Amaze Contact →
Solutions

Sovereign AI, built for Australia.

Frontier and open-weight inference. Dedicated GPU pools. Multi-silicon clusters. All hosted in Australian regions, governed by Australian law, billed in Australian dollars.

What we do

Three ways to run AI in Australia.
All sovereign by default.

Pick the surface area that fits your workload. Mix freely, the same Australian backbone, control plane and billing entity sit underneath every service.

Solutions

Inside Sovereign AI.

Australian-hosted AI inference, GPU pools and multi-silicon clusters. Frontier and open-weight models, run on Australian-controlled infrastructure under Australian law.

Multimodel Inferencing

100+ models, one sovereign endpoint.

Llama, Mistral, Qwen, DeepSeek, Anthropic, OpenAI and more, served from Australian endpoints. Zero retention, no training on your data.

  • 100+ frontier & open-weight
  • Sovereign Australian inference
  • Zero retention by default
GPU-as-a-Service

GPU pools, AUD-billed.

On-demand and reserved GPU capacity for fine-tuning, batch inference and training. NVIDIA GPUs across single-GPU and multi-node pools. Rapid deployment based on custom requirements.

  • NVIDIA GPUs
  • On-demand or reserved
  • Rapid deployment
GPU & CPU Clusters

Multi-silicon clusters for training at scale.

Tightly coupled multi-node clusters for foundation-model training, large-scale batch and scientific compute. NVIDIA GPUs plus high-core-count CPUs on a low-latency Australian backbone, lower cost than offshore, AUD-billed.

  • NVIDIA GPUs
  • High-core-count CPU
  • Low-latency interconnect
Built for Australian AI workloads

One stack. Three surfaces. Zero compromise.

Frontier-API velocity, open-weight cost economics, and reserved-GPU performance, all on the same Australian platform with the same compliance envelope.

100+ models

Frontier and open-weight catalogue, hosted in ap-syd-2 and ap-mel-1.

Zero retention

Prompts and outputs discarded by default. Nothing cached across tenants.

Reserved GPU capacity

Dedicated NVIDIA GPU pools for fine-tuning and training at scale.

Carrier-grade transit

Up to 40 Gbps onto the Amaze backbone. Predictable latency, free inter-region traffic.

Why Amaze for AI

Sovereignty isn't a feature flag.
It's the architecture.

Amaze runs AI workloads exclusively on Australian-controlled infrastructure under Australian law. Built on enterprise Dell hardware, OpenStack, Fortinet security and Equinix / NEXTDC data centres in Sydney and Melbourne.

Sovereign by design

Inference never leaves Australia. No prompt caching, no training on your data, no foreign control plane.

100 % AU-hosted

Faster to value

Rapid deployment based on custom requirements. Australian onboarding, Australian support, AUD invoicing, no overseas tickets, no time-zone tax.

AU onboarding

Compliance, in the open

ISO 27001 certified controls in production. Controls mapped to Australian regulatory frameworks.

ISO 27001 certified
Security & compliance

Compliance, in the open.

The frameworks that govern how we run, store and handle data. Audit reports available under NDA.

ISO 27001

Certified

Information security management system covering Amaze production infrastructure in Sydney and Melbourne.

Tier 3 Data Centres

Australian

Equinix and NEXTDC Tier 3+ facilities in Sydney and Melbourne. Carrier-neutral, 99.9% facility uptime.

Privacy Act 1988

Compliant

Australian privacy principles enforced across data handling. Notifiable Data Breach scheme aligned.

Run AI workloads right here in Australia.

100+ frontier and open-weight models, hosted in Australia.

AI Model catalogue →
Meta Llama 3.1 70B
Meta Llama 3.1 405B
Mistral Mixtral 8x22B
Google Gemma 2 27B
DeepSeek DeepSeek-V3
Qwen Qwen 2.5 72B
Anthropic Claude
OpenAI GPT family
Cohere Command R+
Microsoft Phi-3 Medium
Stability Stable Diffusion 3
All vendors + 90 more →

We're building Australia's sovereign cloud.

Amaze's mission is clear and unwavering: To deliver sovereign AI, cloud, networking, and data centre infrastructure that seamlessly melds human ingenuity with global accessibility. We're not just about connecting devices; we're about connecting ideas, ambitions, and visions on a global scale.

Luke Iggleden Founder & CEO, Amaze

Luke Iggleden
Pick the surface that fits

Frontier velocity, open-weight economics, reserved performance.

Most teams don't pick one and never use the others. They start with the multimodel inference surface to validate the use case, graduate to reserved GPU pools when latency or fine-tunes start mattering, then move to multi-silicon clusters for production training at scale.

Same control plane, same compliance posture, same billing entity. Switch surfaces by changing a header, not by signing a second contract.

Australian infrastructure built with leading global technology

Run AI in Australia, on the terms that suit the workload.

Talk to an Australian solution architect about which surface, multimodel inference, reserved GPU, or multi-silicon cluster, fits your use case.