/* Dracula color scheme for code blocks */
:root {
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    --orange: #ffb86c; /* Orange Color */
    --pink: #ff79c6; /* Pink Color */
    --purple: #bd93f9; /* Purple Color */
    --red: #ff5555; /* Red Color */
    --yellow: #f1fa8c; /* Yellow Color */
  }

.comment {
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}

.function {
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}

.parameter{
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}

.keyword,
.token.property {
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}

.interpolation
{
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}

.string {
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}

.builtin,
.class-name
 {
    /* color: #acd1d7 !important; */
    /* color: #fff671 !important; */
    color: var(--cyan) !important;
}

.property, .variable {
    color: var(--foreground) !important;
}

.boolean,
.number{
    color: var(--purple) !important;
}

.code-block, .code-group{
    background-color: var(--background) !important;
}

.flex.rounded-t-2xl{
    background-color: var(--background-darker) !important;
}





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Synopsis

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Runpod Documentation

Explore our guides and examples to deploy your AI/ML application on RunPod.

Introduction

Welcome to RunPod

Create an account and deploy your first GPU.

Quickstart

Get started with RunPod

Manage accounts

Learn how to create, edit, and disable RunPod API keys.

Manage API keys

An overview of available methods for interacting with RunPod.

Connect to RunPod

Pay-as-you-go compute for AI models and compute-intensive workloads.

Overview

Pricing

Discover, deploy, and share preconfigured AI repos.

RunPod Hub

Test and deploy production-ready AI models using public endpoints.

Public endpoints

Publish your repositories to the RunPod Hub.

Publishing guide

Hub publishing guide

Get on-demand access to powerful computing resources.

Explore pricing options for Pods, including on-demand, savings plans, and spot instances.

Learn how to select the right Pod by evaluating your resource requirements.

Choose a Pod

Learn how to create, start, stop, and terminate Pods using the RunPod console or CLI.

Manage Pods

Learn how to connect using the web terminal, SSH, JupyterLab, or VSCode.

Connect to a Pod

Global networking

Access Logs

Instant Clusters

Deploy with PyTorch

Deploy an Instant Cluster with PyTorch

Deploy with Axolotl

Deploy an Instant Cluster with Axolotl

Deploy with SLURM

Deploy an Instant Cluster with SLURM

Fine-tune a model

dstack

Manage Pods with dstack on RunPod

Mods

Running RunPod on Mods

SkyPilot

Running RunPod on SkyPilot

Burn testing

Maintenance and reliability

Secure Cloud partner requirements

RunPod Secure Cloud partner requirements (2025)

Glossary

Serverless

Billing information

Referral programs

Serverless CPU types

GPU types

Video resources

GraphQL Spec

Run your first serverless endpoint with Stable Diffusion

Generate images with SDXL Turbo

Run Google'S Gemma Model

Run an Ollama Server on a RunPod CPU

Run your first Fast Stable Diffusion with Jupyter Notebook

Run Fooocus in Jupyter Notebook

Set up Ollama on your GPU Pod

Build Docker Images on RunPod with Bazel

How To Connect to a Pod Instance through VSCode

Fine tune an LLM with Axolotl on RunPod

APIs

API Wrapper

Endpoints

Configurations

Manage Templates

Manage Endpoints

RunPod CLI overview

Install runpodctl

Manage Pods with runpodctl

Transfer files

Transfer Files with runpodctl

Projects

Get started

Create your first project

Manage projects

runpodctl

Config

Create

Create Pod

Create Pods

Get Cloud

Get Pod

Project

Project Build

Project Create

Project Deploy

Project Dev

Receive

Remove

Remove Pod

Remove Pods

Ssh Add Key

Ssh List Keys

Start

Start Pod

Stop

Stop Pod

Update

Version

Get started

Projects

Reference

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Get started

Projects

Reference

​runpodctl send

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