nemo-mbridge-perf-moe-vlm-training

Installation
SKILL.md

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:

  1. get the first reliable run with FSDP
  2. stabilize real-data input, recompute, and memory behavior
  3. move to 3D parallel only if the throughput headroom is worth the extra work

Rounded Findings From Recent VLM Runs

Installs
1
GitHub Stars
822
First Seen
4 days ago
nemo-mbridge-perf-moe-vlm-training — nvidia-nemo/megatron-bridge