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nemo-automodel-distributed-training

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Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.

skills/nemo-automodel-distributed-training/SKILL.md

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# Distributed Training in NeMo AutoModel

## Purpose

NeMo AutoModel uses PyTorch-native distributed training.
All parallelism is orchestrated through a single `MeshContext` object that
holds device meshes, strategy configs, and axis names.
<!-- NVSkills catalog signing requested after PR #2937 (2026-07-31). -->

## Instructions

For conceptual distributed-training questions, answer directly from the quick
patterns in this skill without inspecting the repository. Start with the
strategy choice, then list only the YAML fields and constraints relevant to the
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