Right now you pay someone else's markup on power and floor cost every hour your AI product is live. TMkNEO owns the generation, so the rate we offer you holds for the entire term, with a fixed go-live date.
A residency obligation, a security classification or your own customer contracts can require the data to stay in Australia. The question that follows is who owns the operator, and where that ownership chain ends.
Read the sovereignty positionYou have committed capacity you do not yet hold, in a region where every data centre is spoken for and every grid connection sits in a queue. What closes that gap is a firm date from an operator who sells wholesale and stays out of your market.
Read how we set the dateStanding up a GPU estate of any size means a network team, a cooling contract, a firmware programme and a support roster that covers three in the morning. Taking the capacity operated moves all of it onto our payroll and inside the service level you sign.
Read the operating modelInference is a cost line that runs every hour your product is live, and for most AI companies it is the largest single item between revenue and margin. A rate agreed before signature and held for the term turns a moving cost into a planned one.
Read the contract shapesTake one layer or all four, on one contract.
We build the factories on Australian land we own, next to Australian generation: solar, wind, gas and the grid, with storage covering the gaps. You take the hall. Power supply is our problem.
GB300 NVL72 in the first factories, then Vera Rubin as it arrives. We contract the power at the same moment as the machines, so the cost behind your rate is known before you sign.
Graphene, our platform, is where you buy the capacity, watch what you consume and pay for it. Move between the tiers as your demand settles, with one supplier.
We operate everything between a bare GPU and a model in production, on 10G and 100G links, with a dedicated government connection on the sovereign tier.
Because we own the generation, we fix your rate for the term and put your go-live date in the contract.
NVIDIA's reference architecture makes the end-of-life refresh a rack swap: one hall, ten years, three generations of silicon.
| Partner | What they bring |
|---|---|
| The GPU systems. GB300 NVL72 in the first factories, then Vera Rubin as it arrives, on NVIDIA's own reference design. | |
| Server platforms and rack-scale integration, so the machines arrive built and tested. | |
| Liquid-cooled server platforms, held as a second source on the compute line so no single supplier sets our delivery date. | |
| Networking inside the factory and the links out of it, at 10G and 100G, with a dedicated government connection on the sovereign tier. | |
| The storage platform. Training data and models held inside the factory, delivered to the GPUs at the rate they draw. | |
| Power distribution and the liquid cooling that carries the heat away from the racks. | |
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Global-scale integration and operations. Design validation, build, integration testing and handover, on the same footing they deliver for the world's largest operators. |
We contract the capacity before the factory is energised.
| Shape | Who it suits | Term | What it fixes |
|---|---|---|---|
| Sovereign Reserved | A workload under an Australian residency obligation or a security classification. | 5 years | Reserved capacity on the sovereign tier, with the assessment and residency position written in. |
| Wholesale Capacity | You sell compute under your own brand and need Australian capacity from an operator who stays out of your market. | 5 years | Whole racks, single tenant, at a rate agreed before signature and held for the term. |
| Enterprise Committed | Production load with a residency requirement and a consumption pattern that moves month to month. | 3 years | Reserved capacity with consumption on top of it, on a single bill and a single supplier. |
| Premium Inference API | Inference in production, where the cost of a token sets the gross margin of the product. | 2 to 3 years | A rate per million tokens, served in region, on an OpenAI-compatible interface. |
The detail below lets us come back with a real position: the capacity we can hold for you, the date it goes live and the contract shape that fits. The full detail follows once an NDA is in place.
Power availability decides which AI factories get built, and when. We own ours, and we own the company that runs the factory. That is why we can give you a fixed date your capacity goes live, a price that stays the same for every year of the term, and an Australian position that survives a change of shareholder.
Tell us the power you need, the workload you plan to run on it and the date you need it live. We will come back with what is available, the contract shape that fits, and the full detail once an NDA is in place.
Reserve capacity