A governed operating layer for GPU/cloud capacity discovery, supplier quotations, sovereign/private placement, reservation commitments, customer pricing and realised unit economics.
Translate Provider Intelligence into evidence-backed compute capabilities and capacity offers.
Compare workload placements across technical fit, cost, sovereignty, security, capacity and portability.
Separate supplier commitment economics from CRG customer pricing and target margin.
Measure verified consumption, supplier cost, customer revenue, utilisation and realised gross margin.
CRG does not seed fictional GPU availability or supplier prices. Capacity becomes actionable only when entered from a source and, where relied upon commercially, independently verified.
Every placement is assessed from 0–5 across a 100% weighted methodology. Hard residency, security or capacity blockers remain blockers regardless of the weighted score.
Accelerator, framework, performance and architecture fit for the workload.
Risk-adjusted total cost, unit economics, commitment efficiency and price durability.
Residency, jurisdiction, sovereignty and private-capacity requirements.
Security controls, tenancy model, assurance evidence and regulatory fit.
Availability, reservation certainty, supply depth and scale-up headroom.
Latency, egress, locality, interconnect and data-movement implications.
Redundancy, recovery, support, service continuity and operational maturity.
Workload portability, concentration risk, lock-in and practical exit options.
The Exchange can support CRG acting as an infrastructure sourcing, managed-cloud or compute reseller where contractual arrangements permit. It records supplier commitment separately from customer price, requires independent governance for final placement/capacity/commercial approval, and reports verified realised margin from usage evidence. It does not imply that capacity is owned, reserved or available unless an actual supplier commitment has been recorded.