后端与数据库

modal

davila7/claude-…emplates

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

  • 884 次安装
  • 3.3万 星标
  • 收录于

安装命令

npx skills add https://github.com/davila7/claude-code-templates --skill modal

SKILL.md

Modal

Overview

Modal is a serverless platform for running Python code in the cloud with minimal configuration. Execute functions on powerful GPUs, scale automatically to thousands of containers, and pay only for compute used.

Modal is particularly suited for AI/ML workloads, high-performance batch processing, scheduled jobs, GPU inference, and serverless APIs. Sign up for free at https://modal.com and receive $30/month in credits.

When to Use This Skill

Use Modal for:

  • Deploying and serving ML models (LLMs, image generation, embedding models)
  • Running GPU-accelerated computation (training, inference, rendering)
  • Batch processing large datasets in parallel
  • Scheduling compute-intensive jobs (daily data processing, model training)
  • Building serverless APIs that need automatic scaling
  • Scientific computing requiring distributed compute or specialized hardware

Authentication and Setup