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3D Model
AI Architecture › MLOps & Learning
MLOps & Learning

Model Registry and Promotion States

The registry is the single source of truth for every model: its version, lineage, validation status, and a promotion state that governs whether it may act on a machine.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

One registry, explicit states

Every model artifact lives in one registry keyed by name and version. The registry is authoritative: the online layers resolve which artifact to load by querying the registry's promotion state, never by pulling a file from a directory. This makes the question who is in control right now answerable at any instant for both the breeder and the burner.

Promotion states

Transitions are one-directional through the gates and reversible only via explicit rollback. A model cannot jump from STAGING to PROD; it must pass shadow, then canary, then a promotion review. Any monitor breach in production can force a model to QUARANTINED and trigger fallback to the previous PROD version in a bounded time.

python
ALLOWED = {
 'REGISTERED': {'STAGING','QUARANTINED'},
 'STAGING':    {'SHADOW','QUARANTINED'},
 'SHADOW':     {'CANARY','STAGING','QUARANTINED'},
 'CANARY':     {'PROD','SHADOW','QUARANTINED'},
 'PROD':       {'DEPRECATED','QUARANTINED'},
}
def transition(m, to, approvals):
    assert to in ALLOWED[m.state]
    assert gates_passed(m, to) and quorum(approvals, to)
    registry.log(m, m.state, to, approvals); m.state = to

Promotion into or out of CANARY and PROD requires an approval quorum, tying the registry to the governance workflow. The registry also underpins the fleet registry: as breeder units move FOAK to NOAK to BOAK, each unit records which model version it is running so no two units silently diverge.

Content reviewed August 2026 · design-and-simulation stage