
Modal
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Introduction
High-performance AI infrastructure for running inference, training, batch processing, and sandboxes with sub-second cold starts and instant autoscaling.
Listed on
July 24, 2026
What is Modal?
Modal is a high-performance AI infrastructure platform that enables developers to run CPU, GPU, and data-intensive compute at scale. It provides a serverless cloud environment where you can deploy inference, training, batch processing, and sandboxed workloads with sub-second cold starts and instant autoscaling. Modal is engineered for AI workloads, offering global GPU capacity, observability, and a developer experience that feels local.
How to use Modal?
- To use Modal, you start by installing the Modal Python client and creating an account. You define your compute tasks in Python code using Modal's SDK, specifying resources like GPUs and images. Then you deploy your functions or apps to the cloud, where Modal handles scaling, serving, and infrastructure. You can monitor and manage your deployments through the Modal dashboard and CLI.
Core features of Modal
- Sub-second cold starts and instant autoscaling from 0 to 1000+ GPUs
- Code-first infrastructure with Python SDK
- Support for inference, training, batch processing, and sandboxes
- Global GPU availability (H100, A100, B200, etc.)
- Integrated observability with logging and metrics
- Security features: SOC2, HIPAA, audit logs, SSO
- Pay-per-use pricing with no idle resource charges
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