modal

Community

Serverless Python compute with automatic scaling and GPUs.

Authorovachiever
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Modal provides serverless, on-demand Python execution in the cloud with autoscaling, GPU access, and simple deployment, enabling scalable ML workflows, batch processing, and API services without managing infrastructure.

Core Features & Use Cases

  • Serverless functions: Deploy Python code that runs in containers with autoscaling.
  • GPU acceleration: Attach GPUs for training/inference; on-demand compute.
  • Batch processing & APIs: Run large jobs and serve models via web endpoints.
  • Resource control: Fine-tune CPU, memory, disk, and secrets, with volume support.

Quick Start

Create a Modal app, define a function, and run it remotely or deploy as a service.

Dependency Matrix

Required Modules

modal

Components

references

💻 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: modal
Download link: https://github.com/ovachiever/droid-tings/archive/main.zip#modal

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