Microsoft: hotspot-aware cooling for AI data centres

A student consulting project for Microsoft, through The Knowledge Society, on cooling AI data centres with less energy.

Cooling can use up to 40% of a data centre's energy. Standard cold plates spread coolant evenly across a chip, but AI chips heat unevenly, so most of that cooling goes where it is not needed.

Our team of four recommended hotspot-aware cold plates. Narrow, densely packed coolant channels sit over the hottest parts of the chip and wider channels over the cooler parts. We modelled a rollout to 10% of Microsoft's data centres, 30 sites, starting in 2030, and built a simulation to show how the cooling responds as the workload moves across a chip.

Numbers

These figures are our team's estimates from public sources, not Microsoft's own numbers.

From the deck

Title slide: Hotspot-Aware Cooling for AI Data Centres, Precision Flow Optimization for Thermal Efficiency. A precision coolant flow system in 10% of Microsoft's data centres, 30 sites, could unlock $2.4B in savings by 2050 and prevent over 6 million tons of CO₂.
The proposal in one slide.
Slide explaining the design. Hotspot areas of the chip get narrower, densely packed coolant channels that pull away more heat. Cooler areas get wider, spaced-out channels that reduce flow resistance and save pump energy.
How the coolant is routed.
Financial overview slide with a line chart of net change from 2025 to 2050: about $5 million for research in 2025, about $15 million for deployment in 2030, rising to about $2.4 billion saved by 2050.
The financial model, 2025 to 2050.

Have a project like this? Email me at me [at] gabrieldalton.com