Pacific Pod

Infrastructure service

Factory-built modular AI micro data center that integrates compute, cooling and power distribution, offered as reserved GPU capacity for training and inference, managed on-premises pods, colocation and bridge capacity for sites with spare power; commercial terms are signed after a conversation, no prices published.

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TypeInfrastructure service

RoleStandalone tool

Bought forBuy data-centre AI compute

AvailabilitySold

DeploymentSaaS, Private cloud

Intended forEnterprise

SecurityNot recorded

StatusActive

Sold withinPackaging not stated — the vendor’s page was checked and named no parent or plan

PricingEnterprise quote

Pricing, Deployment, Sold within — pacific.space · 20 Oct 2026

What it does

GPU cloud
AI compute hardware

Features 4

Reserved computeDedicated GPU capacity for training and inference.
On-premises podsManaged AI infrastructure placed where the customer's data needs to stay.
ColocationA purpose-built environment for the customer's own hardware.
Deployment on existing powerPods are built to deploy in days on pre-developed power, with deployment targeted within about three months of pre-payment, site by site.

pacific.space