isaaclab-training-multi-gpu
Pass
Audited by Gen Agent Trust Hub on Oct 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues detected. The skill consists of technical documentation and scripts for distributed training workflows.\n- [COMMAND_EXECUTION]: The skill utilizes standard commands for the Isaac Lab environment, such as
uv run isaaclab train_multigpu, to launch training tasks. It also usesnvidia-smito inspect system topology, which is standard practice for distributed ML.\n- [DYNAMIC_EXECUTION]: A standalone Python probe (nccl_probe.py) is provided to diagnose NCCL hangs. The script performs a simpleall_reduceoperation using thetorch.distributedlibrary to verify that inter-GPU communication is functional.
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