Turnkey liquid cooling infrastructure for AI data centers
End-to-end liquid cooling infrastructure for AI data centers including 1MW-class cooling systems, containerized mechanical rooms, chillers/dry coolers, secondary-side piping, and 1MW-class load bank pre-validation testing. Modular design for rapid deployment.
AI-assisted directory summary. Technical specifications, performance metrics, readiness and compliance labels are unverified unless individually supported and reviewed. Proposed partnership routes do not establish supplier consent, export eligibility, or willingness to sign an NDA. Confirm claims and test conditions with the linked sources and supplier before procurement or citation.
Problem solved
Traditional data center cooling (air conditioning) becomes insufficient for high-density AI GPU racks (>40 kW/rack). Operators need a complete liquid cooling infrastructure — not just cold plates — including heat rejection, pumping, water treatment, and commissioning. Most lack in-house liquid cooling engineering expertise.
Application contexts
- AI training data centers (40+ kW/rack density)
- HPC facility upgrades from air-cooled to liquid-cooled
- Containerized / edge data centers
- Existing building retrofits for AI workloads
Technical principle
Kannetsu provides a modular liquid cooling infrastructure built around container-type mechanical rooms (40ft container housing pumps, water treatment, controls) coupled with chillers or dry coolers for heat rejection. The secondary-side piping delivers coolant to server racks. Pre-validation is performed using 1MW-class electrical load banks that simulate server heat output.
Typical use cases
- 1MW liquid cooling system for 20-25 racks of NVIDIA GB200 NVL72 servers
- Containerized cooling unit for edge data center (<2MW)
- Secondary-side piping retrofit for existing building with available chilled water
- Load bank testing of cooling system before server installation
Partnership route
How global engineering teams typically engage this asset.
Helpful to include: Total cooling capacity required (MW) · Rack density target (kW/rack) · Available space (indoor/outdoor, rooftop, container) · Coolant type preference (water, glycol, dielectric fluid) · Existing chilled water infrastructure (if any) · Project timeline and installation constraints
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Source & provenance
Translation review status: unreviewed. Publication does not establish technical verification or supplier endorsement.
Original language: JA.
Record updated: .
- AIデータセンター冷却設備 | カンネツ株式会社
https://www.kannetsu.co.jp/solution/datacenter/
Primary-source candidate; evidence review: pending.
Source accessed / recorded (collector timestamp): .
Source publication date: Not recorded.
Collector timestamps record when a source was stored, not an independent verification date. Source links provide context; they do not validate every specification, readiness label, certification, or proposed partnership route.