Computing infrastructure encompasses the physical and virtual resources required for building, running, and delivering applications and services, including servers, storage systems, networking equipment, power systems, and cooling facilities housed in data centres. It provides the foundational capacity that IT systems require to process, store, and transmit digital data. Modern computing infrastructure increasingly extends from on-premises hardware into cloud-hosted and edge environments, and is a prerequisite for AI workloads, distributed applications, and spatial computing platforms.

Semantic Classification

Content

Core Components

Computing Resources

  • Servers: Physical and virtualized machines providing processing, memory, local storage, and network connectivity

  • CPUs/GPUs: Processing units for general and specialized computing tasks

  • Memory: RAM and cache systems for active data processing

    Storage Infrastructure

  • Block Storage: Direct-attached and SAN-based storage systems

  • Object Storage: Scalable storage for unstructured data

  • Network-Attached Storage (NAS): File-level data storage

    Network Infrastructure

  • Routers and Switches: Traffic routing and local network connectivity

  • Firewalls: Security perimeter control

  • Load Balancers: Traffic distribution across servers

    Power Infrastructure

  • Uninterruptible Power Supplies (UPS): Immediate backup power

  • Power Distribution Units (PDUs): Power management to rack equipment

  • Backup Generators: Extended power during outages

    Cooling Systems

  • Air-Based Cooling: Traditional CRAC/CRAH units

  • Liquid Cooling: Direct-to-chip and immersion cooling

  • Hybrid Systems: Combined air and liquid approaches

    Data Center Types

TypeDescription
On-PremisesOwned and operated by the organization
ColocationLeased space in third-party facilities
CloudOperated by providers (AWS, Azure, Google Cloud)
HybridCombined on-premises, colocation, and cloud
  • Data center consumption estimated at ~415 TWh (1.5% of global power)
  • Annual growth rate of 12-15%
  • AI workloads driving demand for specialized GPU/TPU infrastructure
  • Increased focus on energy efficiency and sustainable operations

Provenance