chokepoints.ai
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10 layers580 nodes2,376 dependencies9 chokepoints112 bottlenecks6,500+ companiesnode size = companies identified

In-rack liquid-cooling hardware (cold plates, manifolds, QDs, rack CDUs)

BOTTLENECK

CoolIT and a few fabricators hold the only qualified capacity for rack CDUs and QDs, so AI rack rollouts can outpace second-source output.

Cold plates, manifolds, quick-disconnects, and rack CDUs supplied with compute systems. Determines whether high-density AI racks can operate within thermal limits. Cold-plate fabricators capture premium on custom work; QD and CDU supply is binding capacity constraint.

Liquid-cooling hardware supplied as part of the compute system, including cold plates on GPU/CPU packages, in-tray and in-rack manifolds, blind-mate quick-disconnects (QDs), and rack-level coolant distribution units (CDUs); distinct from the facility cooling supply chain in L3.5.

What the evidence shows

Standard lead times are 16-24 weeks for CDUs and 12-16 weeks for cold plates under normal production conditions.

thecoolingreport.com

Lead times currently run 12-18 months for quality CDUs.

mlq.ai
RESCORED JUL 2026fragmentedscaling11 companies

Who controls it

JetCoolCoolITMotivair+8 more tracked

No independently verified market-size figure is published for this node yet.

Where it sits in the stack

Takes in: Copper/aluminium cold-plate stock, manifold tubing, blind-mate QD couplings, rack CDU pumps and heat exchangers, coolant

Sends on: Direct-to-chip liquid loop integrated into the server tray and rack, transferring GPU/CPU heat to the facility cooling loop (L3.5)

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Related nodes

Accelerator module and baseboard designAI server OEMsODM and white-box AI server manufacturersSystem integrators for AI infrastructureRack mechanical hardware and open-standards bodiesThermal interface materials (TIMs) and vapour chambers

Full scorecard, owner shares, supply edges and the full tracked roster are in the desk letter.

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