Thunder Compute

Thunder Compute provides cost-effective, on-demand GPU instances tailored towards AI/ML workloads. It offers a developer-friendly environment with rapid deployment and flexible hardware configurations, emphasizing a smooth user experience through features like persistent storage and VS Code integration.

Thunder Compute

Provider Profile

Founded

Unknown

Headquarters

Unknown

Pricing Model

Per-minute billing; example costs - NVIDIA A100 80GB at $0.78/hr

Provider Console

Technical Specification

Target Audience
  • Machine Learning Engineers
  • AI Researchers
  • Startups
  • AI Consulting Firms
  • Academic Labs
GPU Clusters & Offerings
  • NVIDIA H100 80GB
  • NVIDIA A100 80GB
  • NVIDIA A100 40GB
  • NVIDIA A6000 48GB (Prototyping only)
Network Fabric
  • Dynamic IP
  • 7 Gbps Egress/Ingress
Connectivity Bandwidth
7-10 Gbps
Storage Architecture
Persistent storage with snapshots
Compute Framework Compatibility
  • PyTorch
  • CUDA
Resource Orchestration
Unknown
Security Infrastructure
  • Automatic HTTPS
  • DDoS protection
Developer Interface & APIs
  • CLI port manipulation tools
  • RESTful API for instance management
Support Operations
  • Integrated developer tools via VS Code
  • CLI for port forwarding and tunneling
  • Comprehensive documentation
Resource Availability
Available
Datacenter Locations
Regulatory Compliance
  • Automatic HTTPS
  • DDoS protection
Key Platform Features
  • Persistent storage with snapshots
  • Hardware hot-swapping
  • VS Code integration
  • Dynamic IP addressing
  • Port forwarding with CLI tools
  • Support for scientific Python libraries and various CUDA tools

Last Audit: February 2026