// AI news · 2026-11-03 · NVIDIA
NVIDIA Releases Open-Source Tool for Diagnosing AI Workload Failures
NVIDIA releases Attribution, an open-source tool that correlates workload logs, metrics, and scheduler state to produce structured failure diagnoses.
Published 2026-11-03 07:39 (Beijing time)Source NVIDIAAuto-summarised, fact-checked against source
01Summary
It includes a REST API service and a Python orchestrator supporting major schedulers and telemetry sources. Used in production across AI infrastructure, it analyzes millions of workloads weekly and identifies hardware failure patterns on specific host and switch ports. The diagnosis pipeline includes scope definition, observation collection, event correlation via deterministic rules, and structured output with root cause, affected nodes, and symptoms.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Correlates logs, metrics, and scheduler state across distributed AI workloads.
- Supports Slurm, Kueue, Loki, Kubernetes, and PromQL as telemetry sources.
- Identifies failure patterns on specific host and switch ports in production clusters.
- Delivers structured diagnosis with root cause, affected nodes, and symptom chain.
03Source
Diagnose Distributed AI Workload Failures with NVIDIA Attribution
NVIDIA · published 2026-11-03 07:39 Beijing time
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