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Topic · Technology

AI Data Centers

The buildings, cooling, networking and grid connections that turn capital into compute.

AI Data Centers

Why now?

  • Rack power densities are rising far beyond traditional designs
  • Liquid cooling is becoming standard for AI clusters
  • Sites are being selected for power first and latency second

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Companies

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NVIDIA

Semiconductors & AI computing · Santa Clara, California, US

The dominant supplier of accelerated computing for AI training and inference, and increasingly a platform company spanning chips, networking, software and robotics.

Schneider Electric

Energy management & industrial automation · Rueil-Malmaison, France

Global provider of power distribution, cooling and automation systems, and a critical supplier to the AI data centre build-out.

Technology profile

Open

Where capital becomes compute.

AI data centres are purpose-built facilities that house dense clusters of accelerators, with power, cooling and networking designed for training and serving large models.

  • Grid or on-site generation delivers power through substations and switchgear.
  • Racks with far higher density than traditional servers require liquid cooling.
  • High-bandwidth networking links thousands of accelerators into a single training fabric.

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Chips, data centres, networking, power and the capital cycle behind compute.

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