https://peer.madiator.cloud/videos/watch/1df5b303-ffe1-4625-9d76-4c428d44baf3 Scale to zero and you stop paying for idle GPUs, but the next request that arrives has to wait for a worker to be built. That wait is a cold start, and in this video we break it down into its four parts: placement, container start, model load into GPU memory, and runtime init. We also cover the blunt fix everyone reaches for first (setting minimum workers to one) and why paying for a GPU 24 hours a day usually isn't the trade you want to make. The two Runpod names that come up the moment you go looking for a fix are Flash and FlashBoot, and they get confused constantly even though they work at completely different layers. Flash is our open-source Python SDK for deploying functions to Serverless: it shrinks the work before the cold start by removing the Docker build-and-push loop, so you iterate and ship faster. FlashBoot is a platform technology running underneath your endpoint that restores a worker instead of building one from scratch, cutting cold starts to under 200 milliseconds. There's no code to import and no library to install; it's a single checkbox in your endpoint settings, and we'll show you exactly where to find it. 🔗 Get started: https://www.runpod.io 💬 Join our Discord: https://discord.gg/runpod 👽 Follow us on Reddit: https://www.reddit.com/r/runpod/ Fri, 11 Sep 2026 06:17:15 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peer.madiator.cloud https://peer.madiator.cloud/lazy-static/avatars/e2927aea-9e0a-454c-9327-68ec87b4da11.png https://peer.madiator.cloud/videos/watch/1df5b303-ffe1-4625-9d76-4c428d44baf3 All rights reserved, unless otherwise specified in the terms specified at https://peer.madiator.cloud/about and potential licenses granted by each content's rightholder.