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How Runpod works and how to work it — pods vs serverless, GPU/VRAM selection, storage, building a container, networking, plus the agentic pod development loop…
Runpod usage (concepts) Background knowledge for making the right choice before you act. This skill runs nothing — once you know what to do, execute with runpod-mcp/runpodctl (infra), flash (your own code), or companion-clis (models/images/data). This skill explains; the golden paths demonstrate. When the question is really "how do I do X" rather than "how does X work", the verified end-to-end example is the faster answer — runpod/golden-paths/README.md. Read the concept here, then follow the path. Read the one reference file that matches the question: Question Read First-run setup / auth — get + set RUNPOD_API_KEY, SSH, companion creds reference/getting-started.md Pods vs serverless, workers, cold starts, FlashBoot, queue vs load-balanced reference/concepts.md The development loop for ANY workload (start here) — plan → prefer prebuilt → provision → verify → teardown reference/development-loop.md Stand up / iterate a workload on a pod — the pod sub-loop reference/pod-workflows.md Deploy / iterate a serverless endpoint — Hub vs flash vs custom, invoke + verify reference/endpoint-workflows.md Install software on a pod — package hygiene, uv, non-interactive, caching reference/on-pod-setup.md Build a Docker image Runpod can run (handler contract, Dockerfile, --platform=linux/amd64) reference/docker.md How to build an image well — base image, layering, bake-in vs volume, pod vs serverless (queue/LB) contract reference/building-images.md Where data lives — container disk vs network volume, model caching, S3 access reference/storage.md Which GPU / how much VRAM / which CUDA version / cost & availability / data centers reference/gpu-selection.md Why a stopped pod may not restart with a GPU — pods are bound to one machine; what else is per machine reference/pods-and-machines.md Endpoint releases, rolling updates, version overlap, GitHub builds reference/endpoint-builds-and-releases.md Storing API tokens and keys as secrets and referencing them from env vars reference/secrets.md Reaching a pod or endpoint over HTTP (proxy URLs, exposed ports) reference/networking.md Common mistakes and how to avoid them reference/gotchas.md Exact facts: the concept files The reference files explain. For a precise fact, or a rule an action must satisfy, read the concept files in concepts/ next to this file. There is one YAML file per concept (pod.yaml, network-volume.yaml, machine.yaml, …), each with its fields, states, relations and rules, and every rule cites the public source it comes from. grep -il "volume disk" concepts/*.yaml # find the concept by name or alias grep -n "statement:" concepts/pod-volume-disk.yaml rules[].statement is the fact. see: points at related rules on other concepts. A rule with conflict: true records two public sources that disagree. Give both readings. A kind: process file explains a flow step by step. pod-deployment.yaml covers deploy, stop and restart, including why a restart can fail while the data center has stock.
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