Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or libfabric errors, rendezvous failures, EFA TCP fallback, /dev/shm or memlock issues, NCCL version mismatch across pods, container OOM / exit-137 / OOMKilled, GPU OOM (CUDA out of memory), CrashLoopBackOff / Pending pods, MASTER_ADDR DNS, NetworkPolicy blocking. Not for single-node hardware faults (→ hyperpod-node-debugger § G) or cluster-creation EFA / SSM failures (→ hyperpod-cluster-debugger § A / § F).
How to install hyperpod-nccl?
awslabs/agent-plugins/hyperpod-nccl
$npx -y skills add awslabs/agent-plugins --skill hyperpod-ncclInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/awslabs/agent-plugins" --skill "awslabs/agent-plugins/hyperpod-nccl"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/awslabs/agent-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/awslabs/agent-plugins"` and select the relevant skills, then follow their instructions.
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