Modal

What is Modal?

Modal is a serverless cloud platform designed for running AI and data workloads at scale. It enables developers and data teams to execute CPU-intensive, GPU-accelerated, and large-scale data processing tasks without managing underlying infrastructure. The platform allows users to bring their own code and deploy it directly to Modal's cloud environment. Users can run everything from machine learning model training and inference to data processing pipelines and batch jobs. The service automatically handles scaling, resource allocation, and infrastructure management, letting teams focus on application logic rather than DevOps. Modal is built for AI engineers, data scientists, and machine learning teams who need flexible compute resources on-demand. It supports various workload types including real-time API services, scheduled jobs, and long-running tasks, with native GPU support for computationally intensive applications. Key characteristics include a Python-first development experience, pay-as-you-go pricing based on actual compute usage, and integration capabilities with existing data and AI workflows. The platform abstracts away infrastructure complexity while providing granular control over resource specifications when needed. Modal competes in the AI infrastructure and MLOps space, positioning itself as an alternative to traditional cloud services and self-managed Kubernetes deployments for teams that prioritize simplicity and cost efficiency in running AI workloads.