veomni-debug

Debug distributed training hangs by following structured investigation protocols to isolate distribution misconfigurations. It guides you through root cause analysis and hypothesis testing to systematically resolve stalls in complex training environments.

Troubleshoot FSDP2 OOM errors by applying structured debugging protocols to isolate memory issues. The approach guides you through investigating sharding mismatches and verifying fixes to efficiently resolve out-of-memory crashes in large-scale model training.

The best way to investigate sharding mismatches is using a structured approach that guides you through root cause investigation and fix verification. This ensures accurate diagnosis of sharding errors in distributed training scenarios.

Yes, this debugging approach works for MoE and sequence parallelism errors by providing structured protocols applicable to large-scale model training scenarios. It ensures accurate diagnosis and resolution of issues across these specific distributed environments.

You need a structured protocol for error analysis when troubleshooting complex bugs, errors, or unexpected behaviors in large-scale distributed model training. It provides the necessary steps to systematically investigate, diagnose, and resolve intricate training failures.