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nemo-mbridge-perf-moe-optimization-workflow

nemo-mbridge-perf-moe-optimization-workflow is an agent skill published by nvidia, listed under writing code. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.

Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.

Install

skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add NVIDIA/skills

Maintenance

Stars
3735
State
listed
Licence
Apache-2.0
From the repository

Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.

nemo-mbridge-perf-moe-optimization-workflow compared with similar skills

nemo-mbridge-perf-moe-optimization-workflow compared with other skills for the same job, by publisher, what it does, repository stars and last update
SkillPublisherWhat it doesRepo starsLast update
nemo-mbridge-perf-moe-optimization-workflow (this page)nvidiaEvidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, th…3,7352026-10-26
cudaq-importing(same repository)nvidiaUse when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the sourc…3,7352026-10-26
cuopt-numerical-optimization-api(same repository)nvidiaLP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with an…3,7352026-10-26
cuopt-routing-api-python(same repository)nvidiaVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routin…3,7352026-10-26
cupynumeric-install(same repository)nvidiaInstall and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of sc…3,7352026-10-26
cupynumeric-migration-readiness(same repository)nvidiaPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins…3,7352026-10-26
doca-common(same repository)nvidiaUse this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and ne…3,7352026-10-26

Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.

Common questions about nemo-mbridge-perf-moe-optimization-workflow

What does nemo-mbridge-perf-moe-optimization-workflow do?
Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.
How do I install nemo-mbridge-perf-moe-optimization-workflow?
Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
Who publishes nemo-mbridge-perf-moe-optimization-workflow?
nvidia.
Is nemo-mbridge-perf-moe-optimization-workflow maintained, and what licence does it use?
Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.

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