Modal vs Baseten: Which AI deployment platform fits your stack?

Modal, Baseten, and Northflank are three distinct platforms catering to different needs in the deployment of machine learning and AI applications. Modal is a serverless platform optimized for running Python functions with GPU support, ideal for batch jobs and asynchronous tasks but limited to isolated functions without full-stack support. Baseten, on the other hand, specializes in model inference APIs for production workloads, providing enterprise-grade performance for serving ML models but also lacking in full-stack application deployment capabilities. Northflank offers a more comprehensive container-based platform that supports a wide range of workloads including full applications, with built-in Git-based CI/CD, extensive networking capabilities, and BYOC (Bring Your Own Cloud) options, making it suitable for teams requiring flexibility and production-ready infrastructure. While Modal and Baseten excel in specific areas, Northflank provides a versatile alternative for deploying both AI and non-AI workloads without being constrained by the limitations of the other two platforms.