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Pacific
Pacific

AI infrastructure, made physical.

Infrastructure solutions

Find the right way to deploy.

The hardware requirement and the site condition determine the starting point. Pacific brings them into a single deployment conversation.

Illustrative Pacific compute pod design study
Pacific / Modular infrastructure / Design study
01

You need the cluster.

Single-tenant bare-metal capacity built around the Pod 32 reference design. Confirm hardware, fabric, site, and acceptance requirements in one deployment plan.

Reserved capacity
02

You have the hardware.

Evaluate owned GPU hardware against the module's power, direct-to-chip cooling, and networking. Define operating responsibilities before handoff.

Colocation
03

Your permanent site needs time.

Evaluate a modular deployment while permanent power or site work continues. The plan defines the initial location and any subsequent redeployment terms.

Bridge capacity
04

The boundary matters.

Physically bound CUI with dedicated on-prem GPU infrastructure. Reduce infrastructure assessment scope while keeping certification as a separate process.

Managed on-prem
Pacific cooling infrastructure design study
Engineering fit / Power, cooling, networking, and operations Illustrative design study. Written specifications govern.
05

From requirement to plan

Make the operating assumptions explicit.

Bring the workload profile, hardware requirements, available power, and target location. Those facts shape the configuration, responsibilities, and acceptance criteria.

The next conversation

Which constraint should we solve first?

Review the capacity, site requirements, and acceptance plan with Pacific.

Discuss your deployment