Modal and the End of the Serverless GPU Cold Start

Serverless computing promised a frictionless experience, but the reality for many AI developers has been a cycle of waiting for containers to warm up and GPUs to initialize. In this episode, we dive deep into Modal, the platform challenging the cloud giants by building a custom container runtime and scheduler from the ground up specifically for high-performance AI workloads. We explore technical breakthroughs like GPU snapshots that slash cold starts from fifteen seconds to under three, and the financial "51% rule" that helps teams decide between serverless and bare-metal infrastructure. From massive concurrency in video generation to the hurdles of running architectural simulations in Linux-native environments, we examine how Modal is reshaping the way we think about compute. Discover why the next generation of AI applications requires a fundamental shift in how we manage infrastructure.