Tool overview
Modal is listed under AI Infrastructure & MLOps AI tools.
What is Modal?
Modal runs Python functions, containers, web endpoints, scheduled jobs, sandboxes, notebooks, and GPU workloads on serverless infrastructure that scales to zero and bills active compute.
Best for
Python teams that need elastic serverless compute for AI workloads
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Python-native serverless functions and containers
On-demand CPU and GPU execution
Autoscaling web endpoints, jobs, sandboxes, and notebooks
Volumes, secrets, observability, and deployment rollbacks
Use cases
Deploy model inference
Run GPU training and batch work
Build web APIs and scheduled jobs
Execute isolated agent sandboxes
Pros
- Starter has no monthly platform fee
- Includes $30 monthly free compute credits
- Formal integration and implementation partner programs
Limitations
Region selection and non-preemptible execution apply pricing multipliers.
GPU and sandbox costs can rise quickly under sustained workloads.
Pricing details
Billing options
Pricing note
Starter is $0/month plus compute and includes $30 in monthly credits. Team is $250/month plus compute and includes $100 monthly credits. CPU begins at $0.0000131 per physical core-second; GPU prices vary by model.
Supported languages
- English
Integrations
Python SDK
AWS Marketplace
GCP Marketplace
Docker images
GitHub workflows
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