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:T506,

What is Thunder Compute?

Thunder Compute provides cheap cloud GPUs for AI/ML, offering on-demand A100 & H100 GPU instances for up to 80% less. It simplifies AI/ML prototyping and development with tools like a simple CLI, instance templates, and VS Code/Cursor extension for real-time file syncing. Users can scale on demand and pay only for what they use.

How to use Thunder Compute?

Create an instance, search/install a model, and run it using templates like Ollama. Develop in VS Code with the provided extension for real-time file syncing.

Thunder Compute's Core Features

On-demand GPU instances (A100, H100, Tesla T4)

Simple CLI for cloud development

Instance templates for common AI/ML tools

VS Code/Cursor extension for real-time file syncing

Pay-as-you-go pricing

Thunder Compute's Use Cases

#1 AI/ML prototyping and development

#2 Training, fine-tuning, and deploying AI models

#3 Self-hosting AI/ML applications

#4 Transcribing video

Thunder Compute

📋Introduction

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