---
format: "aidr-story-markdown/v1"
id: "218c5dc9b18cefceb61f7895c73107c2482125dd78be514db07958fae3b7a718"
canonical_url: "https://aidr.today/218c5dc9?lang=en"
title: "Diagnose Distributed AI Workload Failures with NVIDIA Attribution"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-02T23:39:34.000Z"
category: "Open Source"
topics: ["nvidia","open-source"]
source_urls: ["https://developer.nvidia.com/blog/diagnose-distributed-ai-workload-failures-with-nvidia-attribution/"]
summary: "An open-source tool allows correlation of workload-scoped logs, metrics, and scheduler state. This tool enables a reproducible diagnosis of Distributed AI Workload Failures on a cluster."
---

# Diagnose Distributed AI Workload Failures with NVIDIA Attribution

> [Open the canonical story](<https://aidr.today/218c5dc9?lang=en>)

**Published:** 2026-11-02T23:39:34.000Z
**Category:** Open Source
**Topics:** nvidia, open\-source

## Summary

An open\-source tool allows correlation of workload\-scoped logs, metrics, and scheduler state\. This tool enables a reproducible diagnosis of Distributed AI Workload Failures on a cluster\.

## Sources

- [Story source](<https://developer.nvidia.com/blog/diagnose-distributed-ai-workload-failures-with-nvidia-attribution/>)