Sovereign AI infrastructure for Australia
From power to intelligence.
InferaStack connects distributed compute, energy and networks into sovereign AI capacity. One energy-aware control plane matches workloads to qualified Australian sites.
How the infrastructure fits together
Our ecosystem
How to Work With Us
Choose your starting point. Agree scope before committing to capacity.
Inference pilot
Measure first
Evaluate one vision, video or LLM workload against agreed acceptance criteria.
- Vision/video is the priority starting point
- Quality, latency and throughput
- Written results and a clear next step
Dedicated GPU deployment
Customer-owned infrastructure
An Australian GPU environment under your ownership and governance.
- Workload-led system design
- Hardware, facility and support planning
- Measured acceptance before handover
InferaStack AI Grid capacity
After qualification
Register interest in reserved capacity across qualified sites.
- Currently in technical validation
- Workload and site acceptance required
- Availability confirmed after qualification
Have power, fibre and space? Discuss a site →
What We Build
Distributed sites, dedicated deployments and one workload interface.
InferaStack AI Grid
Inference where power, fibre and demand meet: strata buildings, connected facilities and battery storage sites.
- Proposed NVIDIA site systems and DSX software references
- Energy-aware orchestration designed for AWS Sydney
- Local health checks with central monitoring
Australian GPU deployments
InferaStack designs and integrates your environment. You own the hardware and governance; NEXTDC provides the facility and interconnection.
- Workload, power and cooling design
- Acceptance testing and operating handover
- Private cloud on-ramps through NEXTDC AXON
The InferaStack Gateway
A planned interface for requests, budgets and usage records. Customer access is not yet released. Explore the Gateway API preview →
Why InferaStack
Designed around your workload, data policy and site limits.
Energy-aware
Workload policy respects site power limits and local safety controls.
Sovereign and auditable
Execution locations and access controls agreed for each workload.
Client-controlled
Own your dedicated hardware and choose the models.
Measured before scale
Validate the workload, system and site before expanding.
Who It's For
For teams that need predictable GPU capacity and control over their data.
Test, measure, then scale
Evaluate model performance before committing to dedicated or reserved capacity.
Explore the pilot →Choose a controlled environment
Plan dedicated compute with agreed data location, access and retention controls.
Plan a dedicated environment →Built step by step
A measured path from one workload to qualified sites.
Talk to InferaStack
Tell us about your workload or site. Choose email or phone for follow-up.