Does this skill handle authentication between environments?

Yes, it provides specific patterns for securing Modal endpoints using API keys and HTTP Bearer tokens to ensure only your Next.js frontend can access the backend.

Why use Modal with Next.js instead of just Vercel?

Vercel is optimized for frontend and light serverless tasks, whereas Modal provides specialized GPU access, high-performance environments, and longer execution times for heavy AI and media tasks.

How does it manage long-running background jobs?

The skill demonstrates how to use Modal's .spawn() method alongside webhooks to trigger asynchronous tasks that can run far beyond typical serverless timeouts.

Can I use this for real-time AI image generation?

Absolutely, it includes specific examples for Stable Diffusion XL integration with optimized 'min_containers' configurations to minimize cold starts.

Next.js Modal Integration

Name: Next.js Modal Integration
Author: JosiahSiegel

byJosiahSiegel

•

データサイエンスとML

Bridges Next.js applications with Modal.com for high-performance AI inference, GPU workloads, and heavy serverless compute.

概要

This skill provides standardized patterns for integrating Next.js with Modal.com, enabling developers to offload compute-intensive tasks like LLM inference, image generation, and video processing from Vercel to specialized GPU-backed environments. It includes production-ready architecture blueprints, FastAPI backend setups, and secure Next.js API route implementations designed to handle long-running jobs and high-performance workflows while maintaining low latency through warm container patterns.

主な機能

Architecture patterns for heavy compute offloading
Secure webhook and CORS configuration patterns
Production-ready FastAPI and Next.js API route templates
Support for streaming responses and long-running background jobs
GPU-accelerated AI inference integration
7 GitHub stars

ユースケース

Processing large video and audio files via FFmpeg backends
Integrating Stable Diffusion or LLMs into Next.js apps
Offloading tasks that exceed Vercel's standard execution limits

概要

主な機能

Architecture patterns for heavy compute offloading
Secure webhook and CORS configuration patterns
Production-ready FastAPI and Next.js API route templates
Support for streaming responses and long-running background jobs
GPU-accelerated AI inference integration
7 GitHub stars

ユースケース

Processing large video and audio files via FFmpeg backends
Integrating Stable Diffusion or LLMs into Next.js apps
Offloading tasks that exceed Vercel's standard execution limits