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modal-gpu by benchflow-ai

Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU selection, data downloading inside functions, and result handling.

DevOps
231 Stars
165 Forks
Updated May 1, 2026, 03:15 AM

Why Use This

This skill provides specialized capabilities for benchflow-ai's codebase.

Use Cases

  • Developing new features in the benchflow-ai repository
  • Refactoring existing code to follow benchflow-ai standards
  • Understanding and working with benchflow-ai's codebase structure

Install Guide

2 steps
  1. 1

    Download Ananke

    Skip this step if Ananke is already installed.

  2. 2

    Install inside Ananke

    Click Install Skill, paste the link below, then press Install.

    https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mhc-layer-impl/environment/skills/modal-gpu

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Source & Community

Repository skillsbench
Skill Version
main
Community
231 165
Updated At May 1, 2026, 03:15 AM

Skill Stats

SKILL.md 0 Lines
Total Files 1
Total Size 0 B
License NOASSERTION

Source

GitHub Repository ↗ Commit main ↗ skill.extrachatgpt.com ↗