AI Factory

The term "AI factory" — popularised by NVIDIA CEO Jensen Huang — describes a new class of computing infrastructure where AI model development and inference are treated as an industrial-scale production process. Unlike traditional datacentres optimised for general-purpose computing, AI factories are designed around GPU cluster requirements: very high power density (typically 100–400 kW per rack), liquid cooling, InfiniBand or high-speed Ethernet fabric, and storage optimised for multi-terabyte training datasets.

AI factories are built by hyperscalers (Meta, Google, Microsoft, Amazon), cloud GPU providers (CoreWeave, Lambda Labs), and sovereign AI programmes. Capital expenditure for a 10,000-GPU AI factory can exceed $1 billion when including facility, power, and networking. PODTECH advises on the infrastructure due diligence, DCIM integration, and BMS design for AI factory projects.