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OtherFreemium
MODAL LABS
Serverless cloud for Python with GPUs and scale-to-zero
Apache-2.0 (SDK only)
ABOUT
Deploying Python workloads to the cloud typically requires managing Dockerfiles, Kubernetes manifests, IAM roles, and CI/CD pipelines before you can run a single inference job. Modal collapses all of that into a Python decorator: define a function, decorate it, and it runs on managed infrastructure with GPU access, scale-to-zero billing, and built-in scheduling.
INSTALL
pip install modalINTEGRATION GUIDE
1. Run GPU-accelerated LLM inference or batch embedding jobs without managing infrastructure
2. Schedule recurring Python scripts (web scrapers, model retraining, ETL) on a cron in the cloud
3. Deploy ML model serving endpoints with auto-scaling and scale-to-zero cost control
4. Build and serve LLM-powered APIs with custom containers that include heavy ML dependencies
5. Run parallel data processing jobs across hundreds of containers with a simple map operation
TAGS
serverlesscloudgpupythondeploymentinfrastructure