
You sign long-term contracts because they make a cluster financeable and the operation predictable. You sell the hours those contracts leave open into the short-term on-demand market, where published rate cards put the premium at roughly a fifth to a half per hour — though in an oversupplied quarter it narrows, and on a clearing market it can invert. You serve both from the same cluster under one control plane, and that is how idle time gets pushed towards a minimum. Basis: published research, not our own operating records. Execution-idle is measured at 19.7% of in-execution time on a large academic AI cluster (arXiv:2604.04745, April 2026), and the compute share comes from a production deployment of more than 20,000 GPUs, where SM activity rose from 16% to 33% (MuxFlow, arXiv:2303.13803). The revenue figure is a model calculation from those measurements and published rental prices — the assumptions are on the monetization page. If your cluster is already shared and contracted end to end, this number is not yours and we will say so on the first call.
of the hours you already sell, the accelerator sits idle
real compute share per accelerator once one cluster serves many tenants
additional revenue per installed accelerator, no new accelerators or fabric
You launch a cloud product on your own brand and reach first revenue in weeks rather than quarters.
You put installed capacity to work under a licensed stack instead of becoming a software company first.
You run assured capacity under your own jurisdiction, on hardware and a legal footing you control.


































