ScriptAI Infrastructurev1.1

Serverless Model Deploy

by Community · open-source · Last verified 2026-03-17

Packages a trained ML model into a serverless function on AWS Lambda, Modal, or Google Cloud Run, handling cold-start optimization, dependency layering, and auto-scaling configuration. Includes health-check endpoints, structured logging, and a GitHub Actions workflow for automated rollout.

https://github.com/modal-labs/modal-examples ↗

C+

C+—Average

Adoption: B+Quality: AFreshness: ACitations: C+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: cold-start-optimization, auto-scaling, health-checks, ci-cd-integration
Integrations: modal, aws-lambda, cloud-run, github-actions, docker
Use Cases: low-traffic-inference, event-driven-ml, cost-optimized-serving
API Available: No
Language: python
Dependencies: modal, boto3, fastapi, uvicorn, docker
Environment: Python 3.10+, Docker
Est. Runtime: Deploy: 3-10 minutes
Tags: serverless, lambda, modal, deployment, mlops
Added: 2026-03-17
Completeness: 100%

Index Score

Adoption

Quality

Freshness

Citations

Engagement

Explore the full AI ecosystem on Agents as a Service