{
 "id": "5.10",
 "slug": "leak-detection-flow-and-pressure-sensing",
 "url": "/parts/liquid-cooling-it-side-chip-to-cdu/leak-detection-flow-and-pressure-sensing",
 "name": "Leak detection, flow & pressure sensing",
 "qualifiers": null,
 "layer": {
  "id": 5,
  "name": "Liquid cooling (IT-side: chip to CDU)"
 },
 "parent_id": null,
 "children": [],
 "summary": "Sensors and systems that detect coolant leaks and monitor flow rate and pressure throughout the liquid-cooling loop, feeding alerts to rack and row controls.",
 "description_md": "Because a leak in a direct-to-chip loop sits centimeters from live electronics, leak detection is a safety-critical layer that runs alongside the physical plumbing described elsewhere in this section: cable- or rope-style sensors laid along cold plates and manifolds detect moisture at the point of a leak, while flow and pressure sensors at the CDU and manifold level watch for the drop in flow or pressure that signals a blockage or a failed connection. These feed into the rack/row cooling controls (5.11) that can shut off flow to an affected branch or alert facility staff before a small leak becomes tray-level or rack-level damage. As liquid cooling scaled from pilot deployments to the default configuration for AI racks, the number of monitored points per rack rose with the number of quick disconnects and manifold branches it has to cover. Investors should watch this as a volume-driven category tied to liquid-cooled rack count rather than a design-differentiated one, though reliability and false-alarm rates differentiate vendors competing for hyperscale-scale deployments.",
 "ai_delta": "Liquid cooling becoming the default configuration for AI racks raised the number of leak, flow, and pressure monitoring points needed per rack, tracking the growth in quick disconnects and manifold branches.",
 "bottleneck_status": null,
 "scale_tiers": [
  "enterprise",
  "hyperscale_building",
  "ai_campus",
  "gw_class"
 ],
 "density_modes": [
  "liquid",
  "hybrid"
 ],
 "scale_notes": "Monitored point count scales with the number of quick disconnects and manifold branches in the rack, which itself tracks liquid-cooled GPU density.",
 "flow": [
  "heat"
 ],
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   "role": "manufacturer",
   "confidence": "inferred",
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   "product_note": null,
   "note": null,
   "source_url": null
  },
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   "name": "Honeywell",
   "role": "manufacturer",
   "confidence": "inferred",
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   "product_note": null,
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  },
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   "ticker": "6861.T",
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  },
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   "company_id": "nvent",
   "name": "nVent",
   "role": "manufacturer",
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   "ownership_type": "public",
   "ticker": "NVT",
   "product_note": null,
   "note": "RLE",
   "source_url": null
  },
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   "company_id": "schneider-electric",
   "name": "Schneider Electric",
   "role": "manufacturer",
   "confidence": "inferred",
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   "ticker": "SU.PA",
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   "name": "Sensirion",
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   "company_id": "vertiv",
   "name": "Vertiv",
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   "ticker": "VRT",
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   "note": null,
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  },
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   "company_id": "endress-hauser",
   "name": "Endress+Hauser",
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  },
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   "company_id": "ifm",
   "name": "IFM",
   "role": "manufacturer",
   "confidence": "inferred",
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   "ticker": null,
   "product_note": null,
   "note": null,
   "source_url": null
  },
  {
   "company_id": "ttk",
   "name": "TTK",
   "role": "manufacturer",
   "confidence": "inferred",
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   "product_note": null,
   "note": null,
   "source_url": null
  }
 ]
}