How to Deploy AI & LLMs with RunPod Serverless

Most developers don't need to OWN a GPU — they need one for the 90 seconds it takes to answer a request. In this video I sign up for RunPod live on camera, deploy FLUX.1-schnell as a serverless endpoint, and prove the whole story with real numbers: ▶️ Sign up to a working AI endpoint — no sales calls, no contracts ▶️ What a cold start actually looks like (worker boots from zero) ▶️ The FlashBoot difference: 13-minute cold start → 131ms warm response ▶️ Firing 20 concurrent requests and watching the worker pool scale ▶️ The final bill — pennies per image, exactly $0 when idle Everything I demo is reproducible from the public repo, including the notebook: https://github.com/sourangshupal/runpod-serverless-demo ➡️ Ready to try it yourself? Sign up here: https://fandf.co/4xaI3kV First thing to do after signing up: create an API key (Settings → API Keys), deploy a serverless endpoint from the Hub, and send your first request — the whole path takes under 10 minutes.