Does Modal support GPUs?

Yes. T4, A10G, A100, and H100 GPUs provisioned on demand with per-second billing.

No. Modal builds containers automatically from your Python dependencies.

Does Modal scale to zero?

Yes. Functions spin down when idle. You pay nothing when not running.

Does Modal support web endpoints?

Yes. Expose functions as HTTP endpoints for APIs and webhooks.

Does Modal support cron jobs?

Yes. Schedule functions to run on any cron expression.

How fast do containers start?

Cold starts under 5 seconds. Warm containers respond in milliseconds.

Does Modal support volumes?

Yes. Persistent volumes for storing models, datasets, and cached data across function runs.

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Modal — Serverless Cloud for AI/ML Without Infrastructure

Modal runs Python functions on cloud GPUs and CPUs without managing servers. Write a function, add a decorator, and Modal handles provisioning, scaling, and GPU allocation. No Docker, no Kubernetes, no cloud console — just Python code that runs in the cloud.

GPUs on Demand

Need an A100 GPU for model training? Add @app.function(gpu="A100") and Modal provisions it. Training finishes, GPU releases. You pay per second of compute, not per hour of idle hardware.

Serverless Python

Modal is not just for ML. Run any Python function serverlessly — web scrapers, data pipelines, batch processing, and API endpoints. Automatic scaling from zero to thousands of containers.

Modal vs AWS SageMaker

SageMaker requires notebooks, training jobs, endpoints, and IAM configuration. Modal needs one Python file with decorators. SageMaker for enterprise ML ops. Modal for fast iteration.