AI & GPU infrastructure

Application

AI & GPU infrastructure

Training and inference clusters concentrate large thermal loads into a small number of racks.

Category

Computing environment

Approach

Context first, system second

Content

Illustrative demo

GPU server hall with rows of high-density racks

Context

AI training and inference clusters place large numbers of accelerators in close proximity. The result is a thermal load concentrated in fewer racks than a traditional hall would hold.

Engineering challenge

Moving heat away from the chip reliably — and keeping the infrastructure adaptable as equipment generations change faster than buildings do.

How we approach it

Engineered around this environment.

Direct-to-chip liquid cooling at the rack
Row-level coolant distribution with redundancy
Headers sized for future density
Controls aligned with cluster operations

Discuss this environment

Explore the technology

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Start a conversation

Let's engineer your next cooling system.

Tell us about your facility, computing requirements and thermal infrastructure challenges.

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Technical enquiries

Facility

Location & type

Computing

Density & load

Stage

Concept → build

Response

Engineering team

Start a conversation

Let's engineer your next cooling system.

Tell us about your facility, computing requirements and thermal infrastructure challenges.

Discuss Your Project

Technical enquiries

Facility

Location & type

Computing

Density & load

Stage

Concept → build

Response

Engineering team

Start a conversation

Let's engineer your next cooling system.

Tell us about your facility, computing requirements and thermal infrastructure challenges.

Discuss Your Project

Technical enquiries

Facility

Location & type

Computing

Density & load

Stage

Concept → build

Response

Engineering team