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Nvidia ai networking fabric review

Skill Raishin/vanguard-frontier-agentic/skills/nvidia/nvidia-ai-networking-fabric-review

Use this skill when reviewing NVIDIA AI networking fabrics — Spectrum-X Ethernet or InfiniBand topology, NCCL collective tuning, RoCEv2 lossless DCQCN/PFC config, adaptive routing, congestion control, and east-west isolation between training jobs. Trigger when the user asks whether the fabric is non-blocking, whether NCCL chooses the right transport, whether PFC/ECN is configured correctly, or whether the deployment meets NCP-AIN expectations.From its SKILL.md

Install
npx -y skills add Raishin/vanguard-frontier-agentic --skill nvidia-ai-networking-fabric-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 20 stars20 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.5 KB, 440 tokens by cl100k_base, as published. Nobody here has run it

NVIDIA AI Networking Fabric Review

Purpose

Review NVIDIA AI fabric configuration against the NCP-AIN body of knowledge: rail-optimized topology, NCCL collective communication tuning (NCCL_TOPO, NCCL_IB_HCA, NCCL_NET_GDR_LEVEL), RoCEv2 lossless DCQCN/PFC, InfiniBand subnet manager and partitioning, adaptive routing, and tenant/job east-west isolation.

Lean operating rules

  • Prefer live evidence (ibstat, ibdiagnet, nccl-tests all_reduce_perf baselines, ethtool -S, switch QoS counters) when the active client exposes it; otherwise fall back to NVIDIA Spectrum-X / Quantum InfiniBand documentation and sanitized topology diagrams.
  • Separate confirmed facts from inference. If NCCL transport selection, PFC posture, or partition keys were not directly queried, say so.
  • Treat a non-rail-optimized topology presented as rail-optimized as a critical finding — collective performance claims are wrong.
  • Treat RoCEv2 deployed without PFC + ECN (DCQCN) as a high finding — lossless behavior is not provided; goodput collapses under congestion.
  • Treat default NCCL settings on multi-rail systems as a medium finding when published baselines are missing — transport selection is unverified.
  • Treat shared partition keys (PKey 0x7FFF / default) across tenants on a multi-tenant InfiniBand fabric as a high finding — east-west isolation is absent.
  • Treat absence of nccl-tests baselines stored alongside the cluster spec as a medium finding — regressions cannot be detected.
  • Treat subnet manager running on a single switch with no failover as a high finding for production fabrics.

Response minimum

Return, at minimum:

  • the scoped target (fabric type, generation, scale) and evidence level,
  • topology and rail posture,
  • NCCL transport and tuning posture,
  • lossless/PFC/ECN posture (RoCEv2) or PKey/partition posture (InfiniBand),
  • tenant isolation posture,
  • safe next actions and assumptions or blockers.

What ships with it: 1 file

1.3 KB alongside SKILL.md

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