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raydata

Official

Develop, test, and deploy Ray Data jobs at scale.

Data & Analytics#workflow#production#GPU#data-processing#ray-data#distributed-computing
AuthorSerendipityOneInc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Automates the development lifecycle of Ray Data jobs.

Core Features & Use Cases

  • Local development on A10 with remote SSH, virtual environments, and code storage at /data/srp/raydata/code/.
  • Slurm-based testing on H100/H200 with apptainer for GPU/CPU coordination.
  • Production deployment on RayCluster with runtime-env configuration and ray job submission.
  • Scheduling and orchestration with Airflow for periodic runs.
  • Example workflows include image classification and vision-language pipelines using Ray Data.

Quick Start

Connect to an A10 development machine using SSH. Create a virtual environment: python3 -m venv my_venv; source my_venv/bin/activate Install dependencies: pip install ray[data] transformers Pillow torch Place your code under /data/srp/raydata/code/ Run a local test: python /data/srp/raydata/code/your-job.py

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: raydata
Download link: https://github.com/SerendipityOneInc/srp-claude-code-marketplace/archive/main.zip#raydata

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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