/* Dracula color scheme for code blocks */
:root {
    --background: #282a36; /* Background Color */
    --background-darker: #1c1e24; /* Background Color */
    --current-line: #44475a; /* Current Line Color */
    --selection: #44475a; /* Selection Color */
    --foreground: #f8f8f2; /* Foreground Color */
    --comment: #8b9ac4; /* Comment Color */
    --cyan: #8be9fd; /* Cyan Color */
    --green: #50fa7b; /* Green Color */
    --orange: #ffb86c; /* Orange Color */
    --pink: #ff79c6; /* Pink Color */
    --purple: #bd93f9; /* Purple Color */
    --red: #ff5555; /* Red Color */
    --yellow: #f1fa8c; /* Yellow Color */
  }

/*   
.comment {
    color: var(--comment) !important;
}

.function {
    color: var(--green) !important;

}

.parameter{
    color: var(--orange) !important;
}

.keyword,
.token.property {
    color: var(--purple) !important;
}

.interpolation
{
    color: var(--yellow) !important;
}

.string {
    color: var(--pink) !important;
}

.builtin,
.class-name
 {
    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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List templates

The amount of disk space, in gigabytes (GB), to allocate on the container disk for a Pod or worker. The data on the container disk is wiped when the Pod or worker restarts. To persist data across restarts, set volumeInGb to configure the local network volume.

If specified, overrides the ENTRYPOINT for the Docker image run on a Pod or worker. If [], uses the ENTRYPOINT defined in the image.

If specified, overrides the start CMD for the Docker image run on a Pod or worker. If [], uses the start CMD defined in the image.

The amount of Runpod credits earned by the creator of a template by all Pods or workers created from the template.

The image tag for the container run on Pods or workers created from a template.

Set to true if a template is public and can be used by any Runpod user. Set to false if a template is private and can only be used by the creator.

If true, a template is an official template managed by Runpod.

If true, instances created from a template are Serverless workers. If false, instances created from a template are Pods.

A user-defined name for a template. The name needs to be unique.

A list of ports exposed on a Pod or worker. Each port is formatted as [port number]/[protocol]. Protocol can be either http or tcp.

A string of markdown-formatted text that describes a template. The readme is displayed in the Runpod UI when a user selects the template.

The amount of disk space, in gigabytes (GB), to allocate on the local network volume for a Pod or worker. The data on the local network volume is persisted across restarts. To persist data so that future Pods and workers can access it, create a network volume and set networkVolumeId to attach it to the Pod or worker.

If a local network volume or network volume is attached to a Pod or worker, the absolute path where the network volume is mounted in the filesystem.

ApiKey

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

Create accounts, manage teams, and configure user permissions in 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 using the RunPod Hub.

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

Public endpoints

Publish your repositories to the Runpod 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

Pod environment variables

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

API Reference

List templates

Authorizations

Response