Get started
Quickstart
Create an account and deploy your first Pod.
Choose a Pod
Select the right GPU type and configuration for your workload.
Connect to your Pod
Access your Pod via SSH, JupyterLab, or VS Code.
Concepts
Templates
Pre-configured Docker image setups that let you quickly spin up Pods without manual environment configuration. Instead of installing PyTorch, configuring JupyterLab, and setting up all dependencies yourself, you can select an official Runpod PyTorch template and have everything ready to go instantly.Storage
Pods offer three types of storage: for temporary files, for persistent storage throughout the Pod’s lease, and optional s for permanent storage that can be transferred between Pods.Connection
Once deployed, you can connect to your Pod through SSH for command-line access, web proxy for exposed web services, JupyterLab for data science workflows, or VS Code/Cursor for local IDE integration.Deployment options
You can deploy Pods in several ways:- From a template: Pre-configured environments for quick setup of common workflows.
- Custom containers: Pull from any compatible container registry such as Docker Hub, GitHub Container Registry, or Amazon ECR. Learn more about creating your own container images.
- From Serverless repos: Deploy any -compatible repository from the directly as a Pod.
Pod types
Runpod offers two cloud options:- Secure Cloud: Operates in T3/T4 data centers, providing high reliability and security for enterprise and production workloads.
- Community Cloud: Connects individual compute providers to users through a vetted, secure peer-to-peer system, with competitive pricing options.
Pricing
Pods are billed by the minute with no fees for ingress/egress. Runpod also offers long-term savings plans for extended usage patterns. See Pod pricing for details.Limitations
- Docker Compose is not supported: Runpod runs Docker for you, so you cannot spin up your own Docker instance or use Docker Compose on Pods.
- UDP connections are not supported: Pods only support TCP and HTTP connections.
- Windows is not supported: Pods do not currently support Windows.
Tutorials
Run Ollama on a Pod
Run LLM inference with HTTP API access.
Build Docker images with Bazel
Emulate a Docker-in-Docker workflow.
Create a custom template
Build your own reusable Pod template.