@runpod

flash provides a local development-to-cloud deployment workflow for runpod serverless workloads, bridging dev testing at localhost:8888 with remote gpu/cpu provisioning via cli commands.

companion-clis documents setup and configuration for four essential CLIs (huggingface, github, docker, aws) used with runpod workflows, with platform-specific guidance for windows/wsl2 and partial procedural coverage.

Runpod's official prebuilt pod templates (ComfyUI, PyTorch, and others): what each image ships, which ports and paths it uses, how to pick one, how to pin a…

Migrate a codebase from the Runpod GraphQL API or REST v1 to REST v2 — inventory which parts use which API version, rewrite the call sites, flag breaking…

Manage Runpod infrastructure through the connected Runpod MCP server's tool calls (pods, serverless endpoints and jobs, templates, network volumes, registry…

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…

Start here for any Runpod task — running GPU/CPU pods, deploying serverless endpoints, templates, network volumes, building images, or understanding how Runpod…

Companion CLIs for Runpod workflows — HuggingFace, GitHub, Docker, and AWS. Use the ComfyUI model-repair guide in runpod-templates instead when an imported…

runpod-flash — code-first serverless: write Python locally, run it on remote Runpod GPUs/CPUs with `flash dev` (hot-reload + live worker logs), then `flash…

Runpod CLI for managing GPU/CPU workloads from the terminal — pods, serverless endpoints, templates, network volumes, Hub deploys, models, SSH, and file…

runpodctl — an installable skill for AI agents, published by runpod/skills.