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Beacon AI Centers: Harry Smith AI Hub Data Center

Beacon AI Centers Harry Smith AI Hub Data Center is located at Duffield Rd, Duffield, Alberta T0E 0N0, Canada. The gross building size for this location has not been provided. The gross colocation space is not available for this data center. No power information has been offered for this location. We found 20 data center locations within 50 miles of this facility. No certifications are specified for this location.
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IaaS
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About Harry Smith AI Hub Data Center

The Harry Smith AI Hub Data Center is a planned next-generation digital infrastructure facility developed by Beacon AI Centers, designed to support the rapidly growing demand for artificial intelligence (AI), machine learning, and high-performance computing (HPC) workloads. Once completed, the facility will provide large-scale infrastructure optimized for GPU clusters, advanced compute platforms, and data-intensive AI training environments.

The planned hub reflects Beacon AI Centers’ strategy to build purpose-built AI infrastructure capable of supporting hyperscale deployments and enterprise AI workloads. The design focuses on high-density compute environments, scalable modular architecture, and advanced power and cooling systems tailored to the requirements of next-generation AI applications.

The Harry Smith AI Hub is expected to play an important role in enabling organizations to deploy large-scale AI infrastructure with access to reliable power, advanced cooling technologies, and high-capacity connectivity.

⚙️ Facility Highlights

  1. Planned AI-focused data center campus
  2. Designed for high-performance computing and GPU-intensive workloads
  3. Purpose-built infrastructure optimized for AI and machine learning deployments
  4. Modular architecture enabling scalable expansion
  5. Intended to support hyperscale and enterprise AI deployments
  6. Future-ready infrastructure designed for next-generation compute platforms

🔌 Power Infrastructure

  1. High-capacity utility power infrastructure planned
  2. Designed to support large-scale GPU clusters and high-density compute
  3. Redundant electrical architecture for resilient operations
  4. Infrastructure expected to support multi-megawatt deployments

❄️ Cooling Infrastructure

  1. Cooling architecture designed for high-density AI and HPC environments
  2. Planned support for advanced cooling methods such as liquid cooling
  3. Energy-efficient systems intended to optimize performance and operational efficiency
  4. Environmental monitoring for optimal thermal management

🌐 Connectivity & Network Access

  1. Planned carrier-diverse connectivity architecture
  2. Designed to support high-bandwidth AI training workloads
  3. Low-latency connectivity expected to major cloud and network hubs
  4. Infrastructure supporting hybrid and distributed compute environments

🔐 Security & Compliance

  1. Planned multi-layer physical security architecture
  2. Controlled access systems and monitored facility entry points
  3. CCTV surveillance across critical infrastructure areas
  4. Designed to support enterprise and regulated workloads

💼 Who It Serves

  1. AI and machine learning infrastructure providers
  2. Hyperscale cloud operators deploying AI clusters
  3. Research institutions and advanced computing organizations
  4. Enterprises deploying GPU-intensive analytics and AI training
  5. Technology companies building next-generation AI platforms