[DC.COMPUTER] Layer 12 · AI Answer Page

What is an AI datacenter?

[AI Summary]

An AI datacenter is a purpose-built facility optimized for high-density GPU computing — typically 30 kW+ per rack, direct-to-chip or immersion liquid cooling, and dedicated InfiniBand or RoCEv2 fabrics to train and serve large AI models.

[Detail]

AI datacenters differ from traditional enterprise facilities along four axes: power density (often 100 kW+ per rack vs. 5–10 kW), cooling (liquid-first instead of air-only), networking (non-blocking GPU fabrics instead of north-south enterprise networks), and PUE optimization across both IT and water. The 2025–2026 build-out is dominated by gigawatt-scale single-tenant AI factories such as Stargate Abilene, xAI Colossus 2, and Meta Hyperion.

[Knowledge Graph]

Company → Datacenter → GPU → Customer → Industry

Every entity on this site is cross-linked. Follow the graph from operators down to specific facilities, GPU clusters, customers, and sectoral context.