IREN Prince George

IREN Limited is a publicly traded digital infrastructure and AI cloud provider headquartered in Sydney, Australia, founded in 2018 (formerly known as Iris Energy). The company develops and operates large-scale data center campuses designed for high-performance computing (HPC), artificial intelligence (AI), and advanced compute workloads. IREN’s infrastructure strategy focuses on deploying facilities in regions with abundant renewable energy and strong connectivity to support energy-intensive compute environments.

One of the company’s flagship facilities is the Prince George Data Center located in Prince George, British Columbia, Canada. The site supports large-scale computing infrastructure powered by renewable energy and is engineered to accommodate high-density workloads such as AI training and inference. IREN has increasingly positioned its infrastructure to support the growing demand for AI cloud services and GPU-based computing, expanding its capacity to host thousands of high-performance GPUs within the Prince George campus.

⚙️ Facility Highlights

Data Center Footprint:

1. Prince George data center campus located in British Columbia, Canada
2. Strategic location with access to renewable hydroelectric power
3. Campus designed for large-scale compute infrastructure and expansion

Facility Design & Infrastructure:

1. Operational 50 MW data center campus supporting high-performance computing workloads
2. Approximately 12 acres of freehold land engineered for scalable infrastructure deployment
3. Air-cooled facility architecture optimized for large-scale compute density
4. Maximum rack densities designed to support high-performance workloads

Service Portfolio Overview:

1. AI cloud infrastructure and GPU compute environments
2. High-performance computing infrastructure for AI training and inference
3. Data center capacity supporting large-scale compute platforms

🔐 Security & Compliance

Infrastructure Resilience:

1. Data center architecture designed for high availability and continuous compute operations
2. Power infrastructure supporting large-scale GPU deployments and high-density workloads

Physical & Logical Security:

1. Controlled facility environments and monitored operations
2. Segregated infrastructure supporting enterprise and hyperscale deployments

Compliance & Standards:

1. Infrastructure designed to align with enterprise operational standards for large-scale compute environments
2. Facilities located in stable regulatory environments supporting secure data processing

🌐 Connectivity & Carrier Access

Carrier Neutrality:

1. Network connectivity supporting enterprise and hyperscale interconnection

Network Capabilities:

1. Dual fiber connectivity paths providing resilient network access
2. High-capacity network connectivity suitable for data-intensive workloads
3. Infrastructure optimized for large-scale compute clusters and AI platforms

Connectivity Use Cases:

1. AI model training and inference workloads
2. High-performance computing environments
3. Large-scale GPU clusters
4. Cloud infrastructure deployments

💼 Who It Serves

1. Artificial intelligence and machine learning platforms
2. Cloud service providers
3. Research institutions and HPC users
4. Enterprises requiring large-scale compute infrastructure
5. Organizations deploying GPU-accelerated workloads