multi-node

Ray Train runs on a Ray cluster with one head node and multiple worker nodes.

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

Install (Claude Code)

mkdir -p .claude/skills/multi-node && curl -fsSL https://doutorai.pt/data/lib/skills__multi-node.md -o .claude/skills/multi-node/SKILL.md

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

Content

# Ray Train Multi-Node Setup

## Ray Cluster Architecture

Ray Train runs on a **Ray cluster** with one head node and multiple worker nodes.

**Components**:
- **Head node**: Coordinates workers, runs scheduling
- **Worker nodes**: Execute training tasks
- **Object store**: Shared memory across nodes (using Apache Arrow/Plasma)

## Local Multi-Node Setup

### Manual Cluster Setup

**Head node**:
```bash
# Start Ray head
ray start --head --port=6379 --dashboard-host=0.0.0.0

# Output:
# Started Ray on this node with:
#   - Head node IP: 192.168.1.100
#   - Dashboard: http://192.168.1.100:8265
`

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