https://peer.madiator.cloud/videos/watch/0b6dd55d-7031-4d81-b067-ca32ace9f72a Your model runs on your laptop. Now your app needs to call it. Here's how Runpod Serverless turns it into a GPU-backed API that scales up with traffic and all the way down to zero when nobody's using it, so an idle endpoint costs you nothing. We cover how endpoints and workers actually work, queue-based vs. load-balanced endpoints, all the ways to deploy (only one of which involves Docker), how to call your endpoint, what you're paying for, and when a Pod is the better choice. Used Runpod Serverless before? Jump to 4:38 for what's new in 2026: batch jobs, worker affinity, GitHub deploys with rollback, multi-GPU workers, and REST API v2. REST API v2 announcement: https://www.runpod.io/blog/runpods-rest-api-v2-is-here-one-api-for-your-entire-gpu-stack Migrating from v1: https://docs.runpod.io/api-reference-v2/migrate-from-v1 CHAPTERS 0:00 Why serverless? 1:16 Endpoints and workers explained 2:00 Queue-based vs. load-balanced endpoints 2:31 Ways to deploy 2:59 Deploying from the Runpod Hub 3:26 Calling your endpoint: run vs. runsync 3:56 Delay time, execution time & cold starts 4:22 Monitoring requests and logs 4:38 New in 2026: Batch jobs 5:05 Worker affinity 5:21 GitHub deploys with rollback 5:32 Multi-GPU workers 5:45 REST API v2 (v1 retires Nov 15) 6:04 When NOT to use serverless 6:32 Recap + deploy your first endpoint COMMUNITY Docs: https://docs.runpod.io Discord: https://discord.gg/runpod Reddit: https://www.reddit.com/r/RunPod/ Tell us in the comments what you're trying to deploy. If you get stuck, Reddit and Discord are the fastest places to get help. #Runpod #Serverless #GPU #AIInference #MLOps Sat, 03 Oct 2026 23:46:49 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/0b6dd55d-7031-4d81-b067-ca32ace9f72a 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.