How to connect Convex to RunPod for serverless GPU workloads

A technical guide explains how to connect the Convex backend platform with RunPod to execute serverless GPU workloads for AI/ML tasks. This architecture addresses the challenge of running computationally expensive jobs, such as video compression or AI-powered background removal, in a cost-effective, on-demand manner. The workflow involves a Convex action triggering a RunPod serverless endpoint, which processes a file and then uses a secure upload URL to save the result directly back into Convex storage. This asynchronous pattern allows developers to integrate powerful open-source models requiring GPUs without blocking the main application or managing persistent infrastructure.