GPU Compute Capacity AssetOverviewCapacity AssetCertificationMonetizationTokenizationSecondary Markets
AI Computing Infrastructure
Digital Infrastructure

AI Computing Infrastructure

Operating at institutional scale as the GPU Compute Capacity Asset, measured through GPU-hours, accelerator-hours, FLOPS, tokens/second.

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
CAPACITY

Defined Productive Capability

The infrastructure boundary, operating conditions, measurement period, and canonical units establish the asset definition.

EVIDENCE

Operational Performance

Metered gpu-hours, jobs completed, tokens processed, and reserved capacity provide the evidence required to establish attributable capacity.

ECONOMICS

Asset-Specific Proceeds

On-demand usage charges, reserved-capacity payments, inference charges, and managed compute-service revenue define the economic engine for this Capacity Asset.