Individual skill
nemo-mbridge-perf-moe-hardware-configs
Representative, point-in-time MoE training playbooks by hardware and model family. Use them as candidate seeds, then revalidate the exact runtime, semantics, topology, and steady-state throughput.
skills/nemo-mbridge-perf-moe-hardware-configs/SKILL.md
Source commit 25340619336e89bcc40365c28bfe9e790430468e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 2, 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)
- 3,900
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
BENCHMARK.mddoc · 4,931 bytesSKILL.mdcore · 7,937 bytesSKILL.mdcore · 7,937 bytescard.yamlasset · 7,011 bytesevals/evals.jsonasset · 2,270 bytesskill-card.mddoc · 4,107 bytesskill.oms.sigasset · 4,833 bytes
Read excerpt
# MoE Hardware Configuration Reference
Stable docs: @docs/training/moe-optimization.md
Card: @skills/nemo-mbridge-perf-moe-hardware-configs/card.yaml
## Quick Platform Playbook
These rows are search seeds, not hardware defaults or throughput promises.
| Platform | Candidates to screen after `alltoall` bring-up | What usually matters most |
|---|---|---|
| H100 | DeepEP or HybridEP, explicit overlap, supported FP8 modes | communication overlap, dispatcher/runtime compatibility, and PP efficiency |
| B200 | DeepEP or HybridEP, supported FP8 modes, careful PP layout | container quality and tuned communication settings |
| GB200 | HybridEP, then profile-driven graphs and CPU cleanup | host overhead, topology-aware dispatch, memory headroom |