platoseedplatoseed
The world's cheapest GPU cloud
One-click GPU instances with persistent storage, snapshots, and hot-swappable hardware, with the lowest prices anywhere.
Thunder Compute offers on-demand access to high-end GPUs at perceived price leadership, enabling users to spin up GPU instances from within VS Code, the CLI, or a browser. They advertise significantly lower prices than AWS, with no contracts or egress fees and expandable storage. The product targets developers and ML engineers needing scalable GPU power quickly.
Users can launch dedicated GPU instances (e.g., A100, H100, RTX A6000) on-demand with per-GPU hourly rates. The service provides 1-click startup from VS Code or web interfaces, expandable disk storage, customizable vCPUs and RAM, and high networking bandwidth (7-10 Gbps). Customers can switch GPUs, adjust storage, take snapshots, and stay connected through a persistent environment in VS Code. Pricing claims include 80% savings versus AWS and “verified lowest rate” across listed SKUs.
Who it’s for: Developers, ML engineers, ML teams, startups needing rapid, cost-effective access to GPU compute for development, training, and fine-tuning workflows.
Pricing claims and customer quotes section; multiple product feature mentions; emphasis on developer UX and VS Code integration.
CTO of Thunder Compute, formerly Quantitative Developer at Citadel Securities
Self-serve GPUs in VS Code with persistent storage, snapshots, and hot-swappable hardware, for 80% less than AWS
Thunder Compute offers cloud GPUs accessed via VS Code without SSH, with a prototyping mode at about 50% lower prices and a production mode for higher uptime and multi-GPU nodes, targeting developers needing affordable, easy GPU access.
