Is it possible to schedule recurring tasks?

Absolutely. Modal supports scheduled jobs using standard cron syntax or periodic intervals, allowing for automated data processing or maintenance tasks.

What is the Modal Claude Code Skill?

It is a specialized capability that helps Claude assist you in deploying Python code to Modal's serverless cloud for high-performance computing, GPU tasks, and scalable APIs.

Can I use Modal for persistent data storage?

Yes, Modal Volumes provide persistent storage that can be mounted to your cloud functions, making it easy to store model weights, datasets, and cache files.

Does Modal support specialized hardware like GPUs?

Yes, Modal provides easy access to various NVIDIA GPUs, ranging from cost-effective L4s to high-performance H100s, H200s, and B200s for training and inference.

How does autoscaling work in Modal?

Modal automatically scales your Python functions from zero to thousands of containers based on current demand, ensuring low latency and cost-efficiency.

Modal Cloud Compute

Name: Modal Cloud Compute
Author: Sologa

bySologa

0•

Data Science & ML

Deploys and runs Python applications on serverless cloud infrastructure with automatic scaling and GPU acceleration.

Modal is a high-performance serverless platform that simplifies running Python code in the cloud without managing infrastructure. It enables developers to execute compute-intensive tasks on powerful GPUs, scale functions horizontally to thousands of containers, and build robust serverless APIs. Whether you are training large language models, processing massive datasets in parallel, or scheduling recurring data jobs, Modal provides the environment and specialized hardware needed for modern AI and data science workloads while ensuring you only pay for the compute you use.

Key Features

01Automatic horizontal scaling from zero to thousands of containers based on demand.

02Persistent storage via Modal Volumes for sharing data and model weights between runs.

03Declarative environment management using custom Modal Images and dependency pinning.

04Instant access to powerful GPUs including H100 and B200 for AI/ML workloads.

050 GitHub stars

06Secure secret management for handling API keys and sensitive environment variables.

Use Cases

01Running massive parallel batch processing jobs for data science and analytics.

02Deploying and serving Large Language Models (LLMs) and diffusion models for inference.

03Building and deploying serverless web APIs and scheduled cron jobs without server management.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sologa/codex-pipeline modal

For use in Claude.ai and ChatGPT

Download Skill