> ## Documentation Index
> Fetch the complete documentation index at: https://runpod-b18f5ded-promptless-websocket-streaming-tutorial.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Welcome to Runpod
> Explore our guides and examples to deploy your AI/ML application on Runpod.
Runpod is a cloud computing platform built for AI, machine learning, and general compute needs. Whether you're running deep learning models, training AI, or deploying cloud-based applications, Runpod provides scalable, high-performance GPU and CPU resources to power your workloads.
## Get started
If you're new to Runpod, start here to learn the essentials and deploy your first GPU.
Create an account, deploy your first GPU Pod, and use it to execute code.
Learn about the key concepts and terminology for the Runpod platform.
Create API keys to manage your access to Runpod resources.
Learn how to manage your account, teams, and billing.
You can also watch this video for a high-level overview of our products:
## Serverless
Serverless provides pay-per-second computing with automatic scaling for production AI/ML apps. You only pay for actual compute time when your code runs, with no idle costs, making Serverless ideal for variable workloads and cost-efficient production deployments.
Learn how Serverless works and how to deploy pre-configured endpoints.
Learn how Serverless billing works and how to optimize your costs.
Deploy a large language model for text or image generation in minutes using vLLM.
Build a custom worker and deploy it as a Serverless endpoint.
## Pods
Pods give you dedicated GPU or CPU instances for containerized AI/ML workloads. Pods are billed by the minute and stay available as long as you keep them running, making them perfect for development, training, and workloads that need continuous access.
Understand the components of a Pod and options for configuration.
Learn about Pod pricing options and how to optimize your costs.
Learn how to choose the right Pod for your workload.
Learn how to deploy a Pod with ComfyUI pre-installed and start generating images.
## Public Endpoints
Public Endpoints provide instant API access to pre-deployed AI models for image, video, and text generation without zero setup. You only pay for what you generate, making it easy to integrate AI into your applications without managing infrastructure.
Test and deploy production-ready AI models using Public Endpoints.
Review the list of available models on Public Endpoints.
## Instant Clusters
Instant Clusters deliver fully managed multi-node compute clusters for large-scale distributed workloads. With high-speed networking between nodes, you can run multi-node training, fine-tune large language models, and handle other tasks that require multiple GPUs working in parallel.
Learn how instant clusters work and see deployment options.
Deploy Slurm Clusters with zero configuration.
Run distributed PyTorch workloads on Instant Clusters.
Fine-tune LLMs using Axolotl on Instant Clusters.
## Support
Submit a support request using our contact page.
Email [help@runpod.io](mailto:help@runpod.io) for direct support.
Check the status of Runpod services and infrastructure.
Join the Runpod community on Discord.