unplanned interruption rate, Llama 3 405B pre-training on up to 16,384 H100s: 419 unexpected of 466 total interruptions over a 54-day window (54 × 24 / 419 ≈ 3.1 h); >90% effective training time with automation
1 every ~3 hr (419 in 54 days)observed
| Value kind | observed — Reported measurements, counts, and specifications keep the precision and scope stated by their source; an exact specification is not treated as a range. |
|---|---|
| Scope | Whole-job interruptions for one run under Meta's event definition; not a per-GPU MTBF, an equipment AFR, facility availability or a scaling law for another fleet size. |
| Caveat | Table 5 prints 30.1% beside its 148 faulty-GPU events, but 148 of 419 is 35.3% (the 72 HBM3 events are 17.2%), so the paper's 58.7% GPU share, the sum of the printed percentages, understates the counted 64% (268 of 419). Use the counts and state your denominator. |
| As of | 2024-07 |
| Source | Meta (Llama 3 Herd of Models) · The Llama 3 Herd of Models, §3.3.4 and Table 5 |
| Review | checking…review by 2027-07-23 · standard cadence |
| Recorded changes | last 2026-10-19 · 2 revisions tracked |
| Claim id | unplanned-interruption-rate-llama-3-405b-419 |
Where the guide uses it
- 1.2 Training Data Centers: Synchronous, Dense, Checkpointable
- 9.1 Storage in the AI Lifecycle: Why It Determines GPU Efficiency
- 9.4 Checkpointing for Large-Scale Training
- 9.5 Data Ingestion, Preprocessing & the Data-Loader Path
- 10.1 Orchestration Architecture & the Scheduling Plane
- 10.5 Provisioning, Bring-Up & Infrastructure as Code
- 10.6 Observability, Telemetry & GPU Health
- 10.7 Fleet Reliability, Fault Tolerance & Autonomous Recovery
- 12.1 Resilience Standards, Redundancy Topologies & Fault-Domain Engineering
- 12.2 The AI-Cluster Reliability Rethink: Goodput vs Facility Availability
- 12.4 SLAs, Goodput Contracts & Availability Commitments
- 13.1 Commissioning Fundamentals, Levels & Program Governance
- 13.8 GPU Node Burn-In, Diagnostics & Stress Validation
- 14.1 Operational KPIs, Goodput & the Reliability Economics of AI Factories
- 14.3 Component Failure Modes, Failure Rates & Fleet Reliability Data
- 14.4 Reliability Engineering for Training (Operational)
- F Failure-Mode / FMEA Catalog
← Full numbers register — every date-stamped figure in the guide, with revision history.