Thunder Compute
PaidWorld's Cheapest GPUs Cloud Platform
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
Pros & Cons
- 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
- 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
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