A GPU Provider’s Path from Node Registration to Signed Work Receipts

The starting point

Illustrative flow: a GPU provider wants to supply suitable compute and understand how a completed AI job becomes a work record. The provider needs a benchmarked GPU, a node identity and a clear distinction between confidential hardware and the open lane. Available hardware does not itself guarantee demand or earnings.

The intended flow

The provider installs the Docker node agent. It benchmarks GPU capability, creates a node key and registers through a wallet signature. The scheduler matches suitable jobs by lane, VRAM fit, latency, stake and reputation. Completed jobs produce signed receipts; verified work accrues in USDG and enters the next cumulative receipt epoch.

Design outcome

The intended outcome is one view from node registration through job verification and hourly receipt roots. There are two compute lanes in the design and USDG is the unit of earnings. This is a specification walkthrough, with no live node count, utilization promise or projected income.