Deploy private AI infrastructure
with less site friction.
AIZ plans modular Air Node deployments for organisations that need dedicated high-density AI capacity, clearer infrastructure control, and an alternative to facility-led buildouts. The current architecture has a 57kW per-cabinet design rating, a 72kW maximum design envelope, and an indicative PUE target below 1.17 within the simulation boundary. Prototype validation is in progress, and every deployment remains subject to configuration and site review.
Suitable for industrial, commercial, warehouse, and regional environments where organisations want private AI infrastructure without defaulting to a full conventional data-hall project.
A deployment model shaped around private infrastructure realities.
Deployment Flexibility
Where the selected servers and site are suitable for Air Node, controlled air cooling and defined interfaces can reduce site-specific cooling construction and retrofit scope.
Accelerated Deployment
AIZ focuses on pre-engineered enclosure delivery, defined interfaces, and reduced site-specific construction. Actual timing depends on site readiness, power, validation, supply scope, and approvals.
Platform Adaptability
Server platforms are assessed against a repeatable physical, electrical, thermal, network, and operational framework, helping infrastructure decisions remain useful as workload requirements evolve.
What we assess before deployment.
From first discussion to deployment planning.
A deployment discussion is usually most productive when there is already a candidate site, an approximate power position, a likely workload direction, and a reason to prefer private infrastructure over a shared-tenancy model.
We review workload profile, deployment objectives, timing, and infrastructure priorities to determine whether the AIZ model is a suitable fit.
We confirm site conditions, interface requirements, access constraints, and environmental factors so deployment planning is based on real operating conditions.
Where suitable, we outline a proposed architecture path, deployment assumptions, and the next commercial or engineering steps for the opportunity.
The project moves into detailed planning for delivery, installation, commissioning, and operational handover appropriate to the agreed scope.
Have a site, power context, or private AI workload in view?
Start with a deployment assessment. The best early inputs are expected workload, likely available power, site type, timing, and whether the opportunity is a direct deployment or a broader site-led pathway discussion.
Common deployment questions.
How do I know whether AIZ is a fit for our site?
AIZ is typically assessed for industrial, commercial, warehouse, and regional sites where floor area, power availability, network connectivity, access constraints, and ambient conditions can support enclosure-led deployment. Early fit is usually clearer once likely available power, site type, and workload direction are known.
How long does deployment take?
Deployment timing depends on site readiness, power position, engineering review scope, and the deployment class under discussion. AIZ is designed to support a faster path than conventional facility-led buildouts, but each opportunity still requires assessment, planning, and confirmation of operational fit.
What should we prepare for an initial deployment discussion?
The most useful starting inputs are expected workload, likely available power, site type, timing, connectivity context, and any key operational constraints. There is no single public minimum power figure that applies to every deployment, because requirements depend on workload class, enclosure configuration, cooling path, and redundancy assumptions.
Do we need a conventional data hall first?
The deployment model is designed to reduce dependence on a full conventional data-hall build, while still requiring engineering review and suitability confirmation for each site.
How does AIZ assess deployment performance?
AIZ assesses performance against the selected server configuration, workload assumptions, thermal design, validation scope, and real site conditions. Public design targets are not site-independent guarantees.
How can Air Node reduce site retrofit scope?
Air Node combines controlled air cooling and defined deployment interfaces within the modular architecture, helping reduce site-specific cooling construction where the selected server configuration and site are suitable.
How does AIZ compare with public cloud GPU options?
AIZ is aimed at organisations that want more infrastructure control, more predictable workload placement, and a site-led deployment model rather than relying entirely on shared public cloud capacity. The right choice depends on workload profile, data-control requirements, deployment timeline, and the economics of long-term infrastructure use.
Does AIZ operate only in New Zealand?
No. AIZ is based in Christchurch, New Zealand, but public website enquiries are open to organisations assessing deployment opportunities in other regions as well. Site suitability, infrastructure context, and commercial scope are reviewed case by case.
Planning a site-specific
AI infrastructure deployment?
Share your workload profile, deployment objectives, and site context. We will respond with an initial infrastructure assessment and next-step guidance.