
High-performance AI infrastructure
Modal is a serverless AI infrastructure platform that prioritizes developer experience and performance, enabling teams to deploy ML workloads with minimal configuration overhead. The platform differentiates itself through its code-first approach, eliminating YAML files in favor of Python decorators, and its claimed sub-second cold start times that significantly outperform traditional container solutions.

Modal is a high-performance AI infrastructure platform designed to help developers and machine learning teams deploy, scale, and manage AI workloads with exceptional speed and simplicity. The platform enables users to run inference, training, and batch processing with sub-second cold starts and instant autoscaling, all while maintaining a developer experience that feels local. Modal's programmable infrastructure approach allows teams to define everything in code without YAML or configuration files, keeping environment and hardware requirements synchronized. The company offers a comprehensive suite of products including inference deployment for LLMs and generative AI, model training and fine-tuning capabilities, secure sandboxes for running untrusted code, batch processing at scale, and collaborative notebooks. Modal's AI-native runtime is engineered specifically for heavy AI workloads, boasting performance that is reportedly 100x faster than Docker. The platform features a built-in globally distributed storage system optimized for high throughput and low latency, along with multi-cloud GPU capacity that eliminates the need for quotas or reservations. Modal serves a diverse customer base ranging from startups to established technology companies, with notable users including teams building coding agents, computational biology applications, and audio/video processing systems. The platform maintains enterprise-grade security standards with SOC2 and HIPAA compliance, data residency controls, and battle-tested isolation, making it suitable for organizations with strict governance requirements.