distributed-training

Guide to FSDP (Fully Sharded Data Parallel) distributed training in LitGPT for scaling to multiple GPUs and nodes.

Skills
AI research
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A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

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Install (Claude Code)

mkdir -p .claude/skills/distributed-training && curl -fsSL https://doutorai.pt/data/lib/skills__distributed-training.md -o .claude/skills/distributed-training/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Distributed Training

Guide to FSDP (Fully Sharded Data Parallel) distributed training in LitGPT for scaling to multiple GPUs and nodes.

## Overview

LitGPT uses **Lightning Fabric** with **FSDP** to distribute training across multiple GPUs. FSDP shards model parameters, gradients, and optimizer states to enable training models larger than single-GPU memory.

**When to use FSDP**:
- Model doesn't fit on single GPU
- Want faster training with multi-GPU
- Training models >7B parameters
- Need to scale across multiple nodes

## Quick Start

### Single Node Multi-GPU

```bash
# Train Llama 2 7B

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