# fsdp

> FSDP2 is a rewrite of PyTorch's Fully Sharded Data Parallel (FSDP) API, removing the FlatParameter abstraction for better composability and simpler impleme

- Source: https://doutorai.pt/en/components/skills__fsdp
- Type: Skills
- Category: AI research
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

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

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/fsdp && curl -fsSL https://doutorai.pt/data/lib/skills__fsdp.md -o .claude/skills/fsdp/SKILL.md
```

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

## Content

```
# FSDP2 in TorchTitan

## Why FSDP2?

FSDP2 is a rewrite of PyTorch's Fully Sharded Data Parallel (FSDP) API, removing the `FlatParameter` abstraction for better composability and simpler implementation.

### Key improvements over FSDP1

- **DTensor-based sharding**: Sharded parameters are `DTensor`s on dim-0, enabling easy manipulation and communication-free sharded state dicts
- **Better memory management**: Deterministic and lower GPU memory (7% reduction) by avoiding `recordStream`
- **Simplified API**: Fewer arguments, no wrapper class

### Performance

On Llama-7B with 8x H100s, FSDP2 ac

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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## Save hours every week with AI, no hassle

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__fsdp