21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T512,

What is RunPod?

RunPod is a cloud platform specializing in GPU rentals, offering cost-effective solutions for AI development, training, and scaling. It provides on-demand GPUs, serverless inference, and tools like Jupyter for PyTorch and TensorFlow, catering to startups, academic institutions, and enterprises.

How to use RunPod?

Users can rent GPUs on-demand, deploy containers, and scale ML inference using RunPod's platform. It supports various AI frameworks and offers tools for development, training, and deployment.

RunPod's Core Features

GPU Cloud for on-demand GPU rentals

Serverless GPU for scalable ML inference

Support for PyTorch, TensorFlow, and other AI frameworks

Custom container deployment

Network storage

CLI tool for hot reloading and deployment

RunPod's Use Cases

#1 Developing and training AI models

#2 Scaling ML inference for applications

#3 Deploying AI applications in minutes

#4 Running machine learning training tasks

RunPod

📋Introduction

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