High-density air cooling
for private AI infrastructure.
The AIZ Air Node is a 4.7 × 1.1 × 2m modular architecture designed around controlled server airflow. It has a 57kW per-cabinet design rating, a 72kW maximum design envelope, and an indicative PUE target below 1.17 within the current simulation boundary.
Simulation is complete and prototype validation is in progress. Server fit, final performance, deployment scope, and site requirements remain configuration-specific.
Best suited to organisations evaluating dedicated AI capacity in industrial, warehouse, commercial, or regional deployment environments.
Phase 1 R&D work is supported by a funding agreement with New Zealand’s Ministry of Business, Innovation and Employment (MBIE) under the New to R&D Grant Scheme. View the company update.
One product, with a clearly defined deployment scope.
The Air Node baseline combines the enclosure, filtered intake path, isolated hot-air extraction, closed-loop fan control, and monitoring interfaces. Server selection, electrical distribution, network integration, site ventilation, installation, and commissioning are confirmed for each project.
Choose the infrastructure model that fits the project.
| Consideration | Air Node Deployment | Conventional Data Hall |
|---|---|---|
| Project starting point | A selected workload, candidate site, and modular deployment requirement | A facility-scale capacity plan and data-hall programme |
| Cooling scope | Controlled intake and exhaust engineered with the enclosure | Facility-level cooling engineered across the data hall |
| Capacity path | Add capacity through assessed, repeatable node configurations | Add capacity through facility and data-hall expansion |
| Best-fit scale | Dedicated private, regional, retrofit, or staged deployments | Large centralised deployments requiring shared facility services |
| Engineering basis | Configuration-specific server and site assessment | Facility-wide design, construction, and commissioning |
This table describes different project starting points, not a universal performance or cost comparison. Final scope, timing, and suitability depend on configuration, validation, supply scope, and site conditions.
AI deployment infrastructure
must be more deployable, more repeatable, and more site-aware.
Organisations deploying modern AI workloads often need dedicated compute capacity on timelines and site conditions that conventional data-centre delivery models do not always serve well.
Deployment constraints are not only about servers. They also involve power access, site readiness, thermal control, and the practical work required to bring infrastructure into service.
AIZ focuses on the physical infrastructure layer: modular enclosures, controlled thermal behaviour, and repeatable deployment methods for private AI infrastructure.
Built for organisations evaluating dedicated AI infrastructure.
Regional Operators
Operators that need deployable GPU infrastructure without the time, permitting burden, or cost structure of a conventional facility project.
Private AI Labs
Teams that need dedicated infrastructure control, predictable workload placement, and a clear path to private AI capacity outside shared-tenancy environments.
Industrial Sites
Industrial and warehouse environments with suitable floor area, power access, and operational constraints that favour enclosure-led deployment.
Energy-Adjacent Projects
Projects evaluating how site and power availability can be aligned with modular AI infrastructure in regional or energy-linked deployment contexts.
Direct deployment or site-led partnership.
Start with a defined workload and candidate site.
For organisations planning private AI capacity, AIZ assesses the selected servers, workload, site, power, network, ventilation, and operational requirements against the Air Node architecture.
Assess suitable land and power for AI infrastructure.
For site or energy owners, AIZ evaluates whether available power, access, floor area, connectivity, and operating conditions provide a practical basis for an Air Node deployment.
Coordinate server, site, and delivery responsibilities.
AIZ works with server suppliers, integrators, site owners, and infrastructure counterparties where responsibilities and technical interfaces need to be defined across the project.
If you control a suitable site and power, AIZ can assess the Air Node fit.
The assessment considers access, available power, network connectivity, intake and exhaust options, operational responsibility, and the likely workload before a commercial pathway is proposed.
Share the location, likely power position, and intended operating role. AIZ will determine whether a deployment or partnership assessment is the appropriate next step.
Request Partnership DiscussionCommon questions about the AIZ platform.
What does AIZ currently provide?
AIZ is currently focused on the Air Node, a modular high-density air-cooled infrastructure platform for private AI compute. Final equipment supply, site integration, installation, and commissioning scope is defined for each deployment.
What deployment environments does AIZ target?
AIZ focuses on industrial, commercial, warehouse, and regional environments where dedicated AI compute needs to be deployed faster and with less site-specific construction than a conventional data-centre buildout.
How should AIZ performance statements be interpreted?
AIZ publishes engineering design figures rather than site-independent guarantees. The Air Node has a 57kW per-cabinet design rating, a 72kW maximum design envelope, and an indicative PUE target below 1.17 within the current simulation boundary. Prototype validation is in progress; final performance depends on configuration, validation scope, workload, and site conditions.
Have a site, workload, or deployment path in view?
Start with an infrastructure 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 infrastructure pathway.