4.14

Who makes chassis for AI data centers

The sheet-metal chassis and mounting rails that trays slide into, and the enclosure (the rack cabinet itself) that houses the whole assembly.

The chassis and rails are the mechanical structure underneath everything else in this layer: sheet-metal trays hold the boards (4.03, 4.04) in place and mount into rails that let a tray slide in and out of the rack enclosure (4.14a) for service. Some rack-scale ODMs build their own cabinets in-house rather than sourcing a separate enclosure, which is notable because it signals how much of the rack's value they're capturing beyond just tray assembly. AI racks change the mechanical design problem in a few ways: liquid-cooling plumbing has to be routed through the chassis alongside cabling, and higher tray weight from liquid-cooling hardware and denser boards puts more load on the rails and enclosure frame than a conventional air-cooled server rack does. For investors, this tier is largely a mechanical-engineering and manufacturing-scale business rather than a technology one, so the interesting split is between the enclosure makers who sell a general-purpose cabinet platform across many customers and the ODMs who build cabinets in-house specifically to keep that margin themselves.

AI delta: Liquid-cooling plumbing routed through the chassis, plus the added weight of cold plates, manifolds and denser boards, puts more mechanical load on rails and enclosures than a conventional air-cooled server rack requires.

Foxconn and Quanta build NVL72 cabinets in-house.

Appears at:Enterprise / small coloLarge colo / hyperscale buildingAI campusGW-class campus· cooling:any — mechanical demands rise with tray weight and plumbing complexity as density increases, even though the part category itself is present at every scale.

Companies on this part (5)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
Chenbromanufacturerpublic8210.TW764 TWD-4.5%inferred
Foxconn (Hon Hai)manufacturerpublic2317.TW245 TWD-1.6%inferred
King Slidemanufacturerpublic2059.TW9755 TWD-3.2%inferredrails
Wistronmanufacturerpublic3231.TW190 TWD-2.6%inferred
AICmanufacturerprivateinferred

Enclosures 4.14a

CompanyRoleOwnershipTickerPrice1dConfidenceNote
EatonmanufacturerpublicETN366 USD-1.7%inferred
LegrandmanufacturerpublicLR.PA124 EUR+0.4%inferred
nVentmanufacturerpublicNVT125 USD-2.4%inferred
Schneider ElectricmanufacturerpublicSU.PA231 EUR-1.4%inferred
VertivmanufacturerpublicVRT194 USD-0.2%inferred
Chatsworthmanufacturerprivateinferred
Panduitmanufacturerprivateinferred
Rittalmanufacturerprivateinferred

Who competes here

The same table read the other way: every company above competes for chassis, rails, rack enclosures sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Seen in real machines

chassis, rails, rack enclosures is named in 2 of the rack teardowns and supercomputer breakdowns on this site. Each line below is a piece of that machine. The companies shown are the ones named on that line, not necessarily the maker of this part.

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Questions about chassis, rails, rack enclosures

What are chassis, rails, rack enclosures?
The sheet-metal chassis and mounting rails that trays slide into, and the enclosure (the rack cabinet itself) that houses the whole assembly.
Which companies make chassis for AI data centers?
This catalog lists 5 companies on Chassis, rails, rack enclosures, 4 of them with listed equity: Chenbro, Foxconn (Hon Hai), King Slide, Wistron, AIC.
How does AI change demand for chassis, rails, rack enclosures?
Liquid-cooling plumbing routed through the chassis, plus the added weight of cold plates, manifolds and denser boards, puts more mechanical load on rails and enclosures than a conventional air-cooled server rack requires.
How reliable are these chassis, rails, rack enclosures supplier placements?
The 5 placements on this part break down as 5 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON