Menu

Individual skill

hyperpod-performance-debugger

Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyperpod-nccl, hyperpod-version-checker, hyperpod-issue-report) for any remediation. Triggers on uneven NCCL across nodes, straggler node, FSx slow, checkpoint slow, dataloader slow, filesystem bottleneck, FSx throughput, cross-AZ latency, topology mismatch.

plugins/sagemaker-ai/skills/hyperpod-performance-debugger/SKILL.md

Read pinned source

Source commit fbefb3764e67558fe10ac834dd85db49734aa9b6

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
937
Repository last updated
Nov 5, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# HyperPod Performance Debugger

1. **Uneven NCCL performance across nodes** — workload faster on some node sets than others, pairwise bandwidth variance, suspected straggler.
2. **Poor filesystem performance** — training stalled on data loading, checkpoint save/load dominating step time, FSx throughput saturated.

## Scope and delegation

Route findings outside the two in-scope scenarios to the owner skill below.

| Concern observed                                                       | Route to                                                     |
| ---------------------------------------------------------------------- | ------------------------------------------------------------ |
| GPU hardware fault, ECC, NVLink, Xid, DCGM diagnostics, drain/replace  | `hyperpod-node-debugger` (§ F Hardware/Auto-Repair, § G GPU) |
| `Cannot allocate memory` at `os.fork()`, root volume exhausted         | `hyperpod-node-debugger` (§ I Resource Exhaustion)           |
| NCCL timeouts, hangs, AllReduce stalls, EFA TCP fallback, RDMA memlock | `hyperpod-nccl`                                              |