# parallelism-guide

> Complete guide to parallelism in Megatron-Core: when to use each strategy, performance characteristics, and configuration examples.

- Source: https://doutorai.pt/en/components/skills__parallelism-guide
- 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).
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## Install (Claude Code)

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

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

## Content

````
# Parallelism Strategies Guide

Complete guide to parallelism in Megatron-Core: when to use each strategy, performance characteristics, and configuration examples.

## Parallelism Types

### 1. Data Parallel (DP)

**How it works**: Replicate full model on each GPU, split data batches, synchronize gradients.

**Memory**: Low efficiency - full model replication
**Communication**: Low - only gradients (all-reduce)
**Scalability**: Good for small models

**When to use**:
- Models <1B parameters that fit on single GPU
- Plenty of GPUs available
- Limited model complexity

**Configuration**:
```bash

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

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