Thunder Compute

Overview

Access cloud GPUs for AI/ML projects efficiently.

Thunder Compute is a cloud-based solution that facilitates access to network-attached GPUs, streamlining the process for developers working on AI and machine learning projects. The platform allows users to deploy models in under 60 seconds, eliminating the need for extensive driver configurations.

With Thunder Compute, developers can utilize cloud GPUs efficiently and effortlessly by executing a single line of code. The technology promotes easy scaling, enabling users to prototype and manage multiple GPU clusters with just one command. Enterprises benefit financially by minimizing idle GPU costs and reducing the time spent on manual infrastructure management.

Use Cases

• Deploy machine learning models in under 60 seconds with Thunder Compute, allowing developers to focus on model optimization rather than complex setup processes.
• Skimming infrastructure management time by utilizing a single command to prototype and manage multiple GPU clusters, streamlining the development workflow for AI applications.
• Maximize GPU resource utilization and minimize costs through efficient GPU virtualization, enabling enterprises to allocate resources without the risk of idle capacity.

Pricing

Free trial available before committing to a paid plan.

• Nvidia t4: $0.00/gpu/hour
• Thunder compute instance: $0.30/hour
• Nvidia t4 (additional): $0.40/gpu/hour
• Additional cores: $0.075/core/hour
• Nvidia a100, 40gb: $2.20/gpu/hour
• Additional storage: $0.009/100gb/hour

Who Is It For

• Cloud infrastructure managers
• Machine learning engineers
• Data scientists
• Gpu computing specialists
• Scalable computing users