Training goodput: stipulated 90%-versus-96% scenario endpoints
90% vs 96% scenariomodeled
| Value kind | modeled — Interpret this value according to its displayed kind, scope, source, and as-of date. |
|---|---|
| Scope | Stipulated endpoints for sensitivity only. They are neither measured provider outcomes nor universal targets. Chapter 14.1 reconciles productive-time boundaries; a site measures its own baseline. |
| As of | 2026-09-08 |
| Source | Guide analysis — stipulated sensitivity scenario; no claim of an industry measurement. · Chapter 14.1: stipulated sensitivity endpoints, not sampled provider results |
| Derivation | Stipulated 90% and 96% sensitivity endpoints; the named site selects and measures its own operating baseline. |
| Review | checking…review by 2026-12-08 · standard cadence |
| Recorded changes | last 2026-09-16 · 31 revisions tracked |
| Claim id | goodput-effective-training-time-industry |
Where the guide uses it
- 2.7 Simulation-Driven Design & the Digital Twin as a Design-Validation Tool
- 12.2 The AI-Cluster Reliability Rethink: Goodput vs Facility Availability
- 12.4 SLAs, Goodput Contracts & Availability Commitments
- 14.1 Operational KPIs, Goodput & the Reliability Economics of AI Factories
← Full numbers register — every date-stamped figure in the guide, with revision history.