Modal
Serverless AI infrastructure for running inference, training, and batch jobs with GPUs and sub-second scaling.
Features
- Python decorators for serverless functions
- Elastic GPU scaling with scale-to-zero
- Inference, training, and batch processing
- Sub-second cold starts
- Built-in storage and multi-cloud capacity
- $30/month free compute
Modal is serverless AI infrastructure for developers. Define workloads in Python with decorators—no YAML or config. Run LLM inference, fine-tuning, batch jobs, and more with elastic GPU scaling and sub-second cold starts. Modal handles containers, scaling, and observability. Used by Substack, Lovable, and ML teams, it offers a $30/month free tier and pay-as-you-go pricing. Deploy with one command and scale to thousands of GPUs on demand.
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