Thunder Compute

Thunder Compute is a self-hosted AI/ML GPU cloud that lets you run AI models on the same GPUs powering OpenAI, virtualized to save you up to 80% compared to traditional cloud providers. It targets teams and individuals who want cost-efficient, on-demand GPU power with an emphasis on ease of use, speed, and local control.

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Overview

• Access enterprise on-demand GPUs (Tesla T4, A100, H100) in the U.S. Central region with 7+ Gbps networking.
• Pay-as-you-go pricing: Tesla T4 at 0.27/hr, A100 at 0.57/hr, H100 at 1.47/hr.
• Self-host AI/ML workloads without long-term commitments or vendor lock-in.
• Features designed to simplify deployment, management, and scaling of GPU-backed AI projects.

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How It Works

• One command creates a GPU instance with the required specs using a fast CLI.
• Quick-start templates and integrations help you get up and running with common AI/ML stacks.
• Manage, connect, and scale instances as your workloads grow, with dedicated tooling for easy operations.
• Real customer testimonials highlight cost savings and ease of setup compared with other cloud providers.

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Getting Started

1. Use the CLI to create a GPU instance with your desired specs.
2. Connect to the instance and install the models and tools you need (eg. Ollama, Comfy-ui, VS Code integration).
3. Manage, deploy, and scale your AI workloads directly from Thunder Compute.

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What You Get

• Cheap, on-demand GPU instances for AI/ML development and inference
• CLI-driven provisioning and management for speed and repeatability
• Pre-configured instance templates to quickly set up common tools
• Easy local development workflows with VS Code integration and remote access
• Competitive pricing and a focus on cost-efficiency without sacrificing performance

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Safety and Compliance

• Use within applicable laws and terms; manage data responsibly when running models and storing results.

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Core Features

• On-demand GPU instances (Tesla T4, A100, H100) in the U.S. Central region with high-speed networking
• Pay-as-you-go pricing to minimize up-front costs
• One-command GPU instance creation for rapid bootstrapping
• CLI-based management for Create, Connect, Manage lifecycle
• Preconfigured instance templates for tools like Ollama, Comfy-ui, and code editors
• VS Code integration for seamless local-remote development
• Resources and docs to simplify AI/ML development and deployment