Thunder Compute offers one-click GPU instances with on-demand Tesla A100 and T4 GPUs at up to 80% less than AWS. Develop faster with VS Code integration.
Thunder Compute is a GPU cloud platform designed for developers, machine learning engineers, and data scientists seeking affordable and flexible GPU compute power. It offers one-click GPU instances that provide on-demand access to powerful GPUs like Tesla A100 and T4 at prices significantly lower than major cloud providers. Users can spin up dedicated GPUs in seconds, integrate development directly in Visual Studio Code, and customize hardware specs as needed.
Affordable GPU Instances: Thunder Compute delivers on-demand Tesla A100 80GB GPUs starting at $0.78/hr and Tesla T4 GPUs at $0.27/hr, saving up to 80% compared to AWS pricing. This pricing enables cost-efficient development and experimentation.
One-Click Setup and VS Code Integration: Developers can launch GPU instances and connect instantly within VS Code using its extension, enabling faster iteration cycles without complex configuration or dependency installs.
Flexible Hardware Configuration: Users can customize vCPUs, RAM, and expandable disk storage. Changing the GPU type or adjusting specs is done with just a single click, allowing seamless scalability from prototyping to production.
Persistent Environments with Snapshots: Maintain data safety and project continuity by taking snapshots and connecting to persistent environments. This allows pausing or switching between projects without losing work.
High-Speed Networking: Instances offer 7-10 Gbps networking, supporting data-intensive workflows and reducing bottlenecks for machine learning and deep learning tasks.
Machine Learning Engineers: Those needing affordable, high-powered GPUs to run training, fine-tuning, or inference workloads can save costs and accelerate development.
Data Scientists and Researchers: Users running continuous experiments benefit from the low hourly pricing and ability to adjust resources quickly.
Startups and Bootstrapped Teams: Businesses seeking to maximize compute power without long-term contracts or expensive bills find value in pay-as-you-go pricing and flexibility.
Thunder Compute is a GPU cloud platform that provides on-demand, one-click access to powerful GPUs such as Tesla A100 and T4. It targets developers and researchers who need cost-effective, scalable GPU instances integrated with development tools like VS Code.
This platform is ideal for machine learning engineers, data scientists, startups, and tech teams looking for flexible GPU compute resources at reduced costs with easy setup and management.
Thunder Compute offers up to 80% savings compared to AWS GPU pricing, with pay-as-you-go rates starting at $0.27/hr for Tesla T4 and $0.78/hr for A100 GPUs.
Yes, you can customize vCPUs, RAM, and storage details, and switch GPU types anytime with just one click, adapting to changing workload demands.
Visit the official Thunder Compute website to create an account, install the VS Code extension, and launch your first GPU instance in seconds. The platform includes pre-built templates to simplify setup.
Thunder Compute combines affordable pricing with flexible, developer-friendly GPU access, helping reduce time to deployment without compromising performance.