AI Apps in a Flash: Ship to GPUs Without Docker — Dean Quiñanola, Runpod

This post introduces Runpod Flash, a system designed to streamline the deployment and iteration of AI applications on cloud GPUs. It eliminates the traditional Docker build-push-run loop by allowing direct Python execution on GPUs, mimicking a local development environment. Key features include live serverless for instant iteration, endpoint-to-endpoint calls for function-like interactions, network volumes with warm caching for persistent state, and a single-command deployment process that packages and serves the application without Docker. The talk demonstrates evolving a function from text to image generation, installing dependencies on the fly, and deploying to production, as well as a hackathon project showcasing fan-out experiments across endpoints.