Thunder Compute

Thunder Compute: Affordable and Accessible GPU Cloud Platform

What is Thunder Compute?

Thunder Compute is a GPU cloud platform designed for researchers, startups, and data scientists working on AI and machine learning projects. It offers one-click GPU instances that are significantly more affordable, claiming to be 80% cheaper than competitors like AWS. This makes it easier and more cost-effective to access the necessary computing power for demanding AI/ML tasks.

How does Thunder Compute work?

Thunder Compute simplifies the process of setting up and managing GPU instances. Users can spin up dedicated GPUs in seconds and develop directly within VS Code, a popular code editor. Key features include:

• One-click setup: Quickly launch a GPU instance without complex configurations.
• VS Code integration: Develop and deploy directly from your familiar VS Code environment.
• Hardware flexibility: Easily swap hardware configurations to match your project's needs.
• Persistent environment: Maintain a consistent development environment.

Key Features and Benefits

• Cost Savings: The platform offers on-demand pricing that is significantly lower than AWS, allowing developers to develop on powerful GPUs like A100 without breaking the bank.
• Simplified Setup: Thunder Compute removes the complexities of traditional GPU setups, eliminating the need for SSH keys, CUDA installs, and manual dependency management.
• Rapid Development: The VS Code extension and instance templates streamline the development process, allowing users to get their projects running in seconds rather than days.
• Scalability: Easily change instance specifications (vCPUs, RAM, storage) with a few clicks to adapt to changing project requirements.
• Instance Templates: Pre-configured templates are available for popular tools such as Ollama and Comfy-ui, enabling users to quickly get started with their preferred frameworks.

Who is Thunder Compute for?

Thunder Compute is ideal for:

• Researchers: Access affordable GPU resources for AI/ML research projects.
• Startups: Reduce infrastructure costs and accelerate development for AI-driven applications.
• Data Scientists: Quickly prototype and scale machine learning models.
• Machine Learning Engineers: Streamline the development and deployment process.

Why is Thunder Compute important?

Thunder Compute democratizes access to GPU computing, making it more affordable and accessible for a wider range of users. By simplifying the setup and management of GPU instances, Thunder Compute empowers developers to focus on building innovative AI/ML applications without being constrained by cost or complexity.

Testimonials

• "The VS Code extension helps me iterate faster. Anything that makes paper deadlines less stressful is a win." - PhD in Machine Learning, U.C. Berkeley
• "I ship faster and our CEO loves the savings. So far, I've convinced nine of our MLEs to switch." - ML Engineer, Series B startup
• "The amount of value is insane. We are bootstrapped and run 2-3 fine-tuning jobs around the clock." - Co-founder, Data Science Consultancy

Pricing

Thunder Compute offers competitive on-demand pricing for various GPU configurations, including:

• Tesla T4
• A100 40GB
• A100 80GB

Users can customize vCPUs, RAM, and storage to match their specific needs. During the beta period, Thunder Compute is matching 100% of the first credit purchase, up to $50.

In conclusion, Thunder Compute provides a compelling solution for anyone seeking affordable and accessible GPU computing for AI/ML development. Its one-click setup, VS Code integration, and competitive pricing make it a valuable tool for researchers, startups, and data scientists.