One Query, Four GPUs: Tracing a Distributed Training Stall Across Nodes

Ingero, an open-source tool designed for GPU observability and incident response, has recently released version 0.9.1 with new features that enhance its capabilities in handling multi-node training environments. Here's a summary of what this update brings:

Key Features

Cluster-Level Tracing

• Fan-Out Queries: The ability to run queries across multiple nodes simultaneously, providing insights into the entire cluster.
• Offline Merge Path: Allows merging databases from individual nodes offline for investigation in air-gapped or disconnected environments.

AI-Assisted Investigation (MCP)

• Query Fleet Tool: An interface that allows an AI assistant to query the fleet directly without SSH access. Supports actions like chains (causal analysis), sql, ops, and overview.

Technical Details

1. Clock Skew Measurement:

   • The fan-out queries measure clock skew between nodes, ensuring accurate time synchronization for cross-node correlation.

2. Partial Failure Handling:

   • Results from reachable nodes are returned even if some nodes fail to respond, providing partial insights and identifying problematic nodes.

3. Cross-Node Correlation:

   • Work in progress to correlate events across multiple nodes, enabling more sophisticated

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