Does this skill support GPU acceleration?

Yes, it supports a wide range of GPUs including NVIDIA T4, L4, A100, H100, and B200 for accelerated computation and model training.

What is the Modal Claude Code skill used for?

It is used to run Python functions in the cloud, leveraging serverless containers and high-performance GPUs for tasks like ML inference, batch processing, and scheduled jobs.

Can I store data across different function runs?

Yes, Modal provides a Volumes feature that allows for persistent storage of data, model weights, and caches across multiple function invocations.

How does autoscaling work with this skill?

Modal automatically scales your Python functions from zero to thousands of containers based on demand, ensuring you only pay for the compute you actually use.

Modal Cloud Compute

Name: Modal Cloud Compute
Author: Zehong-Wang

byZehong-Wang

0•

クラウドインフラストラクチャ

Deploy and scale Python applications in the cloud using serverless containers, specialized GPUs, and automated infrastructure management.

Modal Cloud Compute is a specialized Claude Code skill that empowers developers to run Python-based workloads in the cloud without the overhead of managing traditional infrastructure. It enables the seamless deployment of machine learning models, high-performance batch processing jobs, and GPU-accelerated APIs by providing declarative control over container images, hardware requirements (including H100 and A100 GPUs), and autoscaling behavior. This skill is ideal for AI/ML engineering, scientific computing, and data processing tasks where rapid scaling and access to high-performance hardware are critical.

主な機能

010 GitHub stars

02Integrated secret management for secure handling of API keys and environment variables.

03Declarative container image building with support for system packages and Python dependencies.

04Provisioning of high-performance GPUs including H100, A100, and L40S for ML training and inference.

05Serverless Python execution with automatic scaling from zero to thousands of containers.

06Persistent storage through Modal Volumes for sharing data and model weights between runs.

ユースケース

01Running massive parallel batch processing jobs on large datasets.

02Deploying and serving LLMs or image generation models via scalable web endpoints.

03Scheduling compute-intensive scientific tasks or periodic model retraining.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos modal

For use in Claude.ai and ChatGPT

Download Skill