Modal is the AI infrastructure developers love — a serverless platform purpose-built for running machine learning models, parallel compute jobs, task queues, and full web apps without managing any infrastructure. With sub-second container starts, autoscaling to thousands of GPUs, and a Python-first workflow, Modal makes it as easy to iterate in the cloud as it is locally.
From generative AI inference to fine-tuning and large-scale batch processing, Modal gives teams instant access to high-performance GPUs like A100s and H100s. Containers spin up in seconds, gigabytes of model weights load fast, and resources scale seamlessly with demand. You only pay for what you use, down to the second, so experiments and production workloads stay cost-efficient.
Beyond compute, Modal offers integrated data storage, job scheduling, debugging, and web endpoints. Developers can mount cloud volumes, set up cron jobs, or deploy HTTPS APIs without leaving Python. Whether you’re building LLMs, processing massive datasets, or deploying interactive apps, Modal combines raw power with simplicity, giving you the flexibility to move from prototype to production effortlessly.
