87% of Australian enterprise AI routes through US-owned, CLOUD Act-exposed hyperscalers. GridMind deploys modular sovereign AI compute at your premises — in 12 weeks, not 18 months. Australian hardware. Australian data. Australian law.
NextDC, Microsoft, AWS — the large build-outs are confirmed. They will take 3–5 years and cost $50B+. Australia cannot wait. Every month of delay costs sovereign control of our most strategically critical compute layer. GridMind deploys hyperscale-equivalent hardware at any commercial site in 12 weeks.
Every AU enterprise AI query currently routes through US-owned infrastructure subject to the US CLOUD Act. AWS Sydney and Azure Australia East are American companies. A US subpoena reaches their servers regardless of where those servers sit. GridMind is sovereign by architecture, not by marketing.
The NVIDIA DGX Spark is a palm-sized AI supercomputer with a GB10 Grace Blackwell SoC and 128 GB of unified memory. Connect it to your network, register with GSOL, and begin earning idle revenue the same evening. The Spark is the lowest-risk entry point into the GridMind ecosystem — test your operations, validate your GSOL income, and scale up when ready.
Designed for cafés, retail shops, offices, and small commercial premises. The Starter delivers 4× NVIDIA RTX 4090 GPUs in an IP55 outdoor enclosure that installs beside your building exactly like a split-system air conditioner — same power connection, same installation trade, same wall footprint.
The UNIT-A1 is a single-storey modular compute pod housing Starter Plus or GridMind Enterprise server configurations. Timber-accented Kingspan PIR panel construction, rooftop HVAC cooling array, solar panels, and a secure access stair. Deploys on a concrete pad in 2–5 days. No planning permit typically required at Class 10a scale.
The UNIT-A2 is a two-storey configuration — the same Kingspan PIR modular panel system stacked, doubling floor area and compute density without doubling the site footprint. Designed for GridMind Enterprise, H200, and B200 deployments with full MCPU-M liquid cooling integration and ground-level secure access.
Every GridMind node — from a single Spark on a desk to a Sovereign rack in a data centre — connects to GSOL. During idle hours, GSOL pools that distributed capacity into a single, sovereign, Australian AI compute fabric. Buyers get access to compliant GPU compute on Australian soil. Owners earn passive income while they sleep.
Five sectors where Australian data sovereignty is not a preference — it is a legal, contractual, or operational requirement.
Every GridMind deployment generates real-time GSOL compliance attestation logs suitable for IRAP evidence packages, APRA audit submissions, and Privacy Act 2024 documentation.
GridMind is DTA Cloud Marketplace listed. All APS agencies can procure directly — no tender required below AUD 80K.
AI inference for material business functions within Australian jurisdiction. No single point of failure. Distributed resilience by architecture.
All inference on Australian hardware. No international data traversal. US CLOUD Act exposure via AWS/Azure eliminated.
GridMind nodes hardened to Essential Eight ML2. Level 3 available for Sovereign tier. GSOL enforces patch management automatically.
IRAP PROTECTED assessment target months 7–18. MIST Ergon testing provides the evidence package. GSOL compliance logs designed for IRAP from day one.
Clinical AI on Australian hardware with at-rest encryption, access logging, and geographic binding. State health records legislation satisfied.
GridMind is the first distributed AI compute company in Australia with a formal hardware validation pathway using Queensland's own distribution network operator infrastructure — 3,000A live grid testing with Real Time Digital Simulator, in Cairns.
Every GridMind deployment scales in 12-week increments. Level 10 is equivalent to a 1.5 MW hyperscale data centre — at 40–50% lower capex, deployed in 6–12 months versus 2–3 years.
| Level | Configuration | GPUs | Power | AI throughput | Hardware cost | MCPU |
|---|---|---|---|---|---|---|
| 1 — Spark | Desktop AI supercomputer | 1× GB10 Grace Blackwell | 0.45 kW | 1,000 TOPS | ~$9,000 | None |
| 2 — Starter | IP55 outdoor unit | 4× RTX 4090 | 2.1 kW | ~248 TFLOPS FP16 | ~$20,000 | None |
| 3 — Starter Plus | IP55 outdoor unit | 8× RTX 4090 | 4.1 kW | ~496 TFLOPS FP16 | ~$37,000 | None |
| 4 — Pro | IP55 outdoor unit | 4× RTX PRO 6000 Server Ed. | 2.4 kW | ~380 TFLOPS FP16 ECC | ~$78,000 | None |
| 5 — Pro Plus | IP55 outdoor unit | 8× RTX PRO 6000 Server Ed. | 4.8 kW | ~760 TFLOPS FP16 ECC | ~$129,000 | None |
| 6 — Enterprise | UNIT-A1 Kingspan pod | 8× H100 NVL | 4.6 kW | ~3.9 PFLOPS FP8 | ~$543,000 | MCPU-S |
| 7 — Enterprise Plus H200 | UNIT-A2 dual-storey pod | 8× H200 SXM5 | 8.4 kW | ~6.6 PFLOPS FP8 | ~$898,000 | MCPU-M |
| 8 — Enterprise Plus B200 | UNIT-A2 dual-storey pod | 8× B200 Blackwell | 9.7 kW | ~9 PFLOPS FP4 | ~$1.36M | MCPU-M |
| 9 — Sovereign NVL72 | UNIT-A2 sovereign config | 72× B200 (NVL72 rack) | 120 kW | ~720 PFLOPS FP4 | ~$13M | MCPU-L |
| 10 — Sovereign campus | 4× Sovereign + Enterprise cluster | 288× B200 + 64× H200 | ~600 kW | ~3 ExaFLOPS FP4 | ~$58–65M AUD | 4×L + M |
Every competitor can buy GPT-4 at the same price. What they cannot buy is the knowledge your organisation has built over years. The organisation that trains AI on that knowledge — on infrastructure they own — builds a compounding advantage no competitor can replicate.
We don't send other nations our sensitive data. We legislated data sovereignty because we recognised that national information belongs on infrastructure we control. The same logic now applies to AI inference — because running AI on your data is equivalent to transmitting that data to whoever owns the compute.
APRA CPS 230 is already in force. Privacy Act 2024 penalties already exist. The AI enforcement action hasn't landed yet — but every organisation currently sending sensitive data to offshore AI is building a compliance gap that will need to close. GridMind deploys in 12 weeks.
The organisations that build sovereign AI infrastructure now are not just ahead of compliance. They are building the foundation on which their AI competitive advantage will compound — year after year, as more institutional knowledge is embedded into models they own.
Outside your peak hours, GSOL automatically sells your idle GPU capacity on the sovereign marketplace. A school with 7 Starter Plus nodes earns $67K–$185K per year in passive income while hardware sleeps. You bought an asset that works for you 24 hours a day.
When demand spikes beyond your local hardware, GSOL routes overflow to other organisations' idle sovereign nodes across Australia — same IRAP-pathway compliance, same Australian soil, same law. Cloud bursting without foreign exposure. You scale on demand without ever leaving Australian jurisdiction.
We work with procurement, technology, and infrastructure teams. Bring your use case and compliance requirements — we'll size the correct hardware tier, model ROI, and walk through the DTA procurement pathway.
"We power Great Barrier Reef AI research." JCU Ideas Lab, Cairns — powering coral bleaching detection, cyclone prediction, and tropical disease AI. The reference deployment for every government and enterprise briefing.
founders@gridmind.com.au · JCU Ideas Lab, Cairns QLD