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nemo-mbridge-perf-moe-vlm-training

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Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.

skills/nemo-mbridge-perf-moe-vlm-training/SKILL.md

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# MoE VLM Training

Stable docs: @docs/training/moe-optimization.md
Card: @skills/nemo-mbridge-perf-moe-vlm-training/card.yaml

## FSDP vs 3D Parallel

| Approach | Strength | Best fit |
|---|---|---|
| FSDP | Simplest path to a working multimodal run | first bring-up, memory-first tuning, awkward PP boundaries |
| 3D parallel | Higher ceiling after tuning | stable models with a clean PP layout and time for deeper sweeps |

For MoE VLMs, the practical workflow is usually: