distributed

Lightning supports multiple distributed strategies with a single parameter change.

Skills
AI research
0

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.

Install the skill (command above).
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Install (Claude Code)

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

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

Content

# PyTorch Lightning Distributed Training

## Distributed Strategies

Lightning supports multiple distributed strategies with a single parameter change.

### 1. DDP (DistributedDataParallel)

**Default strategy for multi-GPU**:

```python
# Automatic DDP on all available GPUs
trainer = L.Trainer(accelerator='gpu', devices=4, strategy='ddp')

# Or auto-detect
trainer = L.Trainer(accelerator='gpu', devices='auto')
```

**How DDP works**:
- Replicates model on each GPU
- Each GPU processes different batch
- Gradients all-reduced across GPUs
- Model weights synchronized

**Launch**:
```bash
# Light

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