multi-node-training

Complete guide to distributed Ray cluster training with OpenRLHF across multiple machines.

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.
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Install (Claude Code)

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

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

Content

# Multi-Node Training

Complete guide to distributed Ray cluster training with OpenRLHF across multiple machines.

## Overview

OpenRLHF uses Ray for distributed scheduling, allowing Actor, Critic, Reward, and Reference models to span multiple nodes. Supports fault tolerance through checkpointing and automatic task rescheduling.

## Ray Cluster Setup

### 1. Start Head Node (Master Machine)

**In Docker container**:
```bash
# Launch container on master node
docker run --runtime=nvidia -it --rm --shm-size="10g" \
  --cap-add=SYS_ADMIN -v $PWD:/openrlhf \
  nvcr.io/nvidia/pytorch:25.02-py3 bash


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