GPU Compute Capacity AssetOverviewCapacity AssetCertificationMonetizationTokenizationSecondary Markets
GPU Compute Capacity Asset
Lifecycle Stage 2

GPU Compute Capacity Asset

A standardized economic asset representing GPU-hours, accelerator-hours, FLOPS, tokens/second of measurable ai computing infrastructure capability under defined operating conditions.

Productive InfrastructureAI Computing Infrastructure
Capacity AssetGPU Compute Capacity Asset
Primary UnitsGPU-hours, accelerator-hours, FLOPS, tokens/second
Economic Proceedson-demand usage charges, reserved-capacity payments, inference charges, and managed compute-service revenue
Certification Basismetered GPU-hours, jobs completed, tokens processed, and reserved capacity
Value Driversaccelerator class, utilization, performance per watt, scarcity, and contract duration

Measurement Boundary

GPU-hours, accelerator-hours, FLOPS, tokens/second define the canonical capacity units.

Attributable Evidence

Metered gpu-hours, jobs completed, tokens processed, and reserved capacity establish the operational record.

Economic Characteristics

Scarcity, utility, durability, demand, transferability, and revenue potential determine institutional relevance.