Building AI-Native Infrastructure for Developers | Erik Berhnardsson, CEO of Modal

Building a cloud infrastructure platform optimized for AI requires rethinking traditional developer experiences, particularly regarding GPU management and scaling. Current infrastructure often fails to handle the volatile demand of AI inference, leading to inefficient resource usage and high costs. By providing a usage-based, scalable stack, developers can iterate faster and avoid the pitfalls of long-term GPU reservations. High-agency teams thrive when given autonomy and a clear mission, minimizing the need for rigid management structures. Beyond generative media like Stable Diffusion and Suno, these infrastructure advancements enable complex computational work in fields like biotech and weather forecasting. Ultimately, prioritizing fast feedback loops and reducing organizational "handover tax" remains critical for maintaining developer productivity as AI-driven software development continues to expand.