Modal

Modal is a serverless cloud platform built for developers who need to run AI workloads at scale without managing infrastructure. You write Python code locally, define compute resources (CPU, memory, GPU), and Modal automatically handles deployment, scaling, and execution across its global cloud. Unlike traditional cloud platforms that require container orchestration knowledge, Modal strips away complexity—your code scales from zero to thousands of GPU instances instantly based on demand.

Highlights

• Serverless GPU inference with automatic scaling from zero to full capacity
• Python-first development experience with simple decorators for defining compute requirements
• Global compute network with support for custom dependencies and large model weights
• Real-time monitoring, logging, and debugging directly from your local development environment
• Integrated handling of sandboxed execution, making it safe for untrusted code

Modal works best for developers, AI researchers, and teams building production inference APIs, training pipelines, or batch processing systems. The platform offers a free tier for experimentation and small workloads, with pay-as-you-go pricing for production use—you only pay for compute time consumed, with no upfront costs or idle fees.