{
 "id": "4.14",
 "slug": "chassis-rails-rack-enclosures",
 "url": "/parts/servers-racks-and-integration/chassis-rails-rack-enclosures",
 "name": "Chassis, rails, rack enclosures",
 "qualifiers": null,
 "layer": {
  "id": 4,
  "name": "Servers, racks & integration"
 },
 "parent_id": null,
 "children": [
  "4.14a"
 ],
 "summary": "The sheet-metal chassis and mounting rails that trays slide into, and the enclosure (the rack cabinet itself) that houses the whole assembly.",
 "description_md": "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.",
 "bottleneck_status": null,
 "scale_tiers": [
  "enterprise",
  "hyperscale_building",
  "ai_campus",
  "gw_class"
 ],
 "density_modes": [
  "any"
 ],
 "scale_notes": "mechanical demands rise with tray weight and plumbing complexity as density increases, even though the part category itself is present at every scale.",
 "flow": [
  "compute",
  "power"
 ],
 "companies": [
  {
   "company_id": "chenbro",
   "name": "Chenbro",
   "role": "manufacturer",
   "confidence": "inferred",
   "ownership_type": "public",
   "ticker": "8210.TW",
   "product_note": null,
   "note": null,
   "source_url": null
  },
  {
   "company_id": "foxconn",
   "name": "Foxconn (Hon Hai)",
   "role": "manufacturer",
   "confidence": "inferred",
   "ownership_type": "public",
   "ticker": "2317.TW",
   "product_note": null,
   "note": null,
   "source_url": null
  },
  {
   "company_id": "king-slide",
   "name": "King Slide",
   "role": "manufacturer",
   "confidence": "inferred",
   "ownership_type": "public",
   "ticker": "2059.TW",
   "product_note": null,
   "note": "rails",
   "source_url": null
  },
  {
   "company_id": "wistron",
   "name": "Wistron",
   "role": "manufacturer",
   "confidence": "inferred",
   "ownership_type": "public",
   "ticker": "3231.TW",
   "product_note": null,
   "note": null,
   "source_url": null
  },
  {
   "company_id": "aic",
   "name": "AIC",
   "role": "manufacturer",
   "confidence": "inferred",
   "ownership_type": "private",
   "ticker": null,
   "product_note": null,
   "note": null,
   "source_url": null
  }
 ]
}