(() => {
  // 1. Fix up canonical URL if it's a relative path
  const link = document.querySelector("link[rel='canonical']");
  if (link) {
    const current = link.getAttribute("href") || "";
    if (current.startsWith("/")) {
      link.setAttribute("href", "https://www.thundercompute.com" + current);
    }
  }

  // 2. Inject Organization schema JSON-LD
  const orgSchema = {
    "@context": "https://schema.org",
    "@type": "Organization",
    "name": "Thunder Compute",
    "url": "https://www.thundercompute.com",
    "logo": "https://framerusercontent.com/images/CXKLnN81r2hTkom6MFekpYr7qs.png",
    "description": "Thunder Compute is the most affordable GPU cloud platform for researchers and indie devs.",
    "foundingDate": "2024-02-23",
    "founder": [
      { "@type": "Person", "name": "Carl Peterson" },
      { "@type": "Person", "name": "Brian Model" }
    ],
    "contactPoint": [
      {
        "@type": "ContactPoint",
        "contactType": "Customer Support",
        "email": "support@thundercompute.com"
      }
    ],
    "sameAs": [
      "https://x.com/ThunderCompute",
      "https://www.linkedin.com/company/102863366",
      "https://www.crunchbase.com/organization/thunder-9b4c",
      "https://www.producthunt.com/products/thunder-compute",
      "https://www.ycombinator.com/companies/thunder-compute"
    ]
  };

  const script = document.createElement("script");
  script.type = "application/ld+json";
  script.text = JSON.stringify(orgSchema, null, 2);
  document.head.appendChild(script);
})();


Use cases

Technical specs

Officially supported libraries

Experimental or unsupported

Cryptocurrency mining

Miscellaneous tips

Recommended Guides

Learn about Thunder Compute's technical specs, supported AI/ML libraries (PyTorch, Hugging Face), limitations, and strengths

Compatibility

Thunder Compute

Get started with Thunder Compute quickly using our VSCode extension (recommended) or CLI. Learn installation, authentication, and basic usage in minutes.

Quickstart

Comprehensive reference for the Thunder Compute CLI. Manage instances (create, start, stop, delete), configure GPUs/CPUs, handle files, and use snapshots.

CLI Reference

Troubleshoot common Thunder Compute errors. Find solutions for connection issues, function errors, SSH problems, and access logs. Get support via Discord.

Troubleshooting

Understand Thunder Compute's usage-based billing, payment methods, free credits, billing alerts, current rates, and tips for saving on GPU cloud costs.

Billing

Set up and run Jupyter Notebooks on Thunder Compute's affordable cloud GPUs. Connect via VSCode, install extensions, and verify GPU access for ML/data science.

Jupyter Notebooks

Run Jupyter Notebooks

Integrate Thunder Compute with VSCode/Cursor for development on affordable cloud GPUs. Install the extension, create an instance, and connect your IDE.

VSCode/Cursor Integration

Learn how to install Conda on Thunder Compute using the recommended Miniforge installer. Follow step-by-step instructions for setup and activation.

Installing Conda

Install Conda (Miniforge)

Quickly deploy LLMs (Ollama) and AI image generators (ComfyUI, WebUI Forge) on Thunder Compute using pre-configured instance templates. Get started fast.

Instance Templates

Use Instance Templates for AI

Learn how to use Docker with automatic GPU support on Thunder Compute instances. Run containers, manage images, and troubleshoot common Docker issues.

Docker

Using Docker

Run DeepSeek R1 affordably on Thunder Compute. This guide shows how to set up an A100 GPU instance and use Ollama for cost-effective model deployment.

DeepSeek R1

Run DeepSeek R1 Affordably

Resolve common SSH connection errors (bad permissions, protocol banner, key auth) on Thunder Compute. Follow step-by-step fixes for `tnr connect` issues.

SSH Troubleshooting

Troubleshoot SSH Errors

Troubleshoot the 'tnr: command not found' error by adding Python's scripts directory to your system PATH on Windows, macOS, or Linux. Includes verification steps.

Fixing 'tnr not found'

Fix 'tnr not found' Error

Install the Mintlify MCP server to host Thunder Compute docs locally. Enables AI tools like Cursor to provide instant answers based on documentation.

MCP server

Install MCP Server

Get started for free in under 60 seconds:

Thunder Compute provides managed instances that are optimized for performance. The Thunder Compute CLI contains all of the functionality you need to create, edit, use, and delete these instances.

Below are some notes on Compatibility of different libraries with Thunder Compute

If something goes wrong, a few steps may resolve your issue.

You can run a Jupyter Notebook on Thunder Compute with one command. Follow the steps below to try it yourself.

How to use a Jupyter Notebook on Thunder Compute

This guide will walk you through integrating Thunder Compute with Visual Studio Code or Cursor, allowing you to develop and manage your projects directly on a Thunder Compute instance from your local IDE.

Integrating Thunder Compute with VSCode or Cursor

This guide explains how to install Conda using the Conda-forge installer (Miniforge)

Installing Conda on Thunder Compute

Learn how to use Thunder Compute's pre-configured instance templates for popular AI applications

Using Instance Templates

This guide explains how to use Docker from within a Thunder Compute instance

Using Docker on Thunder Compute

This guide explains how to run DeepSeek R1 locally on Thunder Compute

DeepSeek R1 running locally on Thunder Compute

Quick fixes for common SSH errors when using tnr connect

Troubleshooting SSH Errors on Thunder Compute

Guide to resolving 'tnr not found' by adding Python scripts directory to PATH

Documentation

Guides

​Use cases

​Technical specs

​Officially supported libraries

​Experimental or unsupported

​Cryptocurrency mining

​Miscellaneous tips

​Recommended Guides