Thunder Compute logo

Thunder Compute

Paid

World's Cheapest GPUs Cloud Platform

#youtube
Starting Price
$0.35/mo
Type
Saas
Company
Thunder Compute

About 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

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

Key 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

Use Cases

  • AI/ML prototyping and development
  • Training, fine-tuning, and deploying AI models
  • Self-hosting AI/ML applications
  • Transcribing video

FAQ

Where are Thunder Compute's servers located? Thunder Compute Pricing Thunder Compute Pricing Link: https://www.thundercompute.com/pricing?utm_source=toolify Claude Code API (code0.ai) Stable domestic direct-connect proxy for Claude API with CNY payment and low latency.

Key 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

Pros & Cons

Pros
  • On-demand pricing up to 80% less than AWS
  • Often the cheapest GPU cloud option compared to major providers (AWS, Azure, GCP, CoreWeave, Lambda, etc.)
  • Production-grade reliability with enterprise data centers
  • Transparent, per-minute billing
  • Fast instance provisioning (minutes)
  • Persistent storage snapshots allow easy resumption
  • No data egress fees
  • Proprietary software optimizations increase efficiency and lower costs
Cons
  • Limited to four GPU types (RTX A6000, L40, A100 80GB, H100 PCIe)
  • No spot/preemptible instance option
  • Relatively new platform with potentially smaller global footprint

Best For

AI/ML prototyping and developmentTraining, fine-tuning, and deploying AI modelsSelf-hosting AI/ML applicationsTranscribing video

Alternatives to Thunder Compute