RunPod
GPU cloud for renting on-demand GPUs and running serverless ML inference.
Introduction
RunPod rents GPUs on demand and offers serverless GPU inference for AI development, training, and scaling. Users can deploy custom containers and use a CLI for hot reloading. Network storage and frameworks such as PyTorch and TensorFlow are supported.
- Added on
- Nov 2, 2026
- Website
- runpod.io
- Company
- RunPod
Product information
What is RunPod?
RunPod is a cloud platform for GPU rentals and serverless inference, aimed at AI developers, researchers, and teams.
How to use RunPod?
Sign in to the console, rent a GPU pod or deploy a container, or set up a serverless endpoint to scale ML inference.
Core features of RunPod
- On-demand GPU Cloud
- Serverless GPU for ML inference
- Support for PyTorch, TensorFlow, and other frameworks
- Custom container deployment
- Network storage
- CLI for hot reloading and deployment
Use cases of RunPod
- 1Developing and training AI models
- 2Scaling inference for applications
- 3Deploying AI applications quickly
- 4Running machine learning training jobs
Frequently asked questions about RunPod
What services does RunPod offer?+
GPU Cloud for on-demand rentals and Serverless GPU for scalable ML inference, with support for common AI frameworks.
What is Flashboot?+
RunPod describes Flashboot as a feature that reduces cold-start times to under 250 milliseconds.
What is the cost of network storage?+
The site lists network storage at $0.05 per GB per month.
Which category is RunPod in?+
RunPod is listed under AI Code Editor.