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Thunder Compute

★3.3
💬815
💲Paid

Thunder Compute provides affordable cloud GPUs for AI/ML tasks, offering on-demand instances and simplified development tools. Users can scale resources as needed and pay only for what they use, with features like a CLI, instance templates, and a VS Code extension for real-time file syncing.

💻
Platform
web
A100AI/MLCLICloud GPUComfy-uiDeploymentDevelopment

What is Thunder Compute?

Thunder Compute is a cloud GPU service designed for AI/ML professionals, offering on-demand GPU instances (A100, H100, Tesla T4) at competitive rates. It simplifies AI/ML development with tools like a CLI, instance templates, and a VS Code extension for real-time file syncing, enabling users to scale on demand and pay only for what they use.

Core Technologies

  • Cloud GPU
  • AI/ML
  • GPU Compute
  • On-demand GPU

Key Capabilities

  • On-demand GPU instances
  • Simple CLI for cloud development
  • Instance templates for AI/ML tools
  • VS Code extension for real-time file syncing
  • Pay-as-you-go pricing

Use Cases

  • AI/ML prototyping and development
  • Training, fine-tuning, and deploying AI models
  • Self-hosting AI/ML applications
  • Transcribing video

Core Benefits

  • Cost-effective GPU pricing
  • Easy setup and deployment
  • On-demand scaling
  • Simplified AI/ML development workflow
  • $20 free credit for new users

Key Features

  • On-demand GPU instances (A100, H100, Tesla T4)
  • Simple CLI for cloud development
  • Instance templates for common AI/ML tools
  • VS Code/Cursor extension for real-time file syncing
  • Pay-as-you-go pricing

How to Use

  1. 1
    Create an instance on Thunder Compute.
  2. 2
    Search or install a model using templates like Ollama.
  3. 3
    Develop in VS Code with the provided extension for real-time file syncing.
  4. 4
    Scale resources on demand as needed.
  5. 5
    Pay only for the GPU usage and additional resources consumed.

Pricing Plans

On-demand Tesla T4

$0.27/hr
Competitive rate, U.S. Central servers, 7+ Gbps networking

On-demand A100 40GB

$0.57/hr
Verified lowest rate, U.S. Central servers, 7+ Gbps networking

On-demand A100 80GB

$0.78/hr
Verified lowest rate, U.S. Central servers, 7+ Gbps networking

On-demand H100

$1.47/hr
Transparent hourly rates, No commitments

Persistent disk

$0.15/GB/month
(Not included in base rate)

Snapshots

$0.075/GB/month
(Compressed)

Additional cores

$0.06/vCPU/hr
(4 vCPUs included)

Frequently Asked Questions

Q.What GPUs are available on Thunder Compute?

A.Thunder Compute offers on-demand Tesla T4, A100 (40GB and 80GB), and H100 GPU instances.

Q.What is the pricing model for Thunder Compute?

A.Thunder Compute uses a pay-on-demand pricing model, charging by the hour for GPU usage. There are no commitments, and users can start with $20 free credit.

Q.How does Thunder Compute simplify AI/ML development?

A.Thunder Compute provides a simple CLI, instance templates for common tools, and a VS Code/Cursor extension for real-time file syncing, simplifying the development workflow.

Q.Where are Thunder Compute's servers located?

A.Thunder Compute's servers are located in U.S. Central.

Pros & Cons (Reserved)

✓ Pros

  • Cheapest GPU prices compared to AWS and Lambda Labs
  • Easy setup and deployment
  • On-demand scaling
  • Simplified AI/ML development workflow
  • $20 free credit for new users

✗ Cons

  • Limited server locations (U.S. Central)
  • Hourly rates can accumulate if instances are left running
  • Potential learning curve for new users

Alternatives

No alternatives found.