MCF-CAP-005 Availability Outcomes
Claim designAssurance level AL2Tier CP-1Evidence floor S3Critical to CG-01
Objective. Define availability Service Outcomes for each Capability Instance in units that reflect AI work actually delivered (for example usable accelerator capacity, job-serving availability), with measurement window, exclusions and tolerance, so that power, cooling and platform continuity can be assessed against a stated target.
Requirement and evidence
The capability owner shall approve, for each Capability Instance, availability Service Outcomes that state the unit of availability (for example fraction of committed accelerators schedulable and healthy, or fraction of inference requests served), the target, the measurement window, the maximum single-interruption duration, permitted exclusions (for example planned maintenance) and the data source for measurement. The capability owner shall ensure the outcomes are consistent with customer commitments (MCF-GOV-019) and impact tolerances (MCF-CAP-010).
Evidence required: E1 Documentary and declarative; E7 Derived and analytical. Optional: E3, E6. Operating states: NORMAL, MAINTENANCE, DEGRADED.
MCF-CAP-006 Performance Outcomes
Claim designAssurance level AL2Tier CP-1Evidence floor S3Critical to CG-01Supports CG-08
Objective. Define performance Service Outcomes that capture whether the infrastructure lets AI work run at its required speed (for example training goodput, step-time stability, inference latency percentiles, collective bandwidth), so that throttling, fabric congestion or storage stalls are visible as outcome failures rather than hidden behind availability.
Requirement and evidence
The capability owner shall approve, for each Capability Instance, performance Service Outcomes that state the metric (for example training goodput fraction, median and tail step time, inference latency at a stated percentile, sustained accelerator power without thermal or power throttling), target, measurement method, measurement window, workload or benchmark reference, and the infrastructure conditions under which the target applies. The AI platform owner shall ensure the measurement method is implemented and its data retained.
Evidence required: E1 Documentary and declarative; E7 Derived and analytical. Optional: E3, E4. Operating states: NORMAL, DEGRADED.
MCF-CAP-007 Integrity Outcomes
Claim designAssurance level AL2Tier CP-1Evidence floor S3Critical to CG-01Supports CG-08
Objective. Define integrity Service Outcomes for model weights, checkpoints, training data and inference results so that silent data corruption, partial writes and configuration drift are treated as outcome failures with stated tolerances and detection expectations.
Requirement and evidence
The capability owner shall approve, for each Capability Instance, integrity Service Outcomes stating which data and states are protected (model weights, optimiser state, checkpoints, datasets, configuration), the integrity property required (no undetected corruption, verified completeness, version provenance), the detection mechanism expected (checksums, end-to-end verification, accelerator error reporting), the tolerated detection latency and the required response. The data platform owner shall confirm that each detection mechanism exists.
Evidence required: E1 Documentary and declarative; E2 Configuration and technical state. Optional: E7, E6. Operating states: NORMAL, RECOVERY.
MCF-CAP-008 Recovery Outcomes
Claim designAssurance level AL2Tier CP-1Evidence floor S3Critical to CG-01Supports CG-10
Objective. Define recovery Service Outcomes for each Capability Instance (time to restore stated capacity, tolerated loss of training progress, restoration order, recovered-state verification) so that power, cooling, compute, storage, network and control-plane recovery can be assessed against a stated target.
Requirement and evidence
The capability owner shall approve, for each Capability Instance, recovery Service Outcomes that state the recovery time objective for restoring a stated fraction of capacity, the recovery point objective (for training expressed as maximum lost training time, driving checkpoint interval; for inference as maximum state or configuration loss), the restoration order of dependent services (facility power, cooling, control plane, storage, fabric, compute, scheduler), and the verification required before declaring recovery. The capability owner shall ensure these outcomes are consistent with impact tolerances and customer commitments.
Evidence required: E1 Documentary and declarative; E2 Configuration and technical state. Optional: E7, E4. Operating states: RECOVERY, FAILED, EMERGENCY.