About

RunPod

RunPod is a cloud computing platform, primarily designed for AI and machine learning applications. Our key offerings include GPU Instances, Serverless GPUs, and AI Endpoints.

GPU Instances

Our GPU Instances allow you to deploy container-based GPU instances that spin up in seconds using both public and private repositories. They are available in two different types: Secure Cloud and Community Cloud. The Secure Cloud runs in T3/T4 data centers providing high reliability and security, while the Community Cloud connects individual compute providers to consumers through a vetted, secure peer-to-peer system.

Serverless GPUs

The Serverless GPU service offers pay-per-second serverless GPU computing, bringing autoscaling to your production environment. This service, part of our Secure Cloud offering, guarantees low cold-start times and stringent security measures.

AI Endpoints

Our AI Endpoints are fully managed and scaled to handle any workload. They are designed for a variety of applications including Dreambooth, Stable Diffusion, Whisper, and more.

Additional Features

RunPod also provides a CLI / GraphQL API to automate workflows and manage compute jobs effectively. Users can access multiple points for coding, optimizing, and running AI/ML jobs, including SSH, TCP Ports, and HTTP Ports. We also offer OnDemand and Spot GPUs to suit different compute needs, and Persistent Volumes to ensure the safety of your data even when your pods are stopped. Our Cloud Sync feature allows seamless data transfer to any cloud storage.

Our Mission

RunPod is committed to making cloud computing accessible and affordable to all without compromising on features, usability, or experience. We strive to empower individuals and enterprises with cutting-edge technology, enabling them to unlock the potential of AI and cloud computing.

For any general inquiries, we recommend browsing through our documentation. Our team is also available on Discord, our support chat, and by email. More information can be found on our contact page.