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Site assessment

Solutions

Building and upgrading AI data centers

Three build scenarios, one systems-engineering approach.

Liquid-cooling retrofits of existing halls

Liquid-cooling retrofits of existing halls

Check floor loading, power and cooling, then use contained-aisle pods, in-row CDUs and hybrid air-liquid designs to turn legacy rooms into AI-ready space.
Container data center clusters

Container data center clusters

Multiple SwiftMDC and support containers form a cluster that goes live POD by POD. Suited to projects with a site and a tight schedule.
AI campuses

AI campuses

Integrated design and delivery of campus planning, buildings, power, cooling, networking and compute equipment.

8 MW reference design

8 MW total supply covering IT, cooling and auxiliary loads. It illustrates how the systems combine and how capacity is sized; it is not a standard product specification or a delivery commitment.

3POD6 SUs deployed in phases
3072GPUs
6.09MWIT load
1.204annual PUE (design estimate)
CDU6, one per SU
Secondary loop34/44 °C (93/111 °F), about 401.2 m³/h (1,766 GPM) site-wide
Liquid-cooled load4.67 MW
Dry coolers7 × 1 MW, primary loop 32 / 42 °C
Chillers4 × 2,000 kW, 3 duty + 1 standby

Design estimates for the reference configuration, not measured project results.

Product Handbook

Get the product handbook

Specifications, selection guidance and delivery scope for the full Rack, Container and Campus range, in one PDF.

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Your Site, Simulated

Run your own site in the twin

We'll build a digital twin from these conditions and walk you through it on a video call. Fill in whatever you know.

Site type

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Leads

Leads

Contacts from the four forms on the site. Only you and editors can see them, and each submission is also emailed to contact@gpuaidc.com.