
Thunder Compute
The world's cheapest GPUs

Description
Thunder Compute positions itself as a provider of cost-effective GPU cloud services, specializing in offering access to high-performance NVIDIA hardware for AI and machine learning tasks. The platform allows users to rent powerful GPUs such as the Tesla T4, A100 (both 40GB and 80GB variants), and the H100 on a flexible, pay-as-you-go basis. This model is designed to cater to developers and businesses looking for affordable and scalable compute resources without long-term commitments, primarily for self-hosting AI models and other demanding computational workloads.
The service emphasizes its competitive pricing, claiming to offer the world's cheapest GPUs. Users benefit from an initial offering of over 35 hours of free A100 compute time, after which they pay per minute of usage. Standard configurations include 4 vCPUs and 16GB RAM, hosted in U.S. Central servers, with options to add persistent disk storage, snapshots, additional CPU cores, and memory, making it a versatile choice for various AI development and deployment needs.
Key Features
- Pay-as-you-go GPU Access: Rent NVIDIA Tesla T4, A100 (40GB & 80GB), and H100 GPUs on demand.
- Cost-Effective Compute: Billed per minute of usage with highly competitive hourly rates.
- Free A100 Compute Time: Get started with over 35 hours of free A100 GPU time.
- Configurable Resources: Standard 4 vCPUs / 16GB RAM, with add-on options for persistent disk, snapshots, additional cores, and memory.
- U.S. Central Servers: GPU instances hosted in U.S. Central data centers for optimal performance.
Use Cases
- Self-hosting artificial intelligence models and applications
- Training machine learning and deep learning models
- Running GPU-accelerated computational tasks
- Cost-sensitive AI development and batch processing
- Scalable GPU resources for research and development
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