nemo-mbridge-perf-moe-hardware-configs
CommunityGuides optimal MoE training configs by hardware.
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Helps engineers select and tune MoE training configurations tailored to specific hardware platforms and model families, summarizing throughput bands, parallelism patterns, and tuning stacks to save time and optimize performance.
Core Features & Use Cases
- Hardware platform playbooks for MoE workloads across DSV3, Qwen3, and Qwen3-Next.
- Representative config families with dispatcher, VPP, and CUDA graph guidance to improve throughput and efficiency.
- Cross-cutting patterns and environment recommendations (CUDA knobs, CPU tuning) to accelerate production-ready training setups.
Quick Start
Refer to the Quick Platform Playbook to tailor MoE training configurations for your hardware and model.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nemo-mbridge-perf-moe-hardware-configs Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#nemo-mbridge-perf-moe-hardware-configs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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