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Solution Pathway

Deploy modular
GPU systems
with liquid
cooling support.

PAI supports compact liquid-cooled GPU deployments by aligning cooling architecture, component sourcing, rack hardware, and deployment timelines around smaller high-density compute systems.

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Modular Deployment Model

Compact GPU Node

2 to 4 GPU systems, compact servers, and smaller high-density deployment footprints.

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Liquid Cooling Layer

Cold plates, QDCs, manifolds, CDU interfaces, hoses, and rack hardware.

1

Define the GPU system

Review GPU count, server form factor, rack layout, cooling path, and deployment goals.

2

Align required components

Match cold plates, QDCs, manifolds, CDU interfaces, hoses, and rack-level hardware to the system design.

3

Coordinate sourcing and timing

Support qualified component sourcing around compatibility, production timing, and deployment requirements.

Where this fits

Smaller high-density systems still need serious cooling coordination.

Modular GPU deployments can move faster than full rack-scale builds, but they still depend on component compatibility, serviceability, coolant routing, and reliable supplier execution.

Compact deployments

Support for smaller liquid-cooled GPU systems used for inference, fine-tuning, HPC, internal compute workloads, and research environments.

Component alignment

PAI helps align cold plates, QDCs, manifolds, CDU interface hardware, hoses, and rack-level support components.

Deployment timing

Sourcing support is coordinated around lead times, compatibility, and the practical sequence needed to get systems deployed.

Planning a compact liquid-cooled GPU build?

Submit your project details for PAI review. We will evaluate GPU platform, rack layout, cooling scope, component requirements, and timeline before following up.

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