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Control the path of heat.

Precision liquid cooling for AI servers, HPC and data center infrastructure.

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Hyperscale AI liquid-cooling infrastructure

Real application / AI FACTORY / RACK-SCALE CLUSTERS

Hyperscale AI infrastructure

For rack-scale accelerated platforms and large AI clusters, coordinating node loads, rack loops, CDU fleets and facility heat rejection.

CHIPRACKFACILITY

Engineering focus

Liquid-cooling design priorities for this application

Application guide

What this solution is designed to solve: Hyperscale AI infrastructure

Application scenario

What this solution solves

For rack-scale accelerated platforms and large AI clusters, coordinating node loads, rack loops, CDU fleets and facility heat rejection.

Technical principle

How it works

The solution connects the heat source, liquid path, controls and facility-side heat rejection into one verifiable system boundary.

Implementation path

Rollout path

01Define the workload
02Set the liquid boundary
03Plan deployment

Step 01

Solution inputs

Rack-scale high-density accelerated computing
Coordinate cluster growth, redundancy and service cadence
Server modules, rack manifolds, CDU fleet and facility interface

Step 02

System path

1. Define the workload

Confirm sustained and peak thermal load, density, operating profile and service windows.

2. Set the liquid boundary

Map cold plates, server loops, rack distribution, CDU capacity and facility-water conditions.

3. Plan deployment

Coordinate redundancy, controls, access, commissioning and staged expansion.

Step 03

Before implementation

Coordinate cluster growth, redundancy and service cadence
Server modules, rack manifolds, CDU fleet and facility interface

Step 04 — Result

Operational outcomes

Clarifies the system boundary before equipment selection
Connects application requirements to a verifiable engineering path

Engineering details

Decision inputs and delivery evidence

Decision inputs

Rack-scale high-density accelerated computing

Validation and delivery evidence

Thermal stability under the stated load profile
Flow, pressure, leak and alarm records tied to acceptance criteria