AI infrastructure deployment. Operators can deploy compute infrastructure within the early phases of the campus while generation capacity continues expanding toward the full energy platform build-out. This model allows for long-term infrastructure scaling without the constraints commonly associated with grid-dependent sites.
Strategic Energy Advantage
The AHI energy platform provides a unique environment for AI infrastructure development through the combination of:
Together these systems create an energy platform designed to support next-generation AI compute infrastructure.
Future Energy Pathline
The long-term energy roadmap for the campus targets up to 250 MW of generation capacity supported by integrated storage and renewable energy systems. This scalable energy pathline enables the campus to support large-scale AI infrastructure deployments as the ecosystem grows.
Energy Built for AI
AI infrastructure requires power environments capable of supporting high-density GPU clusters and continuous training workloads.
Hyperscale AI data centres
Sovereign AI cloud deployments
Enterprise AI training clusters
High-performance computing environments
By combining generation, storage, renewable integration, and transmission access, AHI provides a scalable energy platform designed for the next generation of AI infrastructure.