Data Center Infrastructure
Also known as: Data centre (British spelling) · DC infrastructure · Colocation facilities (a hosting segment)
Definition
Data center infrastructure refers to the physical and facility systems that house and operate computing at scale — server and storage hardware, networking, racks and containment, power distribution and redundancy (UPS, generators), cooling (air and increasingly liquid cooling for high-density AI compute), and the physical-security and monitoring systems binding them. The discipline covers both hyperscale cloud facilities and enterprise/on-premises data centers, and is being reshaped by the AI-buildout era’s demand for GPU-dense racks supplied by OEMs such as AMAX Engineering, Dell, HPE, and Supermicro. (Wikipedia — Data center)
Identities
| Source Type | Identity |
|---|---|
| Wikipedia | Data center |
| Wikidata | Data center (Q1420286) |
| DBpedia | Data_center |
| ProductOntology | N/A |
| Wiktionary | N/A |
| LCSH | Data processing centers |
| MeSH | N/A |
| NCBI Taxonomy | N/A |
| AGROVOC | N/A |
| Google Scholar | data center infrastructure cooling power AI compute |
| ConceptNet | N/A |
| OpenCyc | N/A |
Also Known As
- Data centre (British spelling)
- DC infrastructure
- Colocation facilities (a hosting segment)
Usage Scenarios
1. Cloud and AI Capacity Buildout
GPU-cluster “AI factory” facilities with liquid cooling for high-density racks.
2. Enterprise On-Premises Estates
Corporate data centers running systems of record.
3. Colocation and Edge
Multi-tenant facilities and metro edge sites closer to users.
Strategies
- Redundancy tiering (the Uptime Institute Tier I–IV classification) matched to workload criticality.
- Power-usage-effectiveness (PUE) optimization and cooling innovation.
Security and Safety Measures
- Physical security, environmental monitoring, and fire suppression standards.
- Power redundancy (N+1, 2N) and failover governance.
Historical Context
From proprietary mainframe rooms (1960s) through the internet colocation boom (1990s), hyperscale cloud (2000s–10s), to the AI-factory era (2020s) with rack densities that make liquid cooling mainstream.
Challenges and Controversies
Energy and Water Footprint
Data-center power and water draw generates siting and sustainability disputes.
Supply-Chain Concentration
Accelerator and hardware supply is concentrated among few vendors.
Related Topic
- Enterprise computing
- AMAX Engineering
- IBM
- Silicon Valley