The full stack from prompt to power
Sovereign AI infrastructure for Australia
InferaStack connects distributed compute, energy and network infrastructure into sovereign AI capacity. InferaStack AI Grid selects eligible resources across qualified sites; the Gateway provides the workload interface.
InferaStack AI Grid statusProof of concept · technical validation
NEXTDC Partner Program ParticipantMSI Hardware Channel PartnerBytePlus Channel Partner (Registered)AWS Partner Network Member (Enrolled)ConnectVPP Energy Integration PartnerIncubated within the ACIA ecosystemInferaStack is the company and umbrella brand. InferaStack AI Grid is its sovereign, energy-aware distributed AI compute grid, InferaStack's product in the AI grid category; sovereign colocation, the Gateway and applied AI are complementary project lines.
Distributed compute, dedicated GPU infrastructure, orchestration and applied AI.
InferaStack AI Grid evaluates compute, power, network and location signals across qualified distributed sites. The reference architecture is at proof-of-concept stage.
Dedicated GPU environments in Australian data centres. InferaStack designs and commissions the deployment; you own the hardware. NEXTDC provides the facility, certifications and interconnect.
One OpenAI-compatible service layer for InferaStack AI Grid and data-centre deployments. It meters requests, enforces budgets and stores metadata-only audit records. The software is deployed in our AWS account for development but is not released.
Developers can preview the API surface at /docs and request early access.
Record a meeting in English, Mandarin or both and get a structured note, action items on an agenda, a grounded assistant and a knowledge graph. ACIA owns and operates it; InferaStack provides the AI layer on AWS, including Amazon Bedrock, Transcribe and Polly.
InferaCard is ACIA's live multilingual AI business-card platform. ACIA owns and ships the product; InferaStack provides the AI for bilingual bios, professional headshots and intro reels.
Australia needs more AI capacity without losing control of data or power. InferaStack combines distributed energy sites, certified data centres and one orchestration layer.
Compute follows measured site load, solar, battery state and grid limits. Safety and owner policy come first.
Record the execution region per request. Store audit metadata, not prompts or completions.
You own the hardware and choose the models. One OpenAI-compatible API reduces lock-in.
Validate on the bench, then one node, then a few sites. Scale numbers remain scenarios until each gate passes.
For teams that need predictable GPU access and control over sensitive data. Site hosts and energy operators provide the supply side.
Reserve capacity for training, inference and data-heavy research without building a full on-campus cluster.
Keep identified personal or clinical data in your own environment or a certified Australian facility. Each request records where it ran.
Run assistants and always-on agents over your own records, contracts and IP with predictable capacity and per-key budgets.
Three ways in. No published price list yet — each deployment or reservation is scoped and quoted.
A dedicated GPU environment in an Australian data centre, designed and commissioned by InferaStack. Quoted per deployment, from assessment to acceptance testing.
Host a qualified node or reserve capacity on one. First sites follow bench and single-node validation.
Preview the OpenAI-compatible API surface and join the early-access list for the hosted service layer.
Contact us to discuss the right starting point.
Design first. Then one node. Then sites. Progress by acceptance results and paid demand, not by calendar.
The reference architecture is on paper. Next: test four GPUs and the admission, drain and recovery logic against a simulated power envelope.
Run one OEM-supported 8-GPU node for 72 hours, then qualify one approved field site after electrical, thermal, acoustic and energy-control acceptance.
Prove repeatability across a small set of qualified sites, then take the commercial decision on measured evidence and contracted demand. Larger figures remain scenarios.
Tell us what you need. We will explain the current stage and the next practical step.
Plan an AI deployment